We are proudly a Ukrainian website. Our country was attacked by Russian Armed Forces on Feb. 24, 2022.
You can support the Ukrainian Army by following the link: https://u24.gov.ua/.
Even the smallest donation is hugely appreciated!
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Environmental Remote Sensing Applications Laboratory.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Environmental Remote Sensing Applications Laboratory":
1
Zwissler, Bonnie, Thomas Oommen, Stan Vitton, and Eric A. Seagren. "Thermal Remote Sensing For Moisture Content Monitoring of Mine Tailings: Laboratory Study." Environmental and Engineering Geoscience 23, no. 4 (November 1, 2017): 299–312. http://dx.doi.org/10.2113/gseegeosci.23.4.299.
Abstract Mining produces massive volumes of mine tailings that are deposited into large-scale mine tailings impoundments. A key environmental objective of managing these large impoundments is mitigating fugitive dust emissions by monitoring and controlling moisture, because moisture directly affects the tailings’ strength and the ability to apply dust control measures using motorized equipment. Therefore, understanding the spatial and temporal variations in moisture content for surface tailings is critical for characterizing dust susceptibility and trafficability. Remote sensing has been proven to be a useful tool for similar applications. This study utilized laboratory testing conducted on iron mine tailings to verify that: (1) a relationship exists between moisture content and strength for the surface of mine tailings, and (2) thermal remote sensing can be used to infer spatial variations in moisture content for surface tailings. Multivariate regressions were developed to identify the critical remote sensing and climatic variables and evaluate their influence in remotely measured moisture content. For tailings samples collected from two different North American iron mines, regressions using sample temperature and ambient humidity were able to predict surface moisture content (R2> 0.9).
2
Tagarakis, Aristotelis C., Dimitrios Kateris, Remigio Berruto, and Dionysis Bochtis. "Low-Cost Wireless Sensing System for Precision Agriculture Applications in Orchards." Applied Sciences 11, no. 13 (June 24, 2021): 5858. http://dx.doi.org/10.3390/app11135858.
Wireless sensor networks (WSNs) can be reliable tools in agricultural management. In this work, a low cost, low power consumption, and simple wireless sensing system dedicated for agricultural environments is presented. The system is applicable to small to medium sized fields, located anywhere with cellular network coverage, even in isolated rural areas. The novelty of the developed system lies in the fact that it uses a dummy device as Coordinator which through simple but advanced programming can receive, process, and send data packets from all End-nodes to the cloud via a 4G cellular network. Furthermore, it is energy independent, using solar energy harvesting panels, making it feasible to operate in remote, isolated fields. A star topology was followed for the sake of simplification, low energy demands and increased network reliability. The developed system was tested and evaluated in laboratory and real field environment with satisfactory operation in terms of independence, and operational reliability concerning packet losses, communication range (>250 m covering fields up to 36 ha), energy autonomy, and uninterrupted operation. The network can support up to seven nodes in a 30 min data acquisition cycle. These results confirmed the potential of this system to serve as a viable option for monitoring environmental, soil, and crop parameters.
3
Mosley, R. M., and R. R. Williams. "Fourier Transform near Infrared Absorption Spectroscopy of Gases." Journal of Near Infrared Spectroscopy 2, no. 3 (June 1994): 119–25. http://dx.doi.org/10.1255/jnirs.38.
The application of Fourier transform near infrared spectroscopy (FT-NIR) to the analysis of gas phase molecules is presented. The use of this technique with both sealed laboratory cells and open-path measurements is demonstrated. The gas phase absorption spectra of several environmentally important organic molecules were collected for qualitative comparison. Calibration data and detection limits for several of the compounds are presented. For ammonia, the background equivalent concentration for a 10 cm path was determined to be 1.5 ppm while propane in the same pathlength was found to be 180 ppm. Other applications of this technique, including the use of fibre optics for remote sensing, are also discussed.
4
Lang, Harold R., and Steven M. Baloga. "Validation airborne visible-infrared imaging spectrometer data at Ray Mine, Arizona." Environmental and Engineering Geoscience 6, no. 3 (August 1, 2000): 187–200. http://dx.doi.org/10.2113/gseegeosci.6.3.187.
Abstract The fundamental promise of imaging spectroscopy is to provide surface mineralogy based on remotely-acquired, gridded reflectance spectra of comparable quality to those from high resolution laboratory and field spectrometers. For regulatory and environmental monitoring, validating imaging spectrometer data is a major issue with this emerging technology. In this paper we validate 1997 Airborne Visible-Infrared Imaging Spectrometer (AVIRIS) reflectance spectra covering 0.4 mu m-2.4 mu m at a stable, flat, manmade target at Ray Mine, Arizona, for EPA/NASA assessment of the utility of remote sensing for monitoring acid drainage from an active open pit copper mine. For validation, we a) compare qualitatively, laboratory and field reflectance spectra with corresponding AVIRIS spectra; b) compare quantitatively, mineralogically diagnostic statistics from field spectra with the same statistics from field spectra with the same statistics from AVIRIS spectra; and c) demonstrate a methodology for validating imaging spectrometer data for environmental applications.
