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1
Chang, Jon Carlton 1963. "Modification and calibration of a solar spectroradiometer system." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276858.
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A solar spectroradiometer is an instrument used for measuring the transmitted solar radiation on a quasi-continuous basis. An existing computer controlled solar spectroradiometer system has been modified and made operable. Test measurements have shown that the signal to noise ratio (which is time of day and wavelength dependent) is at an acceptable level. The chief use of the spectroradiometer will be for atmospheric transmittance studies, which will require calibration of the instrument. Strategies for calibrating the instrument have been discussed.
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Garcia, John Phillips 1956. "Design and realization of a portable infrared solar spectroradiometer." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276898.
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A multiple wavelength, portable, solar spectroradiometer designed to measure atmospheric optical depth at several discrete wavelengths between 1 mum and 4 mum has been developed. The instrument employs a manually operated filter wheel to select wavelength bands with minimal gaseous absorption, and a thermoelectrically cooled PbSe photoconductor is used as the detector. Mechanically chopped solar radiation is converted by the photoconductor into a modulated electrical signal which is then processed by a miniaturized lock-in amplifier to produce a DC voltage proportional to solar irradiance. Example optical depth measurements are presented and discussed.
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Ulanch, Rachel N., and Rachel N. Ulanch. "Replicating the Blue Wool Response Using a Smartphone Spectroradiometer." Thesis, The University of Arizona, 2017. http://hdl.handle.net/10150/625689.
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A spectroradiometer was developed using the rear camera of the Samsung S7 smartphone for replicating the response of blue wool, a light comparative fading test from the textile industry that was adopted by the art conservation community in the 1960s. This technique was regarded as a cost effective, readily available comparative standard for understanding lightfastness of museum objects, but not an end all solution. Many other solutions have been found since the suggestion of the blue wool standard. Including the Canadian Light Damage Calculator and Lightcheck® ,which are comparator guides for lighting museum objects. The Berlin model for comparing tested spectral data is taken with expensive equipment, to a database to determine an objects sensitivity. Microfadeometry that directly tests the object with a 0.4-mm diameter focused Xenon source that deteriorates the artwork. None however have been able to completely replace the vetted, cost effective, easy to use blue wool standard for determining the sensitivity of museum and gallery objects, but a solution is needed.
The solution is a designed and tested smartphone spectroradiometer attachment that measures the illumination and reflectance spectrum of museum and gallery objects to deduce an absorption spectrum that can be correlated to an expected blue wool response under the same conditions. The attachment for the phone is made from off the shelf and 3D printed parts. It has measured the deterioration of blue wool under a high intensity source and can predict the expected time for a blue wool specimen to visibly fade under the illumination of museum LED lighting.
This thesis covers the design, modeling and testing experiment for the smartphone spectroradiometer that currently has a resolution of ± 7 nm, a spectral range from 393 to 650 nm with five orders of magnitude and an absolute radiometric error of 27.5% with the possibility of room for improvement. This includes increasing the accuracy of the modeled spectrum of the sun used for calibration, applying more advanced noise removal techniques, applying filters in post processing for better resolution and of course using a smartphone that takes raw images and can have its optical image stabilizer turned off during manual mode.
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McLinden, Christopher Anthony. "Observations of atmospheric composition from NASA ER-2 spectroradiometer measurements." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0025/NQ33542.pdf.
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Zielinskie, David Alphonse. "System design and demonstration of a CCD-based solar spectroradiometer." Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/289762.
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The Atmospheric Remote Sensing Lab at the University of Arizona's Electrical and Computer Engineering Department has been involved with the study and measurement of atmospheric gases and aerosols for many years. The research has been conducted using instruments designed and constructed by the lab. This dissertation presents a system design for the next step in the evolution of spectroradiometers designed by the Atmospheric Remote Sensing Lab. The design draws upon the lessons learned from previous generations of radiometers and from the requirements of ongoing research. The proposed spectroradiometer uses an inexpensive CCD as the detector and takes advantage of modern processors and re-programmable CPLDs. The new design employs an embedded DSP in a novel way; it provides high level control over the CCD detector, receives serial ADC data and communicates with a Host computer. Through the use of one of the serial channels, the DSP identifies when to accumulate charge in the CCD and when to dump it. This controlled sampling allows charge to accumulate from adjacent cells internal to the CCD, improving the SNR in regions of poor spectral transmission. Since the charge accumulate/reset is controlled by the DSP through software, the sequence is programmable using the host computer interface and can be dynamically re-programmed to accommodate changing atmospheric conditions. A re-programmable CPLD isolates the DSP from the detector hardware and provides low level control of the detector assembly. The CPLD accepts high level commands from the DSP and generates the low level clocks and control signals used by the CCD and ADC. This capability permits the CPLD to be re-programmed to accommodate various CCDs and ADCs available today and in the future without altering the Host communication, control or analysis software. The capabilities of the instrument can be altered by downloading new software to the embedded DSP. Provisions have been made to download software or configuration data to the instrument and execute from RAM. Once correct operation of the software has been verified, it can copied to non-voltile memory.
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Bracher, Grant Allan. "Detection of nutrient stress in Douglas-fir seedlings using spectroradiometer data." Thesis, University of British Columbia, 1991. http://hdl.handle.net/2429/30961.
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Narrow-band spectral reflectance measurements in the visible and near-infrared region of the spectrum were investigated for the detection of nutrient deficiencies, and estimating the foliar concentrations of nitrogen, phosphorus, sulphur, and total chlorophyll. One-year-old Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) seedlings were treated with 24 nutrient solutions containing nitrogen, phosphorus and sulphur levels ranging from 1 to 400 mg/L. After one growing season, newly matured needles were harvested, spectral reflectance measured from 400 to 1100 nm, and foliar samples analyzed for nutrient and chlorophyll levels.
Several nutrient deficiencies were diagnosed. There were no unique changes in spectral reflectance which could be attributed to a specific nutrient deficiency; rather changes in reflectance were non-specific responses influenced by how varying nutrient levels affected total chlorophyll concentration. All deficiencies caused decreases in total chlorophyll, thus demonstrating the value of total chlorophyll as an indicator of nutrient stress.
Correlation coefficients were calculated describing the degree of association between foliar nitrogen, phosphorus, sulphur and total chlorophyll, and the following spectral parameters: the wavelength of the red edge, percent spectral reflectance at 554 and 630 nm (red rise), and 15 vegetation indices (VIs). VIs were first determined using combinations of spectral reflectances at 480, 554, 800 nm and the wavelength of the red well (674 nm; called red well
VIs), and then recalculated using red rise (called red rise VIs) rather than red well measurements to see if greater correlation with foliar constituents could be obtained. Although the use of red rise measurements in the calculation of VIs 1, 2, 3, 12 and 14 resulted in higher correlation coefficients, differences between coefficients were seldom statistically significant.
Red well and red rise VI15 were most correlated with the needle nitrogen content of individual Douglas-fir, red rise VI10 with phosphorus, and spectral reflectance at 554 nm and red well VI15 with total chlorophyll. These parameters proved useful indicators of relative nitrogen, phosphorus and total chlorophyll content. None of the VIs or other spectral parameters followed the same relationship with foliar sulphur for the sulphur, nitrogen and phosphorus treatments; consequently, none were deemed suitable for sulphur estimation.Forestry, Faculty of
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Smith, Mark William. "Design, construction, and calibration of a portable short wave infrared spectroradiometer." Diss., The University of Arizona, 1992. http://hdl.handle.net/10150/185990.
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This dissertation describes the design, construction, and calibration of a portable short wave infrared (SWIR) spectroradiometer. The main use for the instrument is the collection of ground reflectance and radiance data for the radiometric calibration of operational and proposed high spectral resolution remote-sensing systems, such as the Airborne Visible and Infrared Imaging Spectrometer (AVIRIS), the Moderate Resolution Imaging Spectroradiometer (MODIS), the High Resolution Imaging Spectrometer (HIRIS), and the Advanced Spaceborne Thermal Emission and Reflectance Radiometer (ASTER). The instrument will also be used for cross calibrating Earth Observing System (EOS) calibration facilities and for a variety of high spectral resolution studies in earth science. The instrument is designed to be carried as a backpack unit, on a vehicle, or in a helicopter or airplane. The spectroradiometer covers the range from 1.05 to 2.45 μm. The spectral sampling interval is 1.37 nm and the spectral resolution is variable from about 5 nm to more than 100 nm. A single spectrum can be acquired in as little as 1 s. The signal-to-noise ratio (SNR) for a single 1-s scan is about 90 at a wavelength of 2.2 μm for a lambertian surface of 100% reflectance illuminated by the sun at normal incidence with 14-nm spectral resolution, a 25° background temperature, and no atmospheric attenuation. The SNR can be improved by averaging multiple scans. Field-of-view defining optics are coupled by a flexible fiber optics bundle to the spectroradiometer, which consists of a non-scanning concave holographic diffraction grating with flat focal field imaged onto a 1024-element liquid-nitrogen-cooled PtSi linear-array detector. The combination of concave grating and linear-array detector was chosen in preference to Fourier transform, Hadamard transform, and scanned grating monochromator systems on the basis of simplicity, high SNR, and greatest radiometric accuracy.
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Buchhauser, David 1950. "Design, construction, and testing of a microprocessor controlled tracking and scanning solar spectroradiometer." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276567.
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A versatile solar spectroradiometer has been designed which is capable of measuring direct solar radiation, the solar aureole, and sky radiance far from the sun. An active tracker consisting of a quadrant detector, telescope and stepper-motor driven alt-azimuth mount is used to position the spectroradiometer by computer control for solar tracking and almucantur scans. An internally baffled telescope designed to suppress stray light is employed as the optical receiver, and a photodiode serves to convert the collected flux to an electrical signal. A digitally controlled gain-switching transimpedance amplifier is used to scale the photodiode output to accommodate the large signal range encountered between measuring direct solar radiation and sky radiance well away from the sun. Example measurements are presented which demonstrate the system's capabilities.
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Adhikari, Loknath. "Cloudy condition assessment within an AIRS pixel by combining MODIS and ARM ground-based lidar and radar measurements." Laramie, Wyo. : University of Wyoming, 2007. http://proquest.umi.com/pqdweb?did=1456295781&sid=7&Fmt=2&clientId=18949&RQT=309&VName=PQD.
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Braga, Alexandre. "Modulation Transfer Function Derivation for Spatial Calibration of NASA's Moderate Resolution Imaging Spectroradiometer (MODIS)." Thesis, The University of Arizona, 2000. http://hdl.handle.net/10150/615080.
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Gillan, Bonnie Jean. "Snow accumulation and melt timing at high elevations in northwestern Montana." CONNECT TO THIS TITLE ONLINE, 2008. http://etd.lib.umt.edu/theses/available/etd-12162008-160418/.
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Hudson, Dunn Allisyn. "Land Surface Phenology of North American Mountain Environments Using the Terra Moderate Resolution Imaging Spectroradiometer." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/34149.
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Monitoring and understanding plant phenology is becoming an increasingly important way to identify and model global changes in vegetation life cycle events. Although numerous studies have used synoptically sensed data to study phenological patterns at the continental and global scale, relatively few have focused on characterizing the land surface phenology of specific ecosystems. Mountain environments provide excellent examples of how variations in topography, elevation, solar radiation, temperature, and spatial location affect vegetation phenology. High elevation biomes cover twenty percent of the Earthâ s land surface and provide essential resources to both the human and non-human population. These areas experience limited resource availability for plant growth, development, and reproduction, and are one of the first ecosystems to reflect the harmful impact of climate change. Despite this, the phenology of mountain ecosystems has historically been understudied due to the rough and variable terrain and inaccessibility of the area. Here, we use two MODIS/Terra satellite 16-day products, Vegetation Index and Nadir BRDF Adjusted Reflectance, to assess start of season (SOS) for the 2007 calendar year. Independent data for elevation, slope, aspect, solar radiation, and temperature as well as longitude and latitude were then related to the SOS output. Based on the results of these analyses, we found that SOS can be predicted with a significant R² (0.55-0.64) for each individual zone as well as the entire western mountain range. While both elevation and latitude have significant influences on the timing of SOS for all six study areas. When examined at the regional scale and accounting for aspect, SOS follows closely with Hopkinsâ findings in regard to both elevation and latitude.Master of Science
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Théorêt, Xavier. "AEROSTAR : development of a new stellar spectroradiometer for the monitoring and characterisation of nighttime aerosols." Sherbrooke : Université de Sherbrooke, 2003.
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Rojas, Francisco. "Modulation transfer function analysis of the moderate resolution imaging spectroradiometer (MODIS) on the TERRA satellite." Diss., The University of Arizona, 2002. http://hdl.handle.net/10150/280247.
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The Modulation Transfer Function (MTF) is a standard measure of imaging systems performance. This work addresses determination of the MTF for the Moderate Resolution Imaging Spectroradiometer (MODIS) Earth remote sensing system on NASA's TERRA satellite. Reliable characterization of the MODIS MTF requires using as many sources of information as possible for evaluation. In this research a model, pre-launch and on-orbit measurements are used to develop a consistent characterization of the MTF. The on-orbit characterization is implemented using two approaches. The first is cross-track temporal monitoring using data derived from the SpectroRadiometric Calibration Assembly (SRCA). The second is using a two-image approach in which the reference is Landsat-7 Enhanced Thematic Mapper (ETM+) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). This characterization of the MTF is used to evaluate the effect on science products, the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI), and includes partial MTF correction (MTFc) as a way to improve the accuracy. This work has produced the following significant results: (1) A model for the pre-launch MODIS MTF. (2) Automatic image registration using the geolocation data. (3) Cross-track on-orbit MTF are comparable to the pre-launch MTF for bands 1, 2, 6 and 29. (4) In-track on-orbit MTF indicate that it is lower for bands 1 and 2 (in most cases), and comparable for bands 6 and 29, in reference to the pre-launch MTF.
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Abuelgasim, Abdelgadir A. M. "The applications of neural network in mapping, modeling and change detection using remotely sensed data." Thesis, Boston University, 1996. https://hdl.handle.net/2144/22549.
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Thesis (Ph.D.)--Boston UniversityAdvances in remote sensing and associated capabilities are expected to proceed in a number of ways in the era of the Earth Observing System (EOS). More complex multitemporal, multi-source data sets will become available, requiring more sophisticated analysis methods. This research explores the applications of artificial neural networks in land-cover mapping, forward and inverse canopy modeling and change detection. For land-cover mapping a multi-layer feed-forward neural network produced 89% classification accuracy using a single band of multi-angle data from the Advanced Solidstate Array Spectroradiometer (ASAS). The principal results include the following: directional radiance measurements contain much useful information for discrimination among land-cover classes; the combination of multi-angle and multi-spectral data improves the overall classification accuracy compared with a single multi-angle band; and neural networks can successfully learn class discrimination from directional data or multi-domain data. Forward canopy modeling shows that a multi-layer feed-forward neural network is able to predict the bidirectional reflectance distribution function (BRDF) of different canopy sites with 90% accuracy. Analysis of the signal captured by the network indicates that the canopy structural parameters, and illumination and viewing geometry, are essential for predicting the BRDF of vegetated surfaces. The inverse neural network model shows that the R2 between the network-predicted canopy parameters and the actual canopy parameters is 0.85 for canopy density and 0.75 for both the crown shape and the height parameters. [TRUNCATED]
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Hilker, Thomas. "Estimation of photosynthetic light-use efficience from automated multi-angular spectroradiometer measurements of coastal Douglas-fir." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2685.
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Global modeling of gross primary production (GPP) is a critical component of climate change research. On local scales, GPP can be assessed from measuring CO₂ exchange above the plant canopy using tower-based eddy covariance (EC) systems. The limited footprint inherent to this method however, restricts observations to relatively few discrete areas making continuous predictions of global CO₂ fluxes difficult. Recently, the advent of high resolution optical remote sensing devices has offered new possibilities to address some of the scaling issues related to GPP using remote sensing. One key component for inferring GPP spectrally is the efficiency (ε) with which plants can use absorbed photosynthetically active radiation to produce biomass. While recent years have seen progress in measuring ε using the photochemical reflectance index (PRI), little is known about the temporal and spatial requirements for up-scaling these findings continuously throughout the landscape. Satellite observations of canopy reflectance are subject to view and illumination effects induced by the bi-directional reflectance distribution function(BRDF) which can confound the desired PRI signal. Further uncertainties include dependencies of PRI on canopy structure, understorey, species composition and leaf pigment concentration. The objective of this research was to investigate the effects of these factors on PRI to facilitate the modeling of GPP in a continuous fashion. Canopy spectra were sampled over a one-year period using an automated tower-based, multi-angular spectroradiometer platform (AMSPEC), designed to sample high spectral resolution data. The wide range of illumination and viewing geometries seen by the instrument permitted comprehensive modeling of the BRDF. Isolation of physiologically induced changes in PRI yielded a high correlation (r²=0.82, p<0.05) to EC-measured ε, thereby demonstrating the capability of PRI to model ε throughout the year. The results were extrapolated to the landscape scale using airborne laser-scanning (light detection and ranging, LiDAR) and high correlations were found between remotely-sensed and EC-measured GPP (r²>0.79, p<0.05). Permanently established tower-based canopy reflectance measurements are helpful for ongoing research aimed at up-scaling ε to landscape and global scales and facilitate a better understanding of physiological cycles of vegetation and serve as a calibration tool for broader band satellite observations.
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BISHT, GAUTAM. "ESTIMATION OF NET RADIATION USING MODIS (MODERATE RESOLUTION IMAGING SPECTRORADIOMETER) TERRA DATA FOR CLEAR SKY DAYS." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1092762401.
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Abbas, Mohd Manzar. "Developing Ocean Color Algorithm using Moderate Resolution Imaging Spectroradiometer (MODIS) Sensor for Shallow Coastal Water Bodies." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3733.
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This study analyses the spatial and temporal variability of chlorophyll-a in Chesapeake Bay; assesses the performance of Ocean Color 3M (OC3M) algorithm; and develops a novel algorithm to estimate chlorophyll-a for coastal shallow water. The OC3M algorithm yields an accurate estimate of chlorophyll-a concentration for deep ocean water (RMSE=0.016), but it failed to perform well in the coastal water system (RMSE=23.17) of Chesapeake Bay. A novel algorithm was developed which utilizes green and red bands of the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. The novel algorithm derived the chlorophyll-a concentration more accurately in Chesapeake Bay (RMSE=4.20) than the OC3M algorithm. The study indicated that the algorithm that uses red bands could improve the satellite estimation of chlorophyll-a in the coastal water system by reducing the noise associated with bottom reflectance and colored dissolved organic matter (CDOM)
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Wang, Zhuosen. "The moderate-resolution imaging spectroradiometer (MODIS) reflectance anisotropy and albedo of dormant and snow-covered canopies." Thesis, Boston University, 2011. https://hdl.handle.net/2144/38112.
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Thesis (Ph.D.)--Boston UniversityPLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.
Data from NASA's MODerate Resolution Imaging Spectroradiometer (MODIS), in polar orbit on the Terra and Aqua platforms, have provided surface bidirectional reflectance distribution function (BRDF) and albedo products (MCD43) that have been successfully validated during the growing seasons of various vegetated land surface types. This research, however, focuses on the quality of MODIS BRDF/albedo product retrievals during the more difficult periods of vegetation dormancy and snow cover by comparison with ground-based albedo measurements. Cropland, grassland, deciduous and conifer forest, and high latitude tundra (including recently burned) sites are considered. Low illumination angles and persistent cloudiness, as well as lower-quality atmospheric correction and cloud discrimination, limit the number of high quality retrievals that are obtained during snow-covered periods. Forest retrievals are challenging as underlying snow may be obscured by foliage or canopy shadows at high viewing and illumination angles. Neither satellite albedo retrievals nor ground measurements are considered reliable at solar zenith angles greater than 70°, which further complicates retrievals at high latitude locations. Moreover, changes due to snowfall or snowmelt can alter the albedo of a location significantly over a very short timescale. Therefore, the standard 500-m gridded BRDF/albedo products are also compared with results from both the MODIS daily Direct Broadcast BRDF/Albedo algorithm and the standard MOD10A daily snow albedo product. Using an integrated validation strategy, analyses of the representativeness of the surface heterogeneity under both dormant and snow-covered situations are performed to decide whether direct comparisons between ground measurements and 500-m satellite observations can be made or whether finer spatial resolution airborne or spaceborne data are required to scale the results at each location. Landsat ETM+ data are used to generate finer scale representations of albedo at each location to fully link ground data with satellite data. Results show that high quality MCD43 products do achieve a high accuracy during both dormant and snow-covered periods as compared to either spatially representative field data or field data that have been scaled up with Landsat imagery. However, a daily retrieval strategy is necessary to capture ephemeral snow events or rapidly changing situations such as the spring snow melt.
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Abuelgasim, Abdelgadir A. M. "Modelling bidirectional radiance measurements collected by the advanced solid-state array spectroradiometer over Oregon transect conifer forests." Thesis, Boston University, 1986. https://hdl.handle.net/2144/22548.
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Thesis (M.A.)--Boston UniversityThe primary objective of this research is to test and validate a geometric-optical bidirectional reflectance canopy model developed by Li and Strahler, with respect to actual forest canopy reflectance measurments. This model treats forest canopies as scenes of discrete, three dimensional objects that are illuminated and viewed from different positions in the hemisphere. The shapes of the objects, their count densities and patterns of placement are the driving variables, and they condition the mixture of sunlit and shaded objects and background that is observed from a particular viewing direction, given a direction of illumination. This mixture, in turn, controls the brightness apparent to an observer or a radiometric instrument. The Advanced Solid-State Array Spectroradiometer (ASAS) is chosen to be the sensor having the ability of collecting measurements at various look angles and its imaged reflectance was used to validate the model. The modelled BRF's were compared to actual ASAS measured BRF's in sites with different canopy structures and densities. The comparision revealed execellent match between the modelled and measured reflectance, and great ability of the model in predicting the shape and magnitude of the BRDF, in almost all the sites investigated. It is concluded that the geometric optics approach provided a good way to model the bidirectional reflectance distribution function of natural vegetation canopies, that captures the most important features exhibited by bidirectional measurements of such canopies. Further modifications have been suggested that will improve the predicted BRF's, and yield better results. [TRUNCATED]
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Bisht, Gautam. "Estimation of the net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) Terra Data for clear sky days." Cincinnati, Ohio : University of Cincinnati, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=ucin1092762401.
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Riechelmann, Stefan [Verfasser]. "Simultaneous measurement of spectral sky radiance : development, characterization and validation of a non-scanning multidirectional spectroradiometer (MUDIS) / Stefan Riechelmann." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover (TIB), 2014. http://d-nb.info/106300571X/34.
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Vicari, Matheus Boni. "Estimativas de variáveis biofísicas da canola com dados espectrais multisensor." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/129675.
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Esse trabalho utilizou sensores remotos, em escala local e regional, para caracterizar o padrão espectral da canola e propor metodologias de criação de máscaras de cultivo, através da classificação de imagens de satélite, e de geração de estimativas de variáveis biofísicas, a partir de índices de vegetação medidos ao longo do ciclo. As medições das variáveis biofísicas foram realizadas em parcelas experimentais, na Embrapa-Trigo no município de Coxilha, e em lavouras monitoradas nas mesorregiões Nordeste e Noroeste do Rio Grande do Sul, para as safras 2013 e 2014. As variáveis biofísicas medidas foram altura de plantas, matéria seca das folhas, da haste e das síliquas e, também, foi estimado o índice de área foliar. Os dados espectrais para as parcelas experimentais foram obtidos através de um espectrorradiômetro. Para as lavouras monitoradas, os dados espectrais foram obtidos dos produtos MCD43B4 e MOD09A1, medidos pelo sensor MODIS (satélites Terra/Aqua), e de imagens do sensor OLI (satélite Landsat 8). A partir destes foi realizada a caracterização espectral da canola ao longo do seu ciclo de desenvolvimento, gerando perfis completos e perfis das bandas espectrais. Os índices de vegetação foram utilizados para caracterizar o padrão espectral e para a criação de modelos de estimativas das variáveis biofísicas, os quais foram calculados usando as bandas espectrais simuladas. Os índices de vegetação foram utilizados para classificar as áreas cultivadas com canola para as mesorregiões Nordeste e Noroeste do Rio Grande do Sul e, posteriormente, aplicados os modelos de estimativas de variáveis biofísicas. A caracterização do padrão espectral da canola foi consistente entre os dois anos avaliados e para todos os sensores, com variação temporal semelhante a outras culturas agrícolas, exceto pela redução nos índices de vegetação durante a floração da cultura. Os modelos de estimativa das variáveis biofísicas, apresentaram coeficientes de determinação elevados, com exceção das variáveis matéria seca das folhas e índice de área foliar. A classificação da área cultivada com canola, utilizando os produtos MODIS, apresentou resultados coerentes com o esperado de acordo com dados de série histórica, apresentados pela CONAB. As estimativas de variáveis biofísicas mostraram coerência com os obtidos pelas medições nas lavouras monitoradas. Os resultados obtidos nesse estudo demonstram, portanto, o potencial da utilização de dados espectrais multisensor para o mapeamento de lavouras e realização de estimativas de variáveis biofísicas da cultura da canola.This study used remote sensors, at local and regional levels, in order to characterize the spectral pattern of canola and propose methodologies to create crop masks, through satellite image classification, and generation of estimates of biophysical variables, from vegetation indices measured along the cycle. The measurements of biophysical variables were performed on experimental plots at Embrapa Trigo in Coxilha, and in crop sites monitored in the mesoregions Northeast and Northwest of Rio Grande do Sul, in 2013 and 2014. The biophysical variables measured were plant height, dry matter of the leaves, stem and pods and also, the leaf area index was estimated. The spectral data for the experimental plots were obtained using a spectroradiometer. For monitored crop fields, spectral data were obtained from the products MCD43B4 and MOD09A1, measured by MODIS (Terra / Aqua satellite) sensor, and images from the OLI sensor (Landsat 8). These data were used to perform the spectral characterization of canola along its development cycle, generating full spectral profiles and spectral bands profiles. The vegetation indices were used to characterize the spectral pattern and creating models to estimate the biophysical variables, which have been calculated using the simulated spectral bands. The vegetation indices were used to classify the areas planted with canola for the mesoregions Northeast and Northwest and then applied to the models for estimates of biophysical variables. The characterization of the canola's spectral pattern was consistent between the two years and for all sensors with temporal variation similar to other agricultural crops, except for the reduction in the vegetation indices during the flowering phase of culture. The biophysical variables estimation models showed high correlation coefficients, except for the variables dry matter of leaves and leaf area index. The canola classification using MODIS products, showed results consistent with the expected according to historical data series presented by CONAB. Estimates of biophysical variables were consistent with those obtained by measurements in the monitored fields. The results of this study show, therefore, the potential of using multi-sensor data for the spectral mapping of canola the estimation of biophysical variables.