5
Guimarães, Tainá T., Maurício R. Veronez, Emilie C. Koste, Eniuce M. Souza, Diego Brum, Luiz Gonzaga, and Frederico F. Mauad. "Evaluation of Regression Analysis and Neural Networks to Predict Total Suspended Solids in Water Bodies from Unmanned Aerial Vehicle Images." Sustainability 11, no. 9 (May 5, 2019): 2580. http://dx.doi.org/10.3390/su11092580.
The concentration of suspended solids in water is one of the quality parameters that can be recovered using remote sensing data. This paper investigates the data obtained using a sensor coupled to an unmanned aerial vehicle (UAV) in order to estimate the concentration of suspended solids in a lake in southern Brazil based on the relation of spectral images and limnological data. The water samples underwent laboratory analysis to determine the concentration of total suspended solids (TSS). The images obtained using the UAV were orthorectified and georeferenced so that the values referring to the near, green, and blue infrared channels were collected at each sampling point to relate with the laboratory data. The prediction of the TSS concentration was performed using regression analysis and artificial neural networks. The obtained results were important for two main reasons. First, although regression methods have been used in remote sensing applications, they may not be adequate to capture the linear and/or non-linear relationships of interest. Second, results show that the integration of UAV in the mapping of water bodies together with the application of neural networks in the data analysis is a promising approach to predict TSS as well as their temporal and spatial variations.
6
Orych, A., P. Walczykowski, A. Jenerowicz, and Z. Zdunek. "Impact of the cameras radiometric resolution on the accuracy of determining spectral reflectance coefficients." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1 (November 7, 2014): 347–49. http://dx.doi.org/10.5194/isprsarchives-xl-1-347-2014.
Nowadays remote sensing plays a very important role in many different study fields, i.e. environmental studies, hydrology, mineralogy, ecosystem studies, etc. One of the key areas of remote sensing applications is water quality monitoring. Understanding and monitoring of the water quality parameters and detecting different water contaminants is an important issue in water management and protection of whole environment and especially the water ecosystem. There are many remote sensing methods to monitor water quality and detect water pollutants. One of the most widely used method for substance detection with remote sensing techniques is based on usage of spectral reflectance coefficients. They are usually acquired using discrete methods such as spectrometric measurements. These however can be very time consuming, therefore image-based methods are used more and more often. In order to work out the proper methodology of obtaining spectral reflectance coefficients from hyperspectral and multispectral images, it is necessary to verify the impact of cameras radiometric resolution on the accuracy of determination of them. This paper presents laboratory experiments that were conducted using two monochromatic XEVA video sensors (400–1700 nm spectral data registration) with two different radiometric resolutions (12 and 14 bits). In view of determining spectral characteristics from images, the research team used set of interferometric filters. All data collected with multispectral digital video cameras were compared with spectral reflectance coefficients obtained with spectroradiometer. The objective of this research is to find the impact of cameras radiometric resolution on reflectance values in chosen wavelength. The main topic of this study is the analysis of accuracy of spectral coefficients from sensors with different radiometric resolution. By comparing values collected from images acquired with XEVA sensors and with the curves obtained with spectroradiometer it's possible to determine accuracy of imagebased spectral reflectance coefficients and decide which sensor will be more accurate to determine them for protection of water aquatic environment purpose.
7
Marqués-Mateu, Á., M. Balaguer-Puig, H. Moreno-Ramón, and S. Ibáñez-Asensio. "A laboratory procedure for measuring and georeferencing soil colour." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 28, 2015): 57–64. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-57-2015.
Remote sensing and geospatial applications very often require ground truth data to assess outcomes from spatial analyses or environmental models. Those data sets, however, may be difficult to collect in proper format or may even be unavailable. In the particular case of soil colour the collection of reliable ground data can be cumbersome due to measuring methods, colour communication issues, and other practical factors which lead to a lack of standard procedure for soil colour measurement and georeferencing. In this paper we present a laboratory procedure that provides colour coordinates of georeferenced soil samples which become useful in later processing stages of soil mapping and classification from digital images. The procedure requires a laboratory setup consisting of a light booth and a trichromatic colorimeter, together with a computer program that performs colour measurement, storage, and colour space transformation tasks. Measurement tasks are automated by means of specific data logging routines which allow storing recorded colour data in a spatial format. A key feature of the system is the ability of transforming between physically-based colour spaces and the Munsell system which is still the standard in soil science. The working scheme pursues the automation of routine tasks whenever possible and the avoidance of input mistakes by means of a convenient layout of the user interface. The program can readily manage colour and coordinate data sets which eventually allow creating spatial data sets. All the tasks regarding data joining between colorimeter measurements and samples locations are executed by the software in the background, allowing users to concentrate on samples processing. As a result, we obtained a robust and fully functional computer-based procedure which has proven a very useful tool for sample classification or cataloging purposes as well as for integrating soil colour data with other remote sensed and spatial data sets.
8
de Moustier, C. "Approaches to Acoustic Backscattering Measurements From the Deep Seafloor." Journal of Energy Resources Technology 110, no. 2 (June 1, 1988): 77–84. http://dx.doi.org/10.1115/1.3231369.
Because the average ocean depth is four kilometers, seafloor investigations are mostly remote sensing operations. The primary means to determine the morphology, the structure, and the texture of the seafloor are acoustic. This paper considers the current seafloor remote sensing approaches involving acoustic backscattering. The physical constraints imposed by the ocean as a propagation medium, by the seafloor as a backscattering boundary, and by the measuring instruments are briefly reviewed. The sonar systems currently used by the oceanographic community for deep seafloor acoustic backscattering measurements deal with these constraints differently, depending on their specific application and on whether they are towed behind a ship or mounted on her hull. Towed sidescan systems such as Gloria II (U.K.), the Sea Mapping and Remote Characterization (Sea MARC) I and II, the Deep Tow system of the Marine Physical Laboratory (MPL), and hull-mounted systems, such as Swathmap all give a qualitative measure of backscattering by converting echo amplitudes to gray levels to produce a sidescan image of the seafloor. A new approach is presented which uses a Sea Beam multibeam echo-sounder to produce similar acoustic images. Quantitative measurements of backscattering have been attempted in recent experiments using the Deep Tow system and Sea Beam. Such measurements provide some insight into the geological processes responsible for the acoustic backscatter, with useful applications for geologists as well as designers and operators of bottom-interacting sonars.
9
Stevenson, C., and C. Prior. "Microscopic Analysis in Archaeology." MRS Bulletin 14, no. 3 (March 1989): 21–23. http://dx.doi.org/10.1557/s0883769400063132.
The papers in this edition of the MRS BULLETIN were among those presented during a workshop entitled “SAS Interfaces '87: Microscopy for the Archaeologist.” The workshop was sponsored by the Society for Archaeological Sciences at the 52nd annual meeting of the Society for American Archaeology held in Toronto, Ontario, May 1987. The Society for Archaeological Sciences is an interdisciplinary professional society for researchers involved in the broad spectrum of physical science applications to archaeology in order to promote interaction among scientists interested in different aspects of common research problems.Archaeometry, i.e., “archaeological science,” is concerned with the physical analysis of archaeological materials and the application of techniques from the laboratory sciences to the objectives and needs of archaeology. It includes such activities as compositional analysis, reconstruction of past technologies and processes, remote sensing, paleo-environmental reconstruction, and of course, isotopic and other chronometric dating methods. Such techniques alone, however, yield results that mean little without appropriate application to anthropological problems. The chief concern of archaeologists is to choose the most appropriate analysis method to achieve results that are useful in interpreting cultural behavior. To that end, laboratory analysts need to be aware of the interests and concerns of archaeologists, and archaeologists need to be able to understand the technical advances in archaeometry to incorporate them into their research.
10
Hosseiny, B., J. Amini, M. Esmaeilzade, and M. Nekoee. "RANGE MIGRATION ALGORITHM IN THE PROCESSING CHAIN OF SIGNALS OF A GROUND-BASED SAR SENSOR." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 18, 2019): 521–25. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-521-2019.
Abstract. Synthetic aperture radar (SAR) system based on frequency modulated continuous wave (FM-CW) transmission is a viable option for producing high-resolution ground-based imaging radars. Compared with pulsed SAR systems, the combination of FM-CW technology and SAR processing techniques have the advantages of small cubage, lightweight, cost-effectiveness, and high resolution in the SAR image. These characteristics make FM-CW SAR suitable to be deployed as payload on ground Based SARs (GB-SARs) for environmental and civilian applications. In this paper, the Range Migration Algorithm (RMA) is used in the processing chain of a Ground-Based SAR (GB-SAR) sensor. The mentioned sensor has been developed in Microwave Remote Sensing Laboratory (MReSL) at the School of Surveying and Geospatial Engineering, the University of Tehran for the generation of a complex image from the raw signal. The raw signal is acquired with that sensor working at S-band, frequency modulating from 2.26 GHz to 2.59 GHz.