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Meyer, Jill E. "Use of a Digital Multispectral Video System and Spectroradiometer for Bottomland Hardwood Forest Remote Sensing: A Jurisdictional Boundary Accuracy Assessment and Radiance Examination." W&M ScholarWorks, 2000. https://scholarworks.wm.edu/etd/1539617758.
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Sus, Oliver. "Simulating the carbon cycling of croplands : model development, diagnosis, and regional application through data assimilation." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/6188.
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In the year 2000, croplands covered about 12% of the Earth’s ice-free land surface. Through cropland management, humankind momentarily appropriates about 25% of terrestrial ecosystem productivity. Not only are croplands a key element of human food supply, but also bear potential in increased carbon (C) uptake when best-practice land management approaches are adopted. A detailed assessment of the impact of land use on terrestrial ecosystems can be achieved by modelling, but the simulation of crop C cycling itself is a relatively new discipline. Observational data on crop net ecosystem exchange (NEE) are available only recently, and constitute an important tool for model development, diagnosis, and validation. Before crop functional types (CFT) had been introduced, however, large-scale biogeochemical models (BGCM) lacked crop-specific patterns of phenology, C allocation, and land management. As a consequence, the influence of cropland C cycling on biosphere-atmosphere C exchange seasonality and magnitude is currently poorly known. To date, no regional assessment of crop C cycling and yield formation exists that specifically accounts for spatially and temporally varying patterns of sowing dates within models. In this thesis, I present such an assessment for the first time. In the first step (chapter 2), I built a crop C mass balance model (SPAc) that models crop development and C allocation as a response to ambient meteorological conditions. I compared model outputs against C flux and stock observations of six different sites in Europe, and found a high degree of agreement between simulated and measured fluxes (R2 = 0.83). However, the model tended to overestimate leaf area index (LAI), and underestimate final yield. In a model comparison study (chapter 3), I found in cooperation with further researchers that SPAc best reproduces observed fluxes of C and water (owed to the model’s high temporal and process resolution), but is deficient due to a lack in simulating full crop rotations. I then conducted a detailed diagnosis of SPAc through the assimilation of C fluxes and biometry with the Ensemble Kalman Filter (EnKF, chapter 4), and identified potential model weaknesses in C allocation fractions and plant hydraulics. Further, an overestimation of plant respiration and seasonal leaf thickness variability were evident. Temporal parameter variability as a response to C flux data assimilation (DA) is indicative of ecosystem processes that are resolved in NEE data but are not captured by a model’s structure. Through DA, I gained important insights into model shortcomings in a quantitative way, and highlighted further needs for model improvement and future field studies. Finally, I developed a framework allowing for spatio-temporally resolved simulation of cropland C fluxes under observational constraints on land management and canopy greenness (chapter 5). MODIS (Moderate Resolution Imaging Spectroradiometer) data were assimilated both variationally (for sowing date estimation) and sequentially (for improved model state estimation, using the EnKF) into SPAc. In doing so, I was able to accurately quantify the multiannual (2000-2006) regional C flux and biometry seasonality of maize-soybean crop rotations surrounding the Bondville Ameriflux eddy covariance (EC) site, averaged over 104 pixel locations within the wider area. Results show that MODIS-derived sowing dates and the assimilation of LAI data allow for highly accurate simulations of growing season C cycling at locations for which groundtruth sowing dates are not available. Through quantification of the spatial variability in biometry, NEE, and net biome productivity (NBP), I found that regional patterns of land management are important drivers of agricultural C cycling and major sources of uncertainty if not appropriately accounted for. Observing C cycling at one single field with its individual sowing pattern is not sufficient to constrain large-scale agroecosystem behaviour. Here, I developed a framework that enables modellers to accurately simulate current (i.e. last 10 years) C cycling of major agricultural regions and their contribution to atmospheric CO2 variability. Follow-up studies can provide crucial insights into testing and validating large-scale applications of biogeochemical models.
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Weideman, Craig Ivan. "Linking satellite and point micrometeorological data to estimate : distributed evapotranspiration modelling based on MODIS LAI, Penman-Monteith and functional convergence theory." Thesis, Rhodes University, 2014. http://hdl.handle.net/10962/d1012078.
Full textAbstract:
Recent advances in satellite sensor technology and micrometeorological instrumentation for water flux measurement, coupled with the expansion of automatic weather station networks that provide routine measurements of near-surface climate variables, present new opportunities for combining satellite and ground-based instrumentation to obtain distributed estimates of vegetation water use over wide areas in South Africa. In this study, a novel approach is tested, which uses satellite leaf area index (LAI) data retrieved by the Moderate Resolution Imaging Spectroradiometer (MODIS) to inform the FAO-56 Penman-Monteith equation for calculating reference evaporation (ET₀) of vegetation phenological activity. The model (ETMODIS) was validated at four sites in three different ecosystems across the country, including semi-arid savanna near Skukuza, mixed community grassland at Bellevue, near Pietermaritzburg, and Groenkop, a mixed evergreen indigenous forest near George, to determine potential for application over wider areas of the South African land surface towards meeting water resource management objectives. At Skukuza, evaluated against 170 days of flux data measured at a permanent eddy covariance (EC) flux tower in 2007, the model (ETMODIS) predicted 194.8 mm evapotranspiration relative to 148.9 mm measured fluxes, an overestimate of 31.7 %, (r² = 0.67). At an adjacent site, evaluated against flux data measured on two discrete periods of seven and eight days in February and May of 2005 using a large aperture scintillometer (SLS), ETMODIS predicted 27.4 mm and 6.7 mm evapotranspiration respectively, relative to measured fluxes of 32.5 and 8.2 mm, underestimates of 15.7 % and 18.3 % in each case (r² = 0.67 and 0.34, respectively). At Bellevue, evaluated against 235 days of evapotranspiration data measured using a surface layer scintillometer (SLS) in 2003, ETMODIS predicted 266.9 mm evapotranspiration relative to 460.2 mm measured fluxes, an underestimate of 42 % (r² = 0.67). At Groenkop, evaluated against data measured using a SLS over three discrete periods of four, seven and seven days in February, June and September/October respectively, ETMODIS predicted 9.7 mm, 10.3 mm and 17.0 mm evapotranspiration, relative to measured fluxes of 10.9 mm, 14.6 mm and 23. 9 mm, underestimates of 22.4 %, 11.2 % and 24.1 % in each case (r² = 0.98, 0.43 and 0.80, respectively). Total measured evapotranspiration exceeded total modelled evapotranspiration in all cases, with the exception of the flux tower site at Skukuza, where evapotranspiration was overestimated by ETMODIS by 31.7 % relative to measured (EC) values for the 170 days in 2007 where corresponding modelled and measured data were available. The most significant differences in measured versus predicted data were recorded at the Skukuza flux tower site in 2007 (31.7 % overestimate), and the Bellevue SLS flux site in 2003 (42 % underestimate); coefficients of determination, a measure of the extent to which modelled data are able to explain observed data at validation periods, with just two exceptions, were within a range of 0.67 – 0.98. Several sources of error and uncertainty were identified, relating predominantly to uncertainties in measured flux data used to evaluate ETMODIS, uncertainties in MODIS LAI submitted to ETMODIS, and uncertainties in ETMODIS itself, including model assumptions, and specific uncertainties relating to various inputs; further application of the model is required to test these uncertainties however, and establish confidence limits in performance. Nevertheless, the results of this study suggest that the technique is generally able to produce estimates of vegetation water use to within reasonably close approximations of measurements acquired using micrometeorological instruments, with r² values within the range of other peer-reviewed satellite remote sensing-based approaches.
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Hachem, Sonia. "Cartographie des températures de surface, des indices de gel et de dégel et de la répartition spatiale du pergélisol à l'aide du Moderate Resolution Imaging Spectroradiometer (MODIS)." Thesis, Université Laval, 2008. http://www.theses.ulaval.ca/2008/25601/25601.pdf.
Full textAbstract:
A partir de températures de surface mesurées sur une base régulière et répétitive par des capteurs embarqués sur des satellites, il a été décidé de produire des cartes de températures de surface, d’indices de gel et de dégel et de limites de répartition du pergélisol sur les territoires arctiques et subarctiques. Le territoire cartographié est le territoire du Québec-Labrador. Les températures mesurées par satellite ont été comparées avec les températures de différentes stations situées en région de pergélisol continu, en Alaska et au Québec (chapitre 1). Les coefficients de corrélations sur l’ensemble des stations entre les températures de l’air et les « Land Surface Temperatures » (LST) du capteur MODIS des satellites Aqua et Terra sont tous supérieurs à 0.80. Ces mesures ont donc un extraordinaire potentiel pour déterminer les températures de surface sur le vaste territoire nordique où les stations de mesures sont très dispersées dans l’espace. Comme le territoire couvert par les satellites est de 2300 km à chaque passage (ils passent deux fois par jour), la possibilité de couvrir des étendues régionales à peu de frais est immense. Cependant, les régions arctiques connaissent un ennuagement assez important et les données satellitaires ne sont pas continues sur l’année. Leur nombre est tout de même suffisant pour établir une interpolation temporelle sur chaque pixel. Au chapitre 2, il est montré que le modèle mathématique utilisé permet de calculer les températures moyennes annuelles et les indices de gel à partir des LST très bien corrélées, et les indices de dégel corrélés de façon satisfaisante avec ceux calculés aux stations. A partir de ces comparaisons entre les pixels et les stations présentes dans un pixel, les cartes ont été produites. L’analyse de ces cartes, moyenne annuelle, indice de gel et de dégel montre des similitudes dans les régions où les données existent mais surtout établissent une représentation originale sur les parties de territoire où aucune station de mesures n’existe et apportent un élément nouveau à la compréhension du climat du Québec-Labrador. Au chapitre 3, les indices habituels qui servent à délimiter le pergélisol sur des échelles régionales sont appliqués à ce territoire. Là encore, il est démontré que la limite sud du pergélisol continu ainsi dessinée est comparable à celle des cartes existantes. Toutefois, mesurées entre 2000 et 2005, les conditions thermiques propres à cette limite ont récemment migré vers le nord. Le modèle mis au point dans cette thèse est une avancée exceptionnelle pour la cartographie du pergélisol.From near surface temperatures measured by sensors onboard satellites, at a regular and repeated time, it has been decided to produce near surface temperature, freezing and thawing indices maps and permafrost distribution boundaries in Arctic and Subarctic regions. The mapped area is the Quebec-Labrador territory. Land Surface Temperatures (LST) retrieved from the MODIS sensor on Aqua and Terra satellites were compared as well as possible with soil and air temperatures of several stations over continuous permafrost within different tundra landscapes, in the North Slope of Alaska and Northern Quebec and Labrador (chapter 1). Correlations values (R²) established between near surface air temperatures (Tair) on all ground stations and LST from the MODIS sensor are above 0.80. This proves that LST data have a high potential to be used as regional complement of temperatures from meteorological stations. As the Terra and Aqua swath is 2300 km wide, each overpass (twice a day for both satellites), makes it possible to map vast areas at low cost. However, Arctic areas are often cloudy which results in discontinuous satellite data. The number of non-cloudy days is large enough to necessitate the calculation of a temporal interpolation between days and for each pixel. Then, in chapter 2, a mathematic model produces excellent correlations between LSTs and Tair, mean annual near surface temperatures and freezing index; correlations with thawing indices are barely satisfactory. From these correlations between pixels and ground stations, data maps are drawn. An analysis of mean annual near surface temperature, freezing and thawing indices maps shows similarities in areas where data are well known and provides some new understanding of the surface climate of Quebec-Labrador. In chapter 3, usual indices such as isotherms, which are of used to define permafrost boundaries on regional scales, are applied on this territory. Here, again, the southern limit of continuous permafrost as drawn is comparable to other existing maps. Surface thermal conditions conducive to permafrost recently migrated northward. Our model therefore offers advanced capabilities for permafrost mapping and monitoring.