You might also be interested in the extended bibliographies on the topic 'Environmental Remote Sensing Applications Laboratory' for particular source types:
Dissertations / Theses on the topic "Environmental Remote Sensing Applications Laboratory":
1
Philipson, née Ammenberg Petra. "Environmental Applications of Aquatic Remote Sensing." Doctoral thesis, Uppsala University, Centre for Image Analysis, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3328.
Many lakes, coastal zones and oceans are directly or indirectly influenced by human activities. Through the outlet of a vast amount of substances in the air and water, we are changing the natural conditions on local and global levels.
Remote sensing sensors, on satellites or airplanes, can collect image data, providing the user with information about the depicted area, object or phenomenon. Three different applications are discussed in this thesis. In the first part, we have used a bio-optical model to derive information about water quality parameters from remote sensing data collected over Swedish lakes. In the second part, remote sensing data have been used to locate and map wastewater plumes from pulp and paper industries along the east coast of Sweden. Finally, in the third part, we have investigated to what extent satellite data can be used to monitor coral reefs and detect coral bleaching.
Regardless of application, it is important to understand the limitations of this technique. The available sensors are different and limited in terms of their spatial, spectral, radiometric and temporal resolution. We are also limited with respect to the objects we are monitoring, as the concentration of some substances is too low or the objects are too small, to be identified from space. However, this technique gives us a possibility to monitor our environment, in this case the aquatic environment, with a superior spatial coverage. Other advantages with remote sensing are the possibility of getting updated information and that the data is collected and distributed in digital form and therefore can be processed using computers.
2
Philipson, Petra. "Environmental applications of aquatic remote sensing /." Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2003. http://publications.uu.se/theses/91-554-5542-5/.
Teterukovskiy, Alexei. "Computational statistics with environmental and remote sensing applications /." Umeå : Dept. of Forest Economics, Swedish Univ. of Agricultural Sciences, 2003. http://epsilon.slu.se/s277.pdf.
Yepes, Ana María. "Multilayer antenna arrays for environmental sensing applications." Thesis, Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34711.
Array antennas are used extensively in remote sensing applications, where a highly directive beam is needed to scan a particular area of interest on the surface of the earth. The research presented here focuses on the design of different microstrip patch antenna arrays to be used in environmental sensing applications in the X and Ka frequency bands, such as measurements in Snow and Cold Land Processes (SCLP) to detect snow accumulation, snow melt, etc. The goal of this research is to produce highly integrated, low loss, and compact size antenna arrays, while maintaining low power consumption. Multilayer organic (MLO) System-on-a-Package (SOP) technology, using laminates such as Liquid Crystal Polymer (LCP) and RT/Duroid®, provides a lightweight and low cost 3D solution for the fabrication of the antenna arrays.
The elements of the antenna arrays are rectangular patches. Two feeding mechanisms, aperture coupling and via feed, were implemented and compared. For the RF distribution network and interconnects, a corporate feed approach was used with reactive T-junctions, Wilkinson dividers, or both, for power division. The feed networks were designed using microstrip. The basic multilayer antenna array design consists of 3 layers of cladded laminate material. The metal layers are as follows: 1) patch antennas, 2) ground plane, 3) feed network, and 4) surface-mount components. The surface mount components would include LNA, PA, TR switch and phase shifter.
5
Reichle, Rolf H. (Rolf Helmut) 1968. "Variational assimilation of remote sensing data for land surface hydrologic applications." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/28220.
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2000. Includes bibliographical references (p. 283-192). Soil moisture plays a major role in the global hydrologic cycle. Most importantly, soil moisture controls the partitioning of available energy at the land surface into latent and sensible heat fluxes. We investigate the feasibility of estimating large-scale soil moisture profiles and related land surface variables from low-frequency (L-band) passive microwave remote sensing observations using weak-constraint variational data assimilation. We extend the iterated indirect representer method, which is based on the adjoint of the hydrologic model, to suit our application. The four-dimensional (space and time) data assimilation algorithm takes into account model and measurement uncertainties and provides optimal estimates by implicitly propagating the full error covariances. Explicit expressions for the posterior error covariances are also derived. We achieve a dynamically consistent interpolation and extrapolation of the remote sensing data in space and time, or equivalently, a continuous update of the model predictions from the data. Our hydrologic model of water and energy exchange at the land surface is expressly designed for data assimilation. It captures the key physical processes while remaining computationally efficient. The assimilation algorithm is tested with a series of experiments using synthetically generated system and measurement noise. In a realistic environment based on the Southern Great Plains 1997 (SGP97) hydrology experiment, we assess the performance of the algorithm under ideal and non ideal assimilation conditions. Specifically, we address five topics which are crucial to the design of an operational soil moisture assimilation system. (1) We show that soil moisture can be satisfactorily estimated at scales finer than the resolution of the brightness images (downscaling), provided sufficiently accurate fine-scale model inputs are available. (2) The satellite repeat cycle should be shorter than the average interstorm period. (3) The loss of optimality by using shorter assimilation intervals is offset by a substantial gain in computational efficiency. (4) Soil moisture can be satisfactorily estimated even if quantitative precipitation data are not available. (5) The assimilation algorithm is only weakly sensitive to inaccurate specification of the soil hydraulic properties. In summary, we demonstrate the feasibility of large-scale land surface data assimilation from passive microwave observations. by Rolf H. Reichle. Ph.D.