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Shi, Gensheng. "Investigating cottonwood leaf beetle, Chrysomela scripta F., defoliation in cottonwood plantations utilizing remote sensing and geostatistical techniques." Diss., Mississippi State : Mississippi State University, 2003. http://library.msstate.edu/etd/show.asp?etd=etd-12012003-163209.
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Liu, Zhao. "Exploration and application of MISR high resolution Rahman Pinty-Verstraete time series." Thesis, Cape Peninsula University of Technology, 2017. http://hdl.handle.net/20.500.11838/2711.
Full textAbstract:
Thesis (Doctor of Engineering in Electrical Engineering)--Cape Peninsula University of Technology, 2017.Remote sensing provides a way of frequently observing broad land surfaces. The availability of various earth observation data and their potential exploitation in a wide range of socioeconomic applications stimulated the rapid development of remote sensing technology. Much of the research and most of the publications dealing with remote sensing in the solar spectral domain focus on analysing and interpreting the spectral, spatial and temporal signatures of the observed areas. However, the angular signatures of the reflectance field, known as surface anisotropy, also merit attention. The current research took an exploratory approach to the land surface anisotropy described by the RPV model parameters derived from the MISR-HR processing system (denoted as MISR-HR anisotropy data or MISR-HR RPV data), over a period of 14+ years, for three typical terrestrial surfaces in the Western Cape Province of South Africa: a semi-desert area, a wheat field and a vineyard area. The objectives of this study were to explore (1) to what extent spectral and directional signatures of the MISR-HR RPV data may vary in time and space over the different targets (landscapes), and (2) whether the observed variations in anisotropy might be useful in classifying different land surfaces or as a supplementary method to the traditional land cover classification method. The objectives were achieved by exploring the statistics of the MISR-HR RPV data in each spectral band over the different land surfaces, as well as seasonality and trend in these data. The MISR-HR RPV products were affected by outliers and missing values, both of which influenced the statistics, seasonality and trend of the examined time series. This research proposes a new outlier detection method, based on the cost function derived from the RPV model inversion process. Removed outliers and missing values leave gaps in a MISR-HR RPV time series; to avoid introducing extra biases in the statistics of the anisotropy data, this research kept the gaps and relied on gap-resilient trend and seasonality detection methods, such as the Mann-Kendal trend detection and Lomb-Scargle periodogram methods. The exploration of the statistics of the anisotropy data showed that RPV parameter rho exhibited distinctive over the different study sites; NIR band parameter k exhibits prominent high values for the vineyard area; red band parameter Theta data are not that distinctive over different study sites; variance is important in describing all three RPV parameters. The explorations on trends also demonstrated interesting findings: the downward trend in green band parameter rho data for the semi-desert and vineyard areas; and the upward trend in blue band parameters k and Theta data for all the three study sites. The investigation on seasonality showed that all the RPV parameters had seasonal variations which differed over spectral bands and land covers; the results confirmed expectations in previous literature that parameter varies regularly along the observation time, and also revealed seasonal variations in the parameter rho and Theta data. The explorations on the statistics and seasonality of the MISR-HR anisotropy data show that these data are potentially useful for classifying different landscapes. Finally, the classification results demonstrated that both red band parameter rho data and NIR band parameter k data could successfully separate the three different land surfaces in this research, which fulfilled the second primary objective of this study. This research also demonstrated a classification method using multiple RPV parameters as the classification signatures to discriminate different terrestrial surfaces; significant separation results were obtained by this method.
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Silva, Ariadiny Monteiro da 1984. "Caracterização espectral das folhas úmidas e secas, da cana-se-açúcar, com ênfase nos componentes lignina, celulose e hemicelulose." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/256824.
Full textAbstract:
Orientadores: Rubens Augusto Camargo Lamparelli, Jansle Vieira RochaDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Agrícola
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Resumo: A palha é um dos principais subprodutos gerado no final do ciclo vegetativo da cana-deaçúcar. Ela tem um significado importante no contexto brasileiro dado que a partir dela podese gerar álcool e energia limpa, beneficiando o meio ambiente e a matriz energética. Assim é imprescindível aprofundar os estudos em torno da palha da cana e estimar a quantidade de resíduos produzidos ao final da colheita com o intuito de otimizar o processo de reaproveitamento desta. A lignina, celulose e hemicelulose, presentes na palha em grandes quantidades, são responsáveis pela estrutura fibrosa da cana-de-açúcar e é a partir deles que são dimensionados os processos de geração de energia (álcool e eletricidade). Neste contexto este trabalho teve o objetivo de utilizar o sensoriamento remoto para identificar estes componentes na cana-de-açúcar para subsidiar futuros levantamentos de estimativa de palha para fins energéticos e ambientais. Foram caracterizadas espectralmente 384 amostras de folhas de cana-de-açúcar, nas condições úmidas e secas, utilizando o espectroradiômetro FieldSpec Pro* com o intuito de identificar possíveis feições de absorções associadas aos componentes lignina, celulose e hemicelulose. Verificou-se que houve melhor discriminação das feições de absorção nas folhas secas, sendo que estas apresentaram valores de CAI e LCA superiores às folhas úmidas, pois 100% das amostras secas apresentaram valores de CAI positivos. O CAI foi o melhor estimador dos componentes se comparado ao LCA. As correlações entre CAI, LCA e NDVI permitiram a segregação/distinção entre as folhas nas condições úmidas e secas. E o CAI das palhas foi significativamente maior que o CAI do restante das folhas. Os resultados mostraram que nas feições visíveis próximo a 1730, 1780, 2100, 2270 e 2330 nm foram encontradas feições ligadas à lignina, hemicelulose e celulose e este estudo estudo permite concluir que as ferramentas do sensoriamento remoto podem ajudar como indicador de teores de lignina e celulose utilizando-se de índices de vegetação apropriados a estas finalidades, neste caso LCA e CAI, à luz dos novos programas espaciais de sensoriamento remoto hiperespectrais
Abstract: The straw is one of the main by-products generated at the end of the sugarcane vegetative cycle. It is significantly important in the Brazilian context, as alcohol and clean energy can be generated, thus benefiting the environment and the energy matrix. It is therefore essential to deepen the studies on the sugarcane straw and to estimate the amount of waste produced at the end of the harvest, in order to optimize its reuse process. Lignin, cellulose and hemicelluloses, present in the straw in large quantities, are responsible for the sugarcane fibrous structure; they enable to dimension the processes of energy generation (alcohol and electricity). The paper aimed to use remote sensing to identify these components in sugarcane in order to give support to future surveys on the use of straw for energy and environmental purposes. 384 samples of sugarcane leaf were characterized spectrally, in both wet and dry conditions, with the use of FieldSpec Pro* spectroradiometer, so as to identify possible absorption features associated with lignin, cellulose and hemicelluloses. There was better discrimination of the absorption features in the dried leaves, which showed higher values of LCA and CAI than the wet leaves, as 100% of the dried samples showed positive values of CAI. CAI was the best estimator of the components when compared to LCA. The correlations between CAI, LCA and NDVI allowed the segregation / distinction between the leaves in wet and dry conditions. The CAI of the straw was significantly higher than the CAI of the other leaves. The results showed that the visible features near 1730, 1780, 2100, 2270 and 2330 nm were found features linked to lignin, hemicellulose and cellulose and this study shows that remote sensing tools can help as an indicator of lignin and cellulose using vegetation index appropriate for these purposes, in which case LCA and CAI, the light of new space programs of hyperspectral remote sensing
Mestrado
Planejamento e Desenvolvimento Rural Sustentável
Mestra em Engenharia Agrícola
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Torfgård, Olof. "Short wavelength UV–LED photoinitiated radical polymerization of acrylate–based coating systems—A comparison with conventional UV curing." Thesis, Uppsala universitet, Strukturkemi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-442431.
Full textAbstract:
The present work was performed at Sherwin–Williams Sweden group AB with the objective of comparing short-wavelength light emitting diodes (UVB/UVC) with the conventional mercury arc lamp as a curing method of acrylate-based, UV-paint undergoing free-radical polymerization when exposed to UV-radiation. Due to environmental and health risks, mercury-doped radiation sources will be phased out in the near future, according to the United Nations Minamata convention, hence new alternatives are needed. Light-emitting diodes differ from the mercury arc lamp as they provide semi-discrete output intensity lines within the UV spectrum instead of a broad output distribution with several main intensity lines. The power output is also considerably lower compared to the conventional method which limits the irradiance and dose that are key parameters in activating and propagating free-radical polymerization of UV-paint. Seven different light-emitting diodes between 260–320 nm was examinedand compared to the conventional mercury arc lamp. Cured coatings were evaluated by measuring the relative extent of acrylate conversion with ATR-FTIR and micro-hardness indentation test. Both methods correlate to the relative cross-linking density and qualitatively describe the curing process for each radiant source at a specific irradiance and dose. Three different paint formulations with widely different properties were used in the experiments. All three paints were able to cure with one or several light emitting diodes at comparable doses and 10 to 20 times lower irradiance to the conventional mercury arc lamp, resulting in similar acrylate conversion and hardness.
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Dufbäck, Emma. "Nitrogen Uptake by Vegetation in the Wakkerstroom Wetland, South Africa." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-389981.
Full textAbstract:
The lack of proper wastewater treatment inhibits the social and economic development in many communities. The South African town Wakkerstroom is an example where wastewater is first treated before it is released. Due to the lack of technical expertise and funding to manage the sewage disposal system, a large part of the wastewater goes directly, without any treatment, into a stream feeding the Wakkerstroom wetland. The wetland purifies the wastewater and provides clean water downstream, thus is indispensable for its detoxification capacity. One relatively cheap method to determine the absorption capacity of a wetland with respect to nitrogen loading is to investigate the nitrogen uptake by the wetland vegetation. In this study, the nitrogen uptake of the vegetation in the Wakkerstroom wetland during the growing seasons between the years 2000-2018 was investigated by using harvested biomass and its nitrogen content as a proxy. The interannual variability of Net Primary Production (NPP) was calculated using a Light Use Efficiency (LUE) model for the period 2000-2018. The NPP derived with LUE-modelling was compared to NPP based on an end-of season harvest of biomass in March 2019. The nitrogen content and carbon and nitrogen (C:N) ratio were determined in the harvested biomass by carbon and nitrogen content analysis. The annual nitrogen uptake of the growing seasons between the years 2000-2018 was subsequently determined by multiplying the calculated NPP by the fraction of nitrogen found in the harvested material. The NPPtot based on harvested biomass (NPPharvest) towards the end of the growing season 2018/2019 was estimated to be 2.01 kg‧m-2‧season-1. The NPPtot calculated from LUE modelling (NPPLUE) varied between 0.49-1.64 kg‧m-2 for the growing seasons between 2000-2018. NPPharvest was between 1.2-4 times higher compared to NPPLUE, probably due to overestimation of NPPharvest because of biomass sampling of more than one-year production, or underestimation of NPPLUE due to a low maximum radiation conversion efficiency factor, εmax. The community mean nitrogen (N) content found in the biomass harvested aboveground was 1.29 % for the Phragmites community and 1.00 % for the Typha community. The nitrogen uptake of the vegetation was estimated to vary between 6.10-20.5 g N∙m-2 per growing season between the years 2000-2018.Bristen på adekvata reningstekniker för att behandla avloppsvatten hämmar den sociala och ekonomiska utvecklingen i många samhällen. Den sydafrikanska staden Wakkerstroom är ett exempel där avloppsvatten först renas innan det släpps ut. På grund av brisen på teknisk kompetens och finansiering att hantera reningsverket som avlägsnar avloppsvatten så läcker en stor del av det orenade avloppsvattnet ut i en våtmark i Wakkerstroom via en närliggande å. Våtmarken är av regional betydelse för sin reningskapacitet då den renar avloppsvattnet och förser användare nedströms med rent vatten. En viktig aspekt för att bestämma en våtmarks reningskapacitet med avseende på kväve (N) är att undersöka växternas kväveupptag i våtmarken. Kväveupptaget hos växterna i våtmarken i Wakkerstroom under växtsäsongerna mellan år 2000–2018 undersöktes genom att använda skördad biomassa och dess kväveinnehåll som proxy. Den årliga variabiliteten hos nettoprimärproduktionen (NPP) beräknades genom att använda en LUE (Light Use Efficiency)-modell för perioden 2000-2018. NPP framtaget med LUE-modellering jämfördes med NPP baserat på biomassa skördad i slutet av växtsäsongen i mars 2019. Kväveinnehållet och kol-kväve (C:N) kvoten bestämdes hos den skördade biomassan genom en kol- och kväveanalys. Det årliga kväveupptaget under växtsäsongerna mellan 2000–2018 togs därefter fram genom att multiplicera beräknad NPP med kvävefraktionen erhållen från den skördade biomassan. NPPtot framtaget med biomassa skördad i slutet av växtsäsongen 2018/2019 (NPPbiomassa) uppskattades vara 2,01 kg‧m-2‧säsong-1. NPPtot beräknat med LUE-modellering (NPPLUE) varierade mellan 0,49–1,64 kg‧m-2 under växtsäsongerna mellan år 2000–2018. NPPbiomassa var 1,2–4 gånger högre i jämförelse med NPPLUE, vilket troligtvis berodde på att NPPbiomassa överskattades på grund av att mer än en årsproduktion av biomassa skördades, eller för att NPPLUE underskattades på grund av ett för lågt värde på den maximala effektivitetsfaktorn εmax valdes. Medelvärdet för kväveinnehållet erhållen i biomassan skördad ovanför vattennivån var 1,29 % för Phragmites-samhället och 1,00 % för Typha-samhället. Kväveupptaget hos växterna varierade mellan 6,10–20,5 g N∙m-2 per växtsäsong mellan år 2000–2018.
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Tatsiankou, Viktar. "Instrumentation Development for Site-Specific Prediction of Spectral Effects on Concentrated Photovoltaic System Performance." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31222.
Full textAbstract:
The description of a novel device to measure the spectral direct normal irradiance is presented. The solar spectral irradiance meter (SSIM) was designed at the University of Ottawa
as a cost-effective alternative to a prohibitively expensive field spectroradiometer (FSR). The latter measures highly-varying and location-dependent solar spectrum, which is essential for accurate characterization of a concentrating photovoltaic system’s performance. The SSIM measures solar spectral irradiance in several narrow wavelength bands with a combination of photodiodes with integrated interference filters. This device performs spectral measurements at a fraction of the cost of a FSR, but additional post-processing is required to deduce the
solar spectrum. The model was developed to take the SSIM’s inputs and reconstruct the
solar spectrum in 280–4000 nm range. It resolves major atmospheric processes, such as air mass changes, Rayleigh scattering, aerosol extinction, ozone and water vapour absorptions.
The SSIM was installed at the University of Ottawa’s CPV testing facility in September,
2013. The device gathered six months of data from October, 2013 to March, 2014.
The mean difference between the SSIM and the Eppley pyrheliometer was within ±1.5%
for cloudless periods in October, 2013. However, interference filter degradation and condensation negatively affected the performance of the SSIM. Future design changes will improve the longterm reliability of the next generation SSIMs.
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Magadzire, Nyasha. "Reconstruction of a fire regime using MODIS burned area data : Charara Safari Area, Zimbabwe." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/80042.
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Thesis (MSc)--Stellenbosch University, 2013.ENGLISH ABSTRACT: Current efforts to address Zimbabwe‘s decade long veld fire crisis has partly been hindered by a lack of financial resources and fire data. This study illustrates the potential of using the MODIS burned area product as an alternative cost- and time-effective method for reconstructing historical fire records in Zimbabwe. Two MODIS burned area products were evaluated, namely the MCD45A1 and WAMIS (Meraka Institute‘s MODIS burned area product). Both products yielded similar levels of accuracy despite the difference in algorithms. However, it is assumed that at certain thresholds, either in tree cover or fire intensity, WAMIS ceases to map fires as accurately as the MCD45A1. Ten years of fire data for Charara Safari Area (CSA) was extracted from the MCD45A1, and used as a basis to establish six parameters: fire incidence, extent, seasonality, fire size, frequency and fire return interval (FRI). It was observed that approximately 50% of CSA burned annually, with an average of 132 fires occurring every year. Although there was no overall increase or decrease in the extent of area burned over the 10 year study period, an increasing trend in fire incidence was noted. Through an assessment of effective fire size, it was established that more fires in CSA were gradually becoming smaller in size, while the extent of area burned remained fairly constant. Hence, the increase in fire incidences and lack of a corresponding increase in area burned. This study was also used to identify areas in the fire regime that may be a potential ecological risk to the miombo woodland in CSA. Three points of concern were revealed: firstly, a high prevalence of late season fires was observed in the northern bounds of CSA. Secondly, 64.2% of the total area burned in CSA burned between 6 and 10 times over the 10 year period, and lastly, 85% of the total area burned over the period 2001 and 2010 had a FRI of less than 2 years. The combination of late season fires, high fire frequency and short FRI in CSA is indicative of possible alterations in the state of the miombo woodlands, which may have negative socio-economic implications on CSA and its surrounding communities. This study has demonstrated that the MCD45A1 is a useful source of much needed fire information for Zimbabwe. Therefore, the possibility of integrating methods employed in this study into the current collection of fire data should be given due consideration.
AFRIKAANSE OPSOMMING: Huidige pogings om Zimbabwe se dekade lank veldbrand krisis aan te spreek is gedeeltelik belemmer deur 'n gebrek aan finansiële hulpbronne en vuurdata. Hierdie studie illustreer die potensiaal van die gebruik van die MODIS verbrande area produk as 'n alternatiewe koste-en tyd-effektiewe metode vir die rekonstruksie van historiese vuurrekords in Zimbabwe. Twee MODIS verbrande area produkte is geëvalueer, naamlik die MCD45A1 en WAMIS (Meraka Instituut se MODIS verbrand area produk). Beide produkte het soortgelyke vlakke van akkuraatheid opgelewer ten spyte van die verskil in die algoritmes. Dit word egter aanvaar dat op sekere drempels, óf in die boom bedekking, of brandintensiteit, WAMIS brande minder akkuraat karteer as die MCD45A1 produk. Tien jaar van vuurdata vir Charara Safari Area (CSA) is uit die MCD45A1 data onttrek, en gebruik as 'n basis om ses parameters vas te stel: vuurvoorkoms, omvang, seisoenaliteit, vuurgrootte, frekwensie en tyd tussen die terugkeer van vuur na ‗n spesifieke plek (nl. FRI). Dit is waargeneem dat ongeveer 50% van die CSA jaarliks gebrand word, met 'n gemiddeld van 132 brande wat elke jaar voorkom. Daar was nie 'n algehele toename of afname in die omvang van die totale verbrande area oor die 10 jaar studietydperk nie. Maar 'n toenemende neiging in die vuurvoorkoms was wel opgemerk. Deur middel van 'n assessering van effektiewe vuurgrootte, is daar vasgestel dat meer kleiner brande in CSA voorkom, terwyl die omvang van die verbrand area redelik konstant gebly het. Dus was daar ‗n toename in die aantal vuurvoorvalle al was daar nie 'n ooreenstemmende toename in die totale verbrande oppervlakte was nie. Hierdie studie is ook gebruik om gebiede in die vuurregime te identifiseer wat 'n potensiële ekologiese risiko vir die miombobosveld in CSA inhou. Drie punte van kommer word geopenbaar: eerstens, 'n hoë voorkoms van laatseisoen brande is waargeneem in die noordelike grense van CSA. Tweedens, 64,2% van die totale verbrande oppervlakte in die CSA brand tussen 6 en 10 keer bine die 10-jaar periode. Laastens, 85% van die totale verbrande oppervlakte oor die tydperk 2001 tot 2010 het 'n FRI van minder as twee jaar. Die kombinasie van laatseisoen brande, hoë vuurfrekwensie en kort FRI in CSA is 'n aanduiding van moontlike veranderinge in die toestand van die miomboveld, wat negatiewe sosio-ekonomiese implikasies op die CSA en die omliggende gemeenskappe kan uitoefen. Hierdie studie het getoon dat die MCD45A1 'n nuttige bron van broodnodige vuur inligting vir Zimbabwe is. Daarom, moet die moontlikheid van die integrasie van die metodes wat gebruik word in hierdie studie in die huidige versameling van vuurdata behoorlike oorweging gegee word.
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Barnes, Mallory L., M. Susan Moran, Russell L. Scott, Thomas E. Kolb, Guillermo E. Ponce-Campos, David J. P. Moore, Morgan A. Ross, Bhaskar Mitra, and Sabina Dore. "Vegetation productivity responds to sub-annual climate conditions across semiarid biomes." WILEY-BLACKWELL, 2016. http://hdl.handle.net/10150/616989.
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In the southwest United States, the current prolonged warm drought is similar to the predicted future climate change scenarios for the region. This study aimed to determine patterns in vegetation response to the early 21st century drought across multiple biomes. We hypothesized that different biomes (forests, shrublands, and grasslands) would have different relative sensitivities to both climate drivers (precipitation and temperature) and legacy effects (previous-year's productivity). We tested this hypothesis at eight Ameriflux sites in various Southwest biomes using NASA Moderate-resolution Imaging Spectroradiometer Enhanced Vegetation Index (EVI) from 2001 to 2013. All sites experienced prolonged dry conditions during the study period. The impact of combined precipitation and temperature on Southwest ecosystems at both annual and sub-annual timescales was tested using Standardized Precipitation Evapotranspiration Index (SPEI). All biomes studied had critical sub-annual climate periods during which precipitation and temperature influenced production. In forests, annual peak greenness (EVImax) was best predicted by 9-month SPEI calculated in July (i.e., January-July). In shrublands and grasslands, EVImax was best predicted by SPEI in July through September, with little effect of the previous year's EVImax. Daily gross ecosystem production (GEP) derived from flux tower data yielded further insights into the complex interplay between precipitation and temperature. In forests, GEP was driven by cool-season precipitation and constrained by warm-season maximum temperature. GEP in both shrublands and grasslands was driven by summer precipitation and constrained by high daily summer maximum temperatures. In grasslands, there was a negative relationship between temperature and GEP in July, but no relationship in August and September. Consideration of sub-annual climate conditions and the inclusion of the effect of temperature on the water balance allowed us to generalize the functional responses of vegetation to predicted future climate conditions. We conclude that across biomes, drought conditions during critical sub-annual climate periods could have a strong negative impact on vegetation production in the southwestern United States.
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Magidi, James Takawira. "Spatio-temporal dynamics in land use and habit fragmentation in Sandveld, South Africa." Thesis, University of the Western Cape, 2010. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_7886_1297841126.
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This research assessed landuse changes and trends in vegetation cover in the Sandveld, using remote sensing images. Landsat TM satellite images of 1990, 2004 and 2007 were classified using the maximum likelihood classifier into seven landuse classes, namely water, agriculture, fire patches, natural vegetation, wetlands, disturbed veld, and open sands. Change detection using remote sensing algorithms and landscape metrics was performed on these multi-temporal landuse maps using the Land Change Modeller and Patch Analyst respectively. Markov stochastic modelling techniques were used to predict future scenarios in landuse change based on the classified images and their transitional probabilities. MODIS NDVI multi-temporal datasets with a 16day temporal resolution were used to assess seasonal and annual trends in vegetation cover using time series analysis (PCA and time profiling).Results indicated that natural vegetation decreased from 46% to 31% of the total landscape between 1990 and 2007 and these biodiversity losses were attributed to an increasing agriculture footprint. Predicted future scenario based on transitional probabilities revealed a continual loss in natural habitat and increase in the agricultural footprint. Time series analysis results (principal components and temporal profiles) suggested that the landscape has a high degree of overall dynamic change with pronounced inter and intra-annual changes and there was an overall increase in greenness associated with increase in agricultural activity. The study concluded that without future conservation interventions natural habitats would continue to disappear, a condition that will impact heavily on biodiversity and significant waterdependent ecosystems such as wetlands. This has significant implications for the long-term provision of water from ground water reserves and for the overall sustainability of current agricultural practices.
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Magdic, Matthew James. "Assessment of Soil Properties in Proximity to Abandoned Oil Wells usingRemote Sensing and Clay X-ray Analysis, Wood County, Ohio." Bowling Green State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1462537679.
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Grobler, Trienko Lups. "Sequential and non-sequential hypertemporal classification and change detection of Modis time-series." Thesis, University of Pretoria, 2012. http://hdl.handle.net/2263/25427.