6
Nagler, Pamela Lynn. "Remote sensing applications: Environmental assessment of the Colorado River delta in Mexico." Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/279882.
The extent of revegetation in the Colorado River delta in Mexico is described, with emphasis on the return of native cottonwood (Populus fremontii ) and willow (Salix gooddingii) trees. Low-level aerial and satellite remote sensing methods were combined with ground surveys to census the vegetation in a 100 km reach of riparian corridor in Mexico. Although the invasive plant, saltcedar (Tamarix ramosissima), still dominates the riparian zone, native trees now account for 23% of the vegetation in the delta. Multi-band digital camera images obtained by aircraft were used to calculate the Normalized Difference Vegetation Index (NDVI) and scored for percent vegetation cover (NDVI:%C has r = 0.91***). A Thematic Mapper (TM) image taken concurrently with the aerial survey was similarly classified, and by comparing scenes on the TM and aerials, it was possible to calibrate NDVI with percent vegetation on the TM image. This information was used to conduct a change analysis relating flows in the Colorado River with summer vegetation patterns on TM images for the years 1992-1999. The results support the importance of pulse floods in restoring the ecological integrity of arid-zone rivers. This dissertation also compared transpiration rates of three Sonoran Desert riparian trees using sap flow and leaf temperature methods using constructed canopies (two of each species: Populus fremontii (cottonwood), Salix gooddingii (willow) and Tamarix ramosissima (saltcedar)) in an outdoor experiment in Tucson, Arizona. Canopies were measured over 11 days for both sap flow and canopy and air temperature differential (Tc-Ta) under non stressed and stressed conditions. Objective 1: to determine the strength of the relationship between transpiration (Et) and Tc-Ta to determine if Tc-Ta can be a useful remote sensing method to measure Et for these species. Objective 2: to compare Et rates among species, to determine if the invasive species, saltcedar, has higher Et rates or ecophysiological advantages over the native trees species. We conclude that the Tc-Ta method could be useful in estimating Et by remote sensing over riparian corridors, and that native trees are not at an ecophysiological disadvantage to saltcedar so long as sufficient non-saline soil moisture is available to support Et.
7
Yoshioka, Hiroki 1967. "Applications of transport theory in optical remote sensing of land surfaces." Diss., The University of Arizona, 1999. http://hdl.handle.net/10150/284824.
A particle/radiative transport theory widely used in nuclear engineering was applied to investigate photon transport in layers of land surfaces which consist of vegetation and soil for application to optical remote sensing. A numerical simulation code has been developed for three dimensional vegetation canopies to compute reflected radiation by the canopy-soil systems. The code solves a discretized form of the linear Boltzmann transport equation using an Adaptive Weighted Diamond-Differencing and source iteration method. Sample problems demonstrate variations of reflectance spectra of vegetation canopies as a function of soil brightness and leaf area index, and also indicate a pattern of spectral variations induced by the soil brightness changes. Special attention has been paid to the variation patterns of canopy reflectances, known as vegetation isolines. Mathematical expressions of vegetation isolines, called vegetation isoline equations, are derived in terms of canopy optical properties and two parameters that characterize soil optical properties called soil line parameters. Behavior of vegetation isolines is analyzed using the derived equations as a function of leaf area index and fractional area covered by green-vegetation. The analyses show certain trends of the behavior of vegetation isolines. The vegetation isoline equations are then applied to investigate the performance of two-band vegetation indices and to estimate the effects of the soil line parameters. It is concluded that the vegetation isoline equations are useful for investigating patterns of canopy reflectance variations and the effects of these patterns on vegetation indices.
8
Loew, Teagan K. "Improvement to Total Maximum Daily Load (TMDL) Measurements and Monitoring by Satellite Remote Sensing Applications." Bowling Green State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1333388592.