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Satellites provide humanity with data to infer properties of the earth that were impossible a century ago. Humanity can now easily monitor the amount of ice found on the polar caps, the size of forests and deserts, the earth’s atmosphere, the seasonal variation on land and in the oceans and the surface temperature of the earth. In this thesis, new hypertemporal techniques are proposed for the settlement detection problem in South Africa. The hypertemporal techniques are applied to study areas in the Gauteng and Limpopo provinces of South Africa. To be more specific, new sequential (windowless) and non-sequential hypertemporal techniques are implemented. The time-series employed by the new hypertemporal techniques are obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor, which is on board the earth observations satellites Aqua and Terra. One MODIS dataset is constructed for each province. A Support Vector Machine (SVM) [1] that uses a novel noise-harmonic feature set is implemented to detect existing human settlements. The noise-harmonic feature set is a non-sequential hypertemporal feature set and is constructed by using the Coloured Simple Harmonic Oscillator (CSHO) [2]. The CSHO consists of a Simple Harmonic Oscillator (SHO) [3], which is superimposed on the Ornstein-Uhlenbeck process [4]. The noise-harmonic feature set is an extension of the classic harmonic feature set [5]. The classic harmonic feature set consists of a mean and a seasonal component. For the case studies in this thesis, it is observed that the noise-harmonic feature set not only extends the harmonic feature set, but also improves on its classification capability. The Cumulative Sum (CUSUM) algorithm was developed by Page in 1954 [6]. In its original form it is a sequential (windowless) hypertemporal change detection technique. Windowed versions of the algorithm have been applied in a remote sensing context. In this thesis CUSUM is used in its original form to detect settlement expansion in South Africa and is benchmarked against the classic band differencing change detection approach of Lunetta et al., which was developed in 2006 [7]. In the case of the Gauteng study area, the CUSUM algorithm outperformed the band differencing technique. The exact opposite behaviour was seen in the case of the Limpopo dataset. Sequential hypertemporal techniques are data-intensive and an inductive MODIS simulator was therefore also developed (to augment datasets). The proposed simulator is also based on the CSHO. Two case studies showed that the proposed inductive simulator accurately replicates the temporal dynamics and spectral dependencies found in MODIS data.Thesis (PhD(Eng))--University of Pretoria, 2012.
Electrical, Electronic and Computer Engineering
unrestricted
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Kang, Lei. "Reduced-Dimension Hierarchical Statistical Models for Spatial and Spatio-Temporal Data." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1259168805.
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Sláma, Pavel. "Návrh měřicího pracoviště v LabView pro účely měření spektra a světelného toku." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-316920.
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This thesis deals with luminance parameters measurement and ways to accomplish this using LabView software. The first part focuses on luminance parameters measurable by spectroradiometer and their meaning. Following part introduces reader to hardware equipment that is used in the measurement. Third part contains description of LabView software and explains what is required to make a communication between equipment and PC work. Next part explains how the communication with peripherals was achieved. Following up is the part where it is described how programs controlling AC and DC power supplies work. In this part the user interface is described.
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Cruickshanks, Katie Lawson. "The study of intertidal mollusc polymorphism using spectroradiometry and visual modelling." Thesis, University of Southampton, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427448.
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Zuber, Ralf [Verfasser]. "New methods in stray light correction and multi-imaging spectroradiometry / Ralf Zuber." Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2020. http://d-nb.info/1211083640/34.
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Luján, Iglesias María. "Validação de métodos para coleta de espectro de emissividade no infravermelho de ondas curtas e termal utilizando um espectrorradiômetro de campo portátil." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/98631.
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Esta pesquisa tem como objetivo principal desenvolver uma rotina de procedimentos de coleta de dados espectrais utilizando um espectro radiômetro de campo portátil, μFTIR Model 102, desenvolvido pela empresa Design & Prototypes, o qual permite a aquisição de espectros infravermelhos de superfícies entre 2 e 14 μm. O equipamento foi utilizado para realizar leituras de radiância e calculo de emissividade, transmitância e refletância, utilizando uma amostra de quartzo, a qual apresenta uma curva de emissividade bem conhecida no infravermelho termal (região entre 8-14 μm). Foram realizadas leituras na amostra para diferentes condições de temperatura e umidade, tanto no campo como no laboratório com o fin de obter um completo protocolo para a calibração e coleta de dados. Embora o instrumento opere numa região mais ampla, este estudo apenas avalia os dados entre 7-14 μm onde a maioria dos instrumentos a bordo de plataformas aéreas e orbitais posiciona os detectores.The main purpose of this research is to develop a routine procedure for data collection using a field spectral radiometer, μFTIR Model 102, developed by Design & Prototypes, which allows the acquisition of infrared spectra of surfaces between 2 and 14 μm. The instrument was used to perform lectures of radiances and calculation of emissivity, transmittance and reflectance, using a sample of quartz, which shows a very well-known curve of emissivity in the thermal infrared (region between 8-14 μm). Reading were taken in the sample for different conditions of temperature and humidity, both in the field and in the laboratory with the objective of get a complete protocol for calibration and data collection. Although the instrument operating in a wider region, this study evaluates the data between 7-14 μm where most of the instruments on board of airborne platforms and orbital detectors are positioned.
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Romero, Danilo Jefferson. "Procedimento para uniformização de espectros de solos (VIS-NIR-SWIR)." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/11/11140/tde-07012016-165309/.
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As técnicas de sensoriamento remoto têm evoluído dentro da ciência do solo visando superar as limitações de tempo e custo das análises químicas tradicionalmente utilizadas para quantificação de atributos do solo. As análises espectrais há muito tempo têm provado serem alternativas para complementar às análises tradicionais, sendo consideradas atualmente uma técnica consolidada e de ampla utilização. Os estudos em pedologia espectral têm utilizado os comprimentos de onda entre 350 a 25000 nm, porém, têm se detido com mais frequência na região de 350 a 2500 nm, a qual é dividida em Visível (VIS - 350 a 700 nm), infravermelho próximo (NIR - 700 a 1000 nm), e infravermelho de ondas curtas (SWIR - 1000 até 2500 nm). A exemplo das técnicas laboratoriais tradicionalmente utilizadas em análises de solos, faz-se necessário estabelecer padrões visando a comunicação científica a nível mundial em espectroscopia de solos. Com vista ao futuro da espectroscopia de solos, desenvolveu-se este estudo afim de se avaliar o efeito do uso de amostras padrões na aquisição de dados espectrais de amostras de solos tropicais em três diferentes geometrias de aquisição em três espectrorradiômetros (350 - 2.500 nm). 97 amostras de solos registrados na Biblioteca Espectral de Solos do Brasil (BESB) provenientes do Estado do Mato Grosso do Sul, cedidas pelo projeto AGSPEC foram utilizadas no estudo e duas amostras mestre brancas utilizadas como padrões de referência, sendo estas oriundas das dunas das praias de Wylie Bay (WB - 99 % quartzo) e Lucky Bay (LB - 90 % quartzo e 10 % aragonita), no sudoeste da Austrália. Para avaliar a padronização, as morfologias das curvas espectrais foram observadas quanto curvatura, feições, albedo; complementando as observações descritivas, as diferenças de reflectância entre os tratamentos utilizados (Sensor x Geometria x Correção) foram estudadas pela análise de variância e pelo teste de Tukey a 5 % de significância em três bandas espectrais médias (VIS-NIR-SWIR); e a modelagem para quantificação de teores de argila por meio da regressão por mínimos quadrados parciais (\"partial least squares regression\", PLSR), com validação cruzada (Cross Validation) para cada configuração e outra simulando uma biblioteca espectral mista, composta por combinações entre as configurações. O método de padronização proposto reduz as diferenças entre espectros obtidos em diferentes sensores e geometrias. A predição de argila por uma biblioteca espectral utilizando dados com diferentes configurações é favorecida pela padronização, passando de um de 0,83 para um de 0,85 após a correção, indicando a validade da unificação dos espectros pela técnica proposta.Remote sensing techniques have evolved within the soil science aiming to overcome time and cost limitations of chemical analysis traditionally used for quantification of soil properties. Spectral analysis have long proven to be alternatives to supplement traditional analysis, currently being considered a mature technique and widely applied. Studies on spectral pedology have used the wavelength between 350 to 25000 nm, however, have held more often in the region of 350 to 2500 nm, which is divided into visible (VIS - 350 to 700 nm), near infrared ( NIR - 700 to 1000 nm) and short wave infrared (SWIR - 1000 to 2500 nm). As traditional laboratory techniques used in soil analysis, it is necessary to establish standards aimed at worldwide scientific communication in soils spectroscopy. Going forward soil spectroscopy, this study was developed in order to evaluate the effect of using standard samples in the acquisition of spectral data of tropical soil in three different geometries acquisition in three spectroradiometers (350-2500 nm). 97 soil samples documented in Brazilian Soils Spectral Library (BESB) from Mato Grosso do Sul State, provided by the AGSPEC project were used in the study and two white master samples used as reference standards, which are from the beaches dunes of Wylie Bay (WB - 99% quartz) and Lucky Bay (LB - 90% quartz and 10% aragonite) in southwestern Australia. To judge the standardization, the morphologies of the spectral curves were observed for curvature, absorption features, albedo; complementing the descriptive observations, the reflectance differences between the configurations (Sensor x Geometry x Correction) were studied by analysis of variance and Tukey test at 5% significance in three average spectral bands (VIS-NIR-SWIR); and modelling for quantification of clay through regression by partial least squares (PLSR) with cross-validation for each configuration and another simulating a mixed spectral library, consisting of combinations of situations. The method proposed standardization reduces differences between spectra obtained from different sensors and geometries. The prediction of clay by a spectral library using data with different settings is favoured to standardize, from R² of 0.83 to 0.85 after correction, indicating the validity of the unification of the spectra by the proposed technique.
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Ferraz, Priscylla. "Influência da geometria de iluminação e do ângulo de visada na resposta espectral da cultura do feijão (Phaseolus vulgaris L.)." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/11/11143/tde-06032006-145013/.
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O estudo do comportamento espectral de culturas agrícolas, por meio da radiometria de campo, contribui para a obtenção de uma maior precisão nos modelos gerados pelo sensoriamento remoto, quando utilizados na estimativa e análise de variáveis agronômicas de culturas. Tendo em vista que os sensores a bordo de satélites podem adquirir imagens sob diferentes ângulos de visada e em diferentes horários de passagem, torna-se necessário o conhecimento do efeito dessas variáveis sobre a resposta espectral das culturas. A presente pesquisa teve como objetivo avaliar a influência de três ângulos de visada (0º, 30º e 45º) e três horários de medição (10 horas, 12 horas e 14 horas), o que implica em diferentes ângulos de elevação solar, na resposta espectral da cultura de feijão, como também nas relações entre o índice de área foliar (IAF) e o Índice de Vegetação Diferença Normalizada (NDVI). O experimento foi conduzido na Fazenda Areão, pertencente à Escola Superior de Agricultura 'Luiz de Queiroz' (ESALQ/USP), Piracicaba, SP, de março a junho de 2005. O delineamento experimental foi o de blocos ao acaso, com parcelas subdivididas, constituído de três blocos, três tratamentos primários referentes aos horários de leitura e três tratamentos secundários relacionados ao ângulo de visada. Foram realizadas nove campanhas de medição no campo, com o espectroradiômetro SPECTRON SE-590. Dos fatores de reflectância (FR) determinados, simularam-se as bandas TM3 e TM4 e, a partir destes, foram gerados os índices de vegetação. De acordo com os resultados obtidos, concluiu-se que a variação do horário de medição não proporcionou variação significativa sobre os valores do FR nas bandas TM3 e TM4. Já a variação do ângulo zenital de visada influenciou significativamente, ao nível de 5 % de probabilidade, o FR nas bandas TM3 e TM4, para todos os dias de leitura. Quanto às relações IAF e NDVI, o modelo linear apresentou melhores ajustes, estatisticamente significativos (p≤0,05).The study of the spectral behavior of crops, through field radiometry, contributes to a better precision in models generated by remote sensing, when they are used to estimate and analyze crops agronomic variables. Once sensors aboard of satellites are able to acquire images under different viewing angles and at different times of the day, it is necessary to understand the effect of such variables on the crops spectral response. The objective of this research was to evaluate the influence of the viewing angles (0º, 30º and 45º) and three radiometric acquisition times (10:00 a.m, 12:00 a.m and 2:00 p.m), related to different sun elevation angles, on the spectral behavior of bean crop, as well as on the relationship between Leaf Area Index (LAI) and Normalized Difference Vegetation Index (NDVI). The experiment was installed in the Fazenda Areão, of the ESALQ/USP, in Piracicaba, SP, from March to June, 2005. The experimental design was the randomized blocks, with split plots, with three blocks, three primary treatments (acquisition times) and three secundary treatments (viewing angles). Nine field campaigns were carried out with the SPECTRON SE-590 spectroradiometer. Bands TM3 e TM4 were simulated from the determined reflectance factors and, with these bands, vegetation indices were generated. According to the results, it was concluded that the variation on acquisition time did not lead to a significant variation on the reflectance factors in the TM3 and TM4 bands. On the other hand, the variation in the viewing angle significantly affected (p≤0,05) the reflectance factor in the TM3 and TM4 bands, for every day of measurement. Regarding the relationships between LAI and NDVI, the linear model showed the best fit (p≤0,05).