Moyer, Nathan Aaron. "An Internship with the BioSAR TM Project, Oak Ridge National Laboratory, Oak Ridge, TN." Miami University / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=miami1064866738.
-, Tarunamulia Biological Earth & Environmental Sciences Faculty of Science UNSW. "Application of fuzzy logic, GIS and remote sensing to the assessment of environmental factors for extensive brackishwater aquaculture in Indonesia." Publisher:University of New South Wales. Biological, Earth & Environmental Sciences, 2008. http://handle.unsw.edu.au/1959.4/41444.
Extensive brackishwater aquaculture, which is a dominant land-based aquaculture system in Indonesia, has experienced variable success in most farming locations in the country due to poor understanding of spatial assessment of environmental factors and rudimentary site selection criteria. Despite tremendous potential, the application of GIS and remote sensing in spatial assessment has tended to focus on Boolean (Crisp) logic that is often unable to effectively handle the complexity and spatial variability of key environmental factors for the development of aquaculture. This study explored the possibility of integrating fuzzy logic techniques into GIS and remote sensing technology to generate more robust mapping protocols in aquaculture, compensating for the disadvantages of the Crisp method. Two models were developed in two different provinces in Indonesia to spatially assess soil and hydrological constraints on extensive brackishwater aquaculture. The soil assessment focussed on acid sulfate soils (ASS) and sandy-textured sediments in Aceh, and the hydrological study focused on investigating important wave parameters that influence the suitability of coastal areas for siting extensive pond units in South Sulawesi. The study showed that fuzzy-based classification methods, integrated into the image analysis, was highly effective in identifying existing and potential pond areas for extensive brackishwater aquaculture compared to the best result of the commonly used Crisp method. By addition of one or more key environmental variables of ASS into the fuzzy-classified existing and potential ponds areas, a very robust predictive tool to identify potential ponds areas affected by ASS in Kembang Tanjung, Aceh was developed. A more detailed assessment of ASS developed in this study also successfully highlighted the severity of sandy-soils and identified them as another key soil variable that has and will severely impact on pond productivity. The second model developed by the study enables fuzzy logic to be integrated into GIS to predict the possible areas impacted by moderate to high energy wave conditions and possible ways of minimising their direct and indirect impacts. The models developed in this study were shown to work well in both study sites and can be applied elsewhere. The mapping outputs are easy to interpret even by stakeholders with no prior training in map reading. Overall, the models have the potential to reduce planning errors and to improve decision making in aquaculture provided that quality data sources are used.
Sameena, M. State remote sensing applications centres: Activities and accomplishments. Bangalore: National Natural Resources Management System, Dept. of Space, 2008.
Adeniyi, P. O. Geoinformation technology applications for resource and environmental management in Africa. Lagos: African Association of Remote Sensing of the Environment, 1999.
Sensing, United States Bureau of Land Management Denver Service Center Branch of Remote. Rangeland inventory and monitoring: Selected bibliography of remote sensing applications. Denver, Colo: U.S. Bureau of Land Management, Denver Service Center, 1986.
Symposium, EARSeL. Progress in environmental remote sensing research and applications: Proceedings of the 15th EARSeL Symposium, Basel, Switzerland, 4-6 September 1995. Rotterdam: A.A. Balkema, 1996.
Michel, Ulrich. Earth resources and environmental remote sensing/gis applications: 21-23 September 2010, Toulouse, France. Edited by SPIE (Society) and European Association of Remote Sensing Companies. Bellingham, Wash: Spie, 2010.
Michel, Ulrich, and Daniel L. Civco. Earth resources and environmental remote sensing/GIS applications II: 20-22 September 2011, Prague, Czech Republic. Edited by SPIE (Society), European Optical Society, and Remote Sensing and Photogrammetry Society. Bellingham, Wash: SPIE, 2011.
Book chapters on the topic "Environmental Remote Sensing Applications Laboratory":
1
Rao, P. Krishna, Susan J. Holmes, Ralph K. Anderson, Jay S. Winston, and Paul E. Lehr. "Remote Sensing Instrumentation." In Weather Satellites: Systems, Data, and Environmental Applications, 105–17. Boston, MA: American Meteorological Society, 1990. http://dx.doi.org/10.1007/978-1-944970-16-1_11.
Rao, P. Krishna, Susan J. Holmes, Ralph K. Anderson, Jay S. Winston, and Paul E. Lehr. "Characteristics of Remote Sensing." In Weather Satellites: Systems, Data, and Environmental Applications, 23–29. Boston, MA: American Meteorological Society, 1990. http://dx.doi.org/10.1007/978-1-944970-16-1_3.