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Bombassaro, Magno Gonzatti. "Análise espectral de variedades de Vitis vinifera a partir de dados radiométricos de dossel em vinhedos de Pinto Bandeira, RS." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2016. http://hdl.handle.net/10183/150251.
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A crescente demanda do mercado mundial em aumentar a produção agrícola e minimizar danos ambientais confere crescente relevância à agricultura de precisão, para a qual a Geoinformação é uma importante ferramenta. Diferentes dados provenientes de imagem de sensores orbitais e terrestres têm sido utilizados para o monitoramento agrícola em escalas local, regional e global. Neste contexto, e focalizando esta percepção à viticultura, o objetivo deste estudo é avaliar o comportamento espectral de diferentes cultivares de videiras ao longo do ciclo fenológico, dando suporte para realização da discriminação espectral das variedades e o mapeamento da variação espacial do vigor vegetativo dentro da parcela. Para o desenvolvimento da pesquisa proposta o trabalho foi dividido em duas etapas. A primeira investigação consistiu em um estudo realizado em vinhedos da região de Borgonha na França, onde foram estudadas as variedades de uva Chardonnay e Pinot Noir. O trabalho teve como pressuposto verificar se as categorias de qualidade que definem os vinhedos e são transmitidas a partir do solo ao vinho são igualmente transmitidas às folhas das videiras, e se estas podem ser detectadas na informação espectral de imagens de satélites ASTER. Os resultados obtidos mostraram ser possível esta discriminação e instigaram novos estudos mais detalhados que foram conduzidos em vinhedos da Vinícola Geisse, localizada na Serra Gaúcha, realizados a partir de dados de radiometria de campo e imagens orbitais. Novamente foram investigadas as variedades viníferas Chardonnay e Pinot Noir, monitoradas ao longo de duas safras. As medições de campo foram realizadas com um radiômetro FieldSpec Pro. Também foram usados dados orbitais provenientes do sensor WorldView-2. Dados de campo e orbitais apresentaram relações consistentes, e mostraram ser possível discriminar as variedades através de suas características espectrais. A alta relação sinal/ruído dos dados de campo permitiu detectar diferenças consistentes e sistemáticas nos comprimentos de onda do verde e vermelho, atribuídas à presença de pigmentos como as antocianinas. O monitoramento da dinâmica espectral do ciclo fenológico revelou feições espectrais consistentes nos comprimentos de onda do infravermelho atribuídas ao período de senescência da videira. A espacialização dos dados de vigor vegetativo, obtidos através de índices de vegetação (NDVI) permitiu a setorização de áreas com diferentes potenciais enológicos.The growing demand of world markets to increase agricultural production and to minimize environmental impacts puts the Geoinformation as an important tool of precision agriculture. Several sets of data of images from orbital and ground sensors have been used for agricultural monitoring at local, regional and global scales. In this context, focusing this perception to viticulture, the aim of this study was to evaluate the spectral comportment of different grapevine cultivars along of phenological cycle, giving support to realization of spectral discrimination of varieties and the mapping of the spatial variation of vegetative vigor within the plot. For the development of this project, our research was divided into two stages. The first research consisted in a study of vineyards of the Burgundy region in France, where the studied grape varieties were Chardonnay and Pinot Noir. The work was to verify the assumption that the quality categories that define the vineyards and are transmitted from the soil to wine are also transmitted to the leaves of the vines, and these can be detected in the spectral information contained in ASTER satellite images. Results showed that this discrimination is indeed possible, and lead to the second part of the project, with new and more detailed studies, which were performed in the vineyards of Geisse Winery, located in the Serra Gaúcha region, Brazil, based on field radiometry and orbital images. The same grape varieties Chardonnay and Pinot Noir grapes were again investigated. Field measurements were performed with a radiometer FieldSpec Pro. The investigation was made on two vine plots, based on a selection of plants of the Chardonnay and Pinot Noir, which were monitored over two growing seasons. Orbital data were from the WorldView-2 sensor. Field and orbital data showed consistent relations and showed that it is possible to distinguish the varieties by their spectral characteristics. The high relation signal/noise of field data allowed detecting consistent and systematic spectral features at red and green wavelengths, thought to be linked to the presence of pigments such as anthocyanins. The monitoring of spectral dynamics during the phenological cycle revealed consistent spectral features in infrared wavelengths assigned to the vine senescence period. The spatial distribution of vegetative vigor data obtained from the vegetation index (NDVI) allowed the sectorization of areas with different enological potentials.
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Ducasse, Etienne. "Cartographie fine de l’argile minéralogique par démélange d’images hyperspectrales à très haute résolution spatiale." Thesis, Toulouse, ISAE, 2019. http://www.theses.fr/2019ESAE0008/document.
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L'étude des sols argileux fait l'objet de nombreux travaux motivés par leur rôle dans les processus d'érosion, les catastrophes naturelles et l'agriculture de précision. La caractérisation du contenu en argiles gonflantes du sol est aussi nécessaire pour évaluer la traficabilité d’une région ou le risque de retrait-gonflement des sols, responsable d’engendrer des dégâts sur le bâti. En effet, les argiles gonflantes sont des smectites qu'il faut différencier des autres types d'argiles telles que l'illite ou la kaolinite, en milieu tempéré. Les techniques traditionnelles pour réaliser la cartographie des minéraux argileux des sols sont en général couteuses, financièrement et en temps et sont basées sur des campagnes terrain intensives simultanément à des acquisitions photographiques afin de spatialiser l'information qui reste qualitative. La télédétection hyperspectrale est une technique potentiellement intéressante pour obtenir des cartes d'argile plus précises et à moindre coût. Néanmoins, elle est limitée par le fait que (i) les minéraux sont mélangés de manière intime dans les sols avec d’autres composants; mais aussi que (ii) à l’échelle aéroportée, le signal réfléchi au sein d’un pixel (résolution spatiale de l’ordre du mètre) comprend de la végétation en plus du sol nu. Ces phénomènes de mélange, aux échelles microscopique et macroscopique, rendent difficile l’estimation du contenu en argiles minéralogiques. Le développement des drones ainsi que leur possibilité d'embarquer de nouvelles caméras hyperspectrales couvrant l'ensemble du spectre [0,4 - 2,5 µm] avec une haute résolution spatiale (environ 10 cm) et un signal à bruit élevé ouvrent la voie à un inventaire plus précis des argiles.L'objectif de cette thèse est de montrer l'intérêt de l'utilisation de méthodes de démélange sur des données hyperspectrales à très haute résolution spatiale pour estimer le contenu en minéraux argileux du sol, et plus précisément des argiles responsables du retrait-gonflement, les smectites. Dans un premier temps, les méthodes existantes de détection, de caractérisation des différents types d'argile et d'estimation de leur abondance sont présentées. Les potentialités des méthodes de démélange existantes dans la littérature pour l’estimation du contenu en minéraux argileux des sols sont mises en avant. Dans un second temps, les méthodes de démélange sont utilisées sur une base de données d’images hyperspectrale acquises en laboratoire de mélanges contrôlés minéraux contenant des argiles (montmorillonite, illite, kaolinite) et d’autres minéraux présents dans les sols (quartz, calcite). Comme les minéraux sont mélangés de manière intime, des méthodes de démélange, linéaires et non-linéaires sont décrites et comparées. Néanmoins, les algorithmes non-linéaires ont des performances similaires aux algorithmes linéaires. De plus, l’effet de la variabilité des données sur la précision de l’estimation des abondances a pu être réduit en utilisant des prétraitements spectraux. Dans une dernière étape, la comparaison des méthodes de démélange sont étendues à des mesures en environnement extérieur. Cette analyse repose sur une campagne de mesure en extérieur réalisée pour la mesure d'images hyperspectrales acquises depuis une nacelle (12 m de hauteur environ, 1,5 cm de résolution spatiale), et l’acquisition d’échantillons prélevés et analysés par DRX (données quantitatives des abondances des minéraux) pour validation. Cette dernière phase permet d'analyser l'impact d'un sol naturel (composé d'un mélange minéralogique, des matières carbonées telles que la cellulose, et ayant une rugosité de surface…) sur les méthodes de démélange. Les performances obtenues (moins de 15% RMSE sur l’estimation de la montmorillonite) permettent d’ouvrir des perspectives quant à l’application de ces méthodes sur des capteurs embarqués par drone, pour la cartographie de la traficabilité et de l’aléa de retrait-gonflement des solsClayey soils are studied because of the importance of soils in erosion processes, natural disasters and precision agriculture. Mapping of clay mineralogy is essential for surveying and predicting trafficability and ground instability hazards, such as shrink-swelling, in order to cope with damages caused by expansive soils on infrastructures. Clay minerals in temperate zone soils are mainly divided in smectites, which highly contribute to soil swelling, illite and kaolinite. Geotechnical engineering practice for clayey soils mapping are expensive and time-consuming. Indeed, it is based on field and extensive laboratory studies. In addition, spatial distribution of clay is assessed using aerial photographs and low-scale geological maps. Thereby, small heterogeneities in geological features are rarely detected, and spatial information remains qualitative. Hyperspectral remote sensing could be an alternative to conventional methods for clay mapping. However, this method is limited by two facts: (i) soils are an intimate mixture of minerals, and (ii) vegetation is mixed with bare soil within airborne sensors pixels (meter range of spatial resolution). Those mixtures (at microscopic and macroscopic scales) mask clays specific spectral signatures and limit clay mineral quantification. Recent development in UAV offers new possibilities for carrying hyperspectral cameras in the reflective domain [0.4 – 2.5 µm], and obtaining data with higher SNR and resolution (10 cm). These advances open new perspectives for accurate and less expensive clay maps. This PhD thesis aims to present the potentiality of clay mapping in soils using very-high spatial resolution hyperspectral data, and more specifically, to estimate swelling clay minerals (smectite) abundances. First, existing methods of detection, and abundance estimation of clay minerals are presented. Second, unmixing methods are used on a database of hyperspectral images of controlled mixtures with different abundances of clay minerals, (illite, montmorillonite and kaolinite) and other minerals existing in soils (quartz, calcite). Due to the intimate nature of mixtures, linear and non-linear unmixing methods are described and compared. However, linear and nonlinear algorithms exhibit similar performances. Moreover, the accuracy of estimation of abundances of mineral clay increased using spectral preprocessings. Regarding the third step, field measurements are used to assess clay unmixing methods. This study is based on an outdoor experiment which acquired hyperspectral images from a bucket truck (12 m elevation, 1.5 cm ground sampling distance), and a sampling collection analyzed by XRD (quantitative analysis of mineral abundances) for validation. This step analyzed effects of a natural soil, (with organic matter, a larger diversity of mineralogical components and with surface roughness) on unmixing methods tested with laboratory data. Obtained performances (less than 15% RMSE for montmorillonite estimation) allow perspectives to apply these methods on data obtained with UAV sensors, for trafficability or expansive soils mapping purposes
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Monteiro, Priscylla Ferraz Camara. "Efeitos das lâminas de irrigação e da adubação nitrogenada no comportamento espectral da cultura do feijão." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/11/11143/tde-25022010-094500/.