Shokr, Mohammed E. "Radar Remote Sensing Applications in Egypt." In Environmental Remote Sensing in Egypt, 127–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39593-3_5.
Nasr, Mahmoud, Salwa F. Elbeih, Abdelazim M. Negm, and Andrey Kostianoy. "Overview for Recent Applications of Remote Sensing in Egypt." In Environmental Remote Sensing in Egypt, 13–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39593-3_2.
Shokr, Mohammed E. "Environmental Applications of Remote Sensing in Egypt: A Review and an Outlook." In Environmental Remote Sensing in Egypt, 95–126. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39593-3_4.
Drouin, Brian J. "Rotational Spectroscopy at the Jet Propulsion Laboratory." In Remote Sensing of the Atmosphere for Environmental Security, 257–69. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/978-1-4020-5090-9_16.
Urai, Minoru, and David Pieri. "ASTER Applications in Volcanology." In Land Remote Sensing and Global Environmental Change, 245–72. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6749-7_12.
Shkvarko, Yuriy, Stewart Santos, and Jose Tuxpan. "Intelligent Experiment Design-Based Virtual Remote Sensing Laboratory." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 1021–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10268-4_119.
Crosson, William, Ali Akanda, Pietro Ceccato, Sue M. Estes, John A. Haynes, David Saah, Thomas Buchholz, et al. "Use of Remotely Sensed Climate and Environmental Information for Air Quality and Public Health Applications." In Springer Remote Sensing/Photogrammetry, 173–205. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33438-7_7.
Alshujairy, Qassim A. Talib, and Nooruldeen Shawqi Ali. "Proximal Soil Sensing Applications in Soil Fertility." In Environmental Remote Sensing and GIS in Iraq, 119–57. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21344-2_6.
Conference papers on the topic "Environmental Remote Sensing Applications Laboratory":
1
García-Meléndez, Eduardo, Esther Carrillo, Raimon Pallàs, Maria Ortuño, Montserrat Ferrer-Julià, Eulàlia Masana, and Elena Colmenero-Hidalgo. "Laboratory and field reflectance spectroscopy as a tool for sedimentary correlations in Paleoseismology." In Earth Resources and Environmental Remote Sensing/GIS Applications XII, edited by Karsten Schulz, Konstantinos G. Nikolakopoulos, and Ulrich Michel. SPIE, 2021. http://dx.doi.org/10.1117/12.2600280.
Cruz, Juncal A., Ismael Coronado, Montserrat Ferrer-Julià, Lourdes Fernández-Díaz, Eduardo Garcia-Melendez, Elena Colmenero-Hidalgo, and E. Fernández-Martínez. "Application of laboratory reflectance spectroscopy in the characterization of uranium-bearing minerals associated with fossils remains." In Earth Resources and Environmental Remote Sensing/GIS Applications XII, edited by Karsten Schulz, Konstantinos G. Nikolakopoulos, and Ulrich Michel. SPIE, 2021. http://dx.doi.org/10.1117/12.2600332.
Cardoso-Fernandes, Joana, João Silva, Alexandre Lima, Ana Claudia Teodoro, Monica Perrotta, Jean Cauzid, and Encarnacion Roda-Robles. "Characterization of lithium (Li) minerals from the Fregeneda-Almendra region through laboratory spectral measurements: a comparative study." In Earth Resources and Environmental Remote Sensing/GIS Applications XI, edited by Karsten Schulz, Konstantinos G. Nikolakopoulos, and Ulrich Michel. SPIE, 2020. http://dx.doi.org/10.1117/12.2573941.
Fu, Thomas C., Anne M. Fullerton, and David A. Drazen. "Free-Surface Measurements in a Tow Tank Using LiDAR." In ASME 2009 Fluids Engineering Division Summer Meeting. ASMEDC, 2009. http://dx.doi.org/10.1115/fedsm2009-78464.
Light Detection and Ranging, or LiDAR, is a remote sensing technique that can be utilized to collect topographic data. These systems have been used extensively to measure open ocean and ship generated waves. Recently LiDAR systems have been used to measure the transom wave of the R/V Athena I and ambient ocean waves. This work has primarily focused on providing the time averaged, and spectral content of the wave field, by scanning the laser to measure wave profiles evolving in time. This paper describes recent efforts to utilize LIDAR systems to measure free-surface elevations in laboratory tow tanks. LiDAR measurements are limited to the white-water breaking regions of the flow, due to the limited strength of the signal return from non-breaking regions. In extending LiDAR measurements to a laboratory tow tank environment the lack of surface roughness and hence the lack of surface light scatterers needed to be addressed. A number of laboratory measurement applications will be described including a tow tank measurement similar to the R/V Athena I effort, and also measurement of regular and irregular breaking waves.