Full textAbstract:
Este trabalho teve como objetivo principal analisar, em condições de campo, o efeito de lâminas de irrigação e de doses de nitrogênio sobre o comportamento espectral da cultura do feijão, a partir de medidas de reflectância hiperespectral, na faixa de 350 a 1150 nm, e da correlação entre os parâmetros biofísicos e as variáveis agronômicas da cultura, nessas condições. O experimento foi conduzido na área experimental de Agricultura Irrigada da Fazenda Areão, sob a responsabilidade do Departamento de Engenharia Rural da Escola Superior de Agricultura Luiz de Queiroz DER/ESALQ/USP, localizada no município de Piracicaba, SP, de setembro a dezembro de 2007. O delineamento experimental foi em blocos casualizados com parcelas subdivididas, alocando-se, nas parcelas, os tratamentos relacionados aos níveis de irrigação ((179,5; 256,5; 357,5 e 406,2 mm) e nas subparcelas os tratamentos relativos às doses de nitrogênio (0; 80 e 160 kg ha-1), totalizando doze tratamentos em cada bloco. Como os tratamentos foram dispostos em quatro blocos (repetições), o total de parcelas experimentais foi de 48. As medidas radiométricas de campo foram adquiridas por meio do espectrorradiômetro SPECTRON SE-590, em sete datas, durante o ciclo da cultura. Foram coletados, ainda, a altura das plantas, o índice de área foliar, a produtividade de grãos, o número de grãos por vagem e o número de vagens por planta. Os índices espectrais calculados foram o NDVI e o NB_NDVI. Foi aplicada a remoção do contínuo nos espectros de reflectância para analisar a profundidade da banda e a área da banda de absorção, centrada em 665 nm. O fator água influenciou as variáveis biofísicas (IAF, altura da planta, produtividade, número de vagens por planta e número de grãos por vagem), sendo maiores os valores encontrados nas plantas que receberam maiores quantidades de água. O aumento da dose de nitrogênio não influenciou as variações das variáveis biofísicas, devido, possivelmente, ao processo de lixiviação desse nutriente para as camadas abaixo do sistema radicular da cultura. As análises dos índices de vegetação e dos parâmetros da remoção do contínuo (área e profundidade da banda de absorção) mostraram que as lâminas de irrigação afetaram o comportamento espectral do feijão no comprimento de onda de 665 nm, e que esses parâmetros não foram influenciados pelas doses de N. Os índices de vegetação (NDVI e NB_NDVI) e os parâmetros da remoção do contínuo (a profundidade da banda e a área da banda de absorção) foram eficientes na estimativa do IAF, da altura de plantas e da produtividade de grãos. Durante todo o desenvolvimento da cultura, as melhores correlações entre as variáveis biofísicas e as variáveis espectrais foram observadas nos estádios V4 e R6 de acordo com a variável analisada, sendo, portanto, estes os melhores estádios para monitorar espectralmente a cultura. Diante das metodologias utilizadas, as variáveis biofísicas foram mais bem estimadas pelo índice NB_NDVI, nos estádios V4 e R6, quando comparado ao índice NDVI e aos parâmetros da remoção do contínuo (profundidade e área da banda de absorção).The objective of this research was to analyze the effect of irrigation levels and nitrogen fertilization on the spectral behavior, in the wavelength range of 350 to 1150 nm, of bean crop and the correlation between biophysical parameters and agronomical variables. The experiment was carried on at the Fazenda Areão, located at the University of São Paulo (ESALQ/USP) campus, Piracicaba, São Paulo, Brazil, from September to December, 2007. The experimental design was the randomized blocks, with split plots, with 12 treatments, 4 irrigation levels (179,5; 256,5; 357,5 e 406,2 mm) and 3 nitrogen rates (0; 80 e 160 kg ha-1), and four blocks. The field radiometric data were acquired with the SPECTRON-SE 590 spectroradiometer for seven dates during the crop growing season. Plant height, leaf area index (LAI), grain yield, the pod number per plant and the grain number per pod were also acquired. The spectral indices used were NDVI and NB_NDVI. The continuum removal was applied for the reflectance spectrum, on visible region centered on 665 nm, to analyze the band area and band depth. The irrigation also influenced the biophysical variables, so the largest medium values were observed in the treatments that used the largest irrigation levels. The nitrogen fertilization did not interfere on the biophysical variables, probably due to the leaching process. The vegetation indices and continuum removal analysis showed that irrigation levels affected the spectral behavior of bean crop on 665 nm and this parameters had not been influenced by nitrogen levels. The vegetation indices (NDVI and NB_NDVI) and the continuum removal parameters (band area and band depth) were efficient in the estimate of IAF, plant height and grain yield. During all the crop development, the best correlations between biophysical variables and spectral variables were observed on V4 and R6 stages, according to the variable analized. In face of the methodologies used, the biophysical variables were better estimated by NB_NDVI, on V4 and R6 stages, when compared with NDVI and the continuum removal parameters.
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Botelho, Márcio Ramos. "Avaliação da cor e comportamento espectral de algumas classes de solos do Rio Grande do Sul." Universidade Federal de Santa Maria, 2005. http://repositorio.ufsm.br/handle/1/5491.
Full textAbstract:
The soil color is a characteristic easily determined, through the visual comparison with the Munsell Charts and is related to the presence of iron oxide and organic matter in the soil. The obtention of the color trough instruments as colorimeters and spectroradiometers tend to increase precision since are done under controlled conditions. The objective of study 1 of this work was to compare the color of different soils of the Rio Grande do Sul, determined through the Munsell Charts with the measures made by colorimetry. The coefficients of correlation obtained had indicated that coherence between the color measures carried through for different observers
(Munsell Charts) and the colorimeter. The precision of the observers in the determination of the color for the same soil sample was evaluated, with lesser variability for the component shade and greater difficulty in the evaluation of
chromes. The colorimeter showed to be efficient when used to quantify the color, eliminating possible psychophysical errors attributed to the visual method. Radiometers or spectroradiometers record the energy reflected from the soil in the wavelengths of visible and the infrared region of the electromagnetic specter, in a numerical or graphical data sets called spectral curves. The existing relations between the spectral behavior and the specific soil characteristics, as texture, content organic matter and iron oxides, allow distinguishing soils classes and the quantification of some characteristics through the spectral curves. The objective of
study 2 was to relate the physical, chemical, and mineralogical characteristics with the spectral behavior of different soils classes of the RS in the 400 to 2500 nm
interval of the optic specter to seek an agreement of the effect of the spectral interaction with the different soil components. The results obtained in study 2 had shown that it is possible to identify and to correlate the soil haracteristics as the content organic matter, iron oxides, color and granulometry through the soil spectroradiometry.A cor do solo é uma característica facilmente determinada, através da comparação visual com a carta de Munsell e está relacionada à presença de óxidos de ferro e matéria orgânica no solo. A obtenção da cor via instrumentos como colorímetros e espectrorradiômetros tende a maior precisão por apresentar condições controladas. O objetivo do estudo 1 deste trabalho foi comparar a cor de diferentes solos do Rio Grande do Sul determinada através da carta de Munsell com as medidas feitas por colorimetria. Os coeficientes de correlação obtidos indicaram haver coerência entre as medidas de cor realizadas por diferentes observadores (carta de Munsell) e o colorímetro. A precisão dos observadores na determinação da cor para uma mesma amostra de solo foi avaliada, com menor variabilidade para o componente matiz e maior dificuldade na avaliação do croma. O colorímetro mostrou ser eficiente quando pretende-se quantificar a cor, eliminando possíveis erros psicofísicos atribuídos ao método visual. Já os radiômetros ou espectrorradiômetros captam a energia refletida pelo solo nos comprimentos de onda do visível e infravermelho do espectro eletromagnético, sendo que o resultado é um conjunto de dados numéricos ou gráficos chamados curvas espectrais. As relações existentes entre o comportamento espectral e as características específicas do solo, como textura, teor de matéria orgânica e óxidos de ferro, permitem distinguir classes de solos e muitas vezes a quantificação destas características através das curvas espectrais. O objetivo do estudo 2 foi relacionar as características físicas, químicas e mineralógicas com o comportamento espectral de diferentes classes de solos do RS no intervalo de 400 a 2500 nm do espectro óptico procurando um entendimento dos efeitos da interação espectral entre os diferentes componentes do solo. Os resultados obtidos no estudo 2 mostraram que é possível identificar e correlacionar características do solo como o teor de matéria orgânica, óxidos de ferro, cor e granulometria por meio da espectrorradiometria de solos.
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Toniolo, Gustavo Rodrigues. "Identificação de constituintes opticamente ativos na água do Lago Guaíba, a partir de dados de sensores orbitais e espectrorradiometria de campo." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2016. http://hdl.handle.net/10183/150210.
Full textAbstract:
O Lago Guaíba é um importante corpo d’água localizado na porção leste do estado do Rio Grande do Sul. É a principal fonte de abastecimento de água para a região metropolitana de Porto Alegre, além de exercer outras funções sociais primordiais, como de estocar água para usos futuros, abastecimento agrícola e industrial, navegação, entre outros. Com os recentes avanços na tecnologia de Sensoriamento Remoto, espectrorradiômetros com altíssima resolução espectral e radiométrica são cada vez mais utilizados na discriminação de diferentes elementos presentes na natureza. Paralelamente, estão os sensores orbitais que possibilitam, por meio de sua visão sinótica, ampliar a representatividade espacial dos elementos na superfície terrestre. Este trabalho tem como objetivo caracterizar as águas do Lago Guaíba, quanto as suas propriedades ópticas, a partir da integração de dados de sensoriamento remoto orbital e de espectrorradiometria de campo. Para tanto foram coletadas variáveis limnológicas (totais de sólidos em suspensão, clorofila-a, turbidez) e espectrais em 9 de fevereiro de 2015, utilizando uma rede de 25 estações de coleta sobre o Lago, e adquiridos dados complementares: precipitação pluviométrica e direção de ventos. Foi utilizada uma série temporal da banda 4, sensor OLI/Landsat-8, e estabelecida correlação entre precipitação e reflectância. Foram adquiridos espectros com o espectrorradiômetro e aplicadas técnicas de suavização, derivada e remoção do contínuo, buscando identificar os constituintes opticamente ativos que determinam as características da água. As variáveis limnológicas foram espacializadas e relacionadas com os dados espectrais por meio de correlações e modelos de dispersão. Uma imagem do sensor LISS-III/ResourceSat-2 foi utilizada para estimativa empírica dos parâmetros limnológicos. Os resultados mostraram que a precipitação de 16 dias anteriores à aquisição da imagem influência de forma significativa nas características ópticas da água em diferentes épocas do ano. A máxima reflectância da água foi na faixa espectral do verde (0,18%). As regiões onde se observou as maiores reflectâncias na série estão ligadas aos ambientes onde predominam condições de erosão ou não deposição de sedimentos finos. Regressões empíricas explicaram que 23% da reflectância em 708 nm é devida a presença de sólidos na água. A concentração de Chl-a não apresentou correlações significativas (α = 0,05) com a reflectância. A análise dos dados espectrais demonstrou que os dois métodos de derivada e remoção do contínuo apresentaram bons resultados. Observou-se o aumento das correlações após a derivação evidenciando que esta técnica aumenta o contraste espectral e assim a precisão das estimativas. A primeira derivada em 772 nm explicou 44% da variação devido ao totais de sólidos em suspensão. Já em 690 nm, a primeira derivada explicou 32% da variação na concentração de clorofila-a. Os melhores resultados foram observados nas variáveis turbidez e transparência. A partir da remoção do contínuo se verificou as maiores profundidades de bandas em comprimentos de onda mais longos. Correlações fortes foram encontradas para as variáveis turbidez e transparência (r = 0,86 e -0,86, respectivamente) na faixa de 690-750 nm. Devido à baixa concentração tanto de sólidos em suspensão quanto de clorofila-a, houve dificuldade no estabelecimento de relações fiáveis entre parâmetros espectrais e a qualidade da água do Lago Guaíba. As imagens LISS-III mostraram-se potenciais para mapear a composição da água do Lago Guaíba.Guaíba Lake is an important body of water located in the east portion of Rio Grande do Sul. It is the main source of water supply to Porto Alegre metropolitan region, besides exercising other primary social functions such as storing water for future use, agricultural and industrial supply, shipping, among others. With the recent advancements in technology of Remote Sensing, spectroradiometers with the highest spectral and radiometric resolution are each time more used to the distinction of different elements presented in nature. In parallel, there are the orbital sensors, which allow, through it’s synoptic view, to amplify the spatial representativity of the elements on earth’s surface. This work aims to characterize the waters of Guaíba Lake- RS, in terms of its optical properties, from the data integration of remote orbital sensing and spectroradiometry of the area. To achieve this, limnologic (total of suspended solids, chlorophyll-a, and turbidity) and spectral variables were collected on February 9th 2015, by the use of a 25 station collection network on the lake, and acquired complementary data: rain fall and wind direction. One temporal series of band 4 and sensor OLI/Landsat 8 were used, and the correlation between rain falls and reflectance was established. Spectra were acquired with the spectroradiometer and smoothing, derivation and continuum removal techniques were applied in order to identify the optically active constituents which determine the characteristics of the water. The limnologic variables were spatialized and related to the spectral data by correlations and dispersion models. An image of the sensor LISS-III/ResourceSat-2 was used for the empirical estimation of the limnologic parameters. The results showed that the 16 days rain falls previous to the image acquisition influenced in a significant way in the optical characteristics of the water in different seasons of the year. The maximum reflectance of water was in the green spectral range (0, 18%). The regions where the highest reflectance in the series was observed are connected to the environments where prevail the erosion conditions or nondeposition of fine sediments. Empirical regressions explained that 23% of the reflectance in 708 nm is due to the presence of solids in the water. The concentration of Chl-a did not present significant correlations (α = 0, 05) with the reflectance. The analysis of spectral data showed that the two methods of derivation and continuum removal presented positive results. The increase of correlations after the derivation was observed, highlighting the fact that this technique increases the spectral contrast and so the estimation accuracy. The first derivation in 772 nm explained 44% of the variation in the concentration of chlorophyll-a. The best results were observed in the variables TUR and DS. From the removal of the continuum, the highest band depth was verified in longer wavelength. Strong correlations were found to the turbidity and transparency variables (r = 0,86 and -0,86, respectively) in the range of 690-750 nm. Due to low concentration of suspended solids as much as chlorophyll-a, there was difficulty in the establishment of reliable relations between the spectral parameters and the quality of water in Guaíba River. The images LISS-III showed themselves to be potentials to map Guaíba River’s composition.