5
Mosebach, Herbert W., T. Eisenmann, Y. Schulz-Spahr, I. Neureither, Hermann Bittner, Harald Rippel, Klaus Schaefer, Dieter Wehner, and Rainer Haus. "Remote sensing of smokestack emissions using a mobile environmental laboratory." In Environmental Sensing '92, edited by Joseph J. Santoleri. SPIE, 1993. http://dx.doi.org/10.1117/12.140298.
Tsai, Hanchung, Yung Y. Liu, Mark Nutt, and James Shuler. "Advanced Surveillance Technologies for Used Fuel Long-Term Storage and Transportation." In ASME 2011 14th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2011. http://dx.doi.org/10.1115/icem2011-59032.
Utilities worldwide are using dry-cask storage systems to handle the ever-increasing number of discharged fuel assemblies from nuclear power plants. In the United States and possibly elsewhere, this trend will continue until an acceptable disposal path is established. The recent Fukushima nuclear power plant accident, specifically the events with the storage pools, may accelerate the drive to relocate more of the used fuel assemblies from pools into dry casks. Many of the newer cask systems incorporate dual-purpose (storage and transport) or multiple-purpose (storage, transport, and disposal) canister technologies. With the prospect looming for very long term storage — possibly over multiple decades — and deferred transport, condition- and performance-based aging management of cask structures and components is now a necessity that requires immediate attention. From the standpoint of consequences, one of the greatest concerns is the rupture of a substantial number of fuel rods that would affect fuel retrievability. Used fuel cladding may become susceptible to rupture due to radial-hydride-induced embrittlement caused by water-side corrosion during the reactor operation and subsequent drying/transfer process, through early stage of storage in a dry cask, especially for high burnup fuels. Radio frequency identification (RFID) is an automated data capture and remote-sensing technology ideally suited for monitoring sensitive assets on a long-term, continuous basis. One such system, called ARG-US, has been developed by Argonne National Laboratory for the U.S. Department of Energy’s Packaging Certification Program for tracking and monitoring drums containing sensitive nuclear and radioactive materials. The ARG-US RFID system is versatile and can be readily adapted for dry-cask monitoring applications. The current built-in sensor suite consists of seal, temperature, humidity, shock, and radiation sensors. With the universal asynchronous receiver/transmitter interface in the tag, other sensors can be easily added as needed. The system can promptly generate alarms when any of the sensor thresholds are violated. For performance and compliance records, the ARGUS RFID tags incorporate nonvolatile memories for storing sensory data and history events. Over the very long term, to affirmatively monitor the condition of the cask interior (particularly the integrity of cover gas and fuel-rod cladding), development of enabling technologies for such monitoring would be required. These new technologies may include radiation-hardened sensors, in-canister energy harvesting, and wireless means of transmitting the sensor data out of the canister/cask.
7
Tramutoli, Valerio. "Robust AVHRR techniques (RAT) for environmental monitoring: theory and applications." In Remote Sensing, edited by Giovanna Cecchi and Eugenio Zilioli. SPIE, 1998. http://dx.doi.org/10.1117/12.332714.
Mason, David C., David M. Cobby, and Ian J. Davenport. "Image processing of airborne scanning laser altimetry for some environmental applications." In Remote Sensing, edited by Sebastiano B. Serpico. SPIE, 1999. http://dx.doi.org/10.1117/12.373243.
Frouin, Robert, Pierre-Yves Deschamps, and François Steinmetz. "Environmental effects in ocean color remote sensing." In SPIE Optical Engineering + Applications, edited by Robert J. Frouin. SPIE, 2009. http://dx.doi.org/10.1117/12.829871.
Kafatos, Menas, Hesham El-Askary, Long S. Chiu, Richard B. Gomez, Mohamed Hegazy, Jason M. Kinser, Xue Liu, et al. "Remote sensing and GIS for regional environmental applications." In International Symposium on Remote Sensing, edited by Manfred Ehlers. SPIE, 2003. http://dx.doi.org/10.1117/12.463316.
Reports on the topic "Environmental Remote Sensing Applications Laboratory":
1
Bolton, W., M. Lapp, J. Jr Vitko, and G. Phipps. Environmental monitoring: civilian applications of remote sensing. Office of Scientific and Technical Information (OSTI), November 1996. http://dx.doi.org/10.2172/506899.
Lal, Anisha M., Ali A. Abdulla, and Aju Dennisan. Remote Sensing Image Restoration for Environmental Applications Using Estimated Parameters. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, August 2018. http://dx.doi.org/10.7546/crabs.2018.08.11.
