Relevant bibliographies by topics / Aerial photography Landsat satellites

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Academic literature on the topic 'Aerial photography Landsat satellites'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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Journal articles on the topic "Aerial photography Landsat satellites"

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Umarhadi, Deha Agus, and Projo Danoedoro. "Comparing canopy density measurement from UAV and hemispherical photography: an evaluation for medium resolution of remote sensing-based mapping." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1 (February 1, 2021): 356. http://dx.doi.org/10.11591/ijece.v11i1.pp356-364.

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UAV and hemispherical photography are common methods used in canopy density measurement. These two methods have opposite viewing angles where hemispherical photography measures canopy density upwardly, while UAV captures images downwardly. This study aims to analyze and compare both methods to be used as the input data for canopy density estimation when linked with a lower spatial resolution of remote sensing data i.e. Landsat image. We correlated the field data of canopy density with vegetation indices (NDVI, MSAVI, and AFRI) from Landsat-8. The canopy density values measured from UAV and hemispherical photography displayed a strong relationship with 0.706 coefficient of correlation. Further results showed that both measurements can be used in canopy density estimation using satellite imagery based on their high correlations with Landsat-based vegetation indices. The highest correlation from downward and upward measurement appeared when linked with NDVI with a correlation of 0.962 and 0.652, respectively. Downward measurement using UAV exhibited a higher relationship compared to hemispherical photography. The strong correlation between UAV data and Landsat data is because both are captured from the vertical direction, and 30 m pixel of Landsat is a downscaled image of the aerial photograph. Moreover, field data collection can be easily conducted by deploying drone to cover inaccessible sample plots.
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Amos, E. M., D. Blakeway, and C. D. Warren. "Remote Sensing Techniques in Civil Engineering Surveys." Geological Society, London, Engineering Geology Special Publications 2, no. 1 (1986): 119–24. http://dx.doi.org/10.1144/gsl.1986.002.01.26.

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AbstractThis paper outlines selected remote sensing techniques and their application to civil engineering surveys.In BS 5930, emphasis has been placed on the interpretation of black and white aerial photography to provide information. However, other techniques such as true colour and false colour infrared photography, thermal infrared, radar and landsat satellite imagery may be useful in appropriate applications.
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Vásconez, Norma Lara, and Hernán Chamorro Sevilla. "Uso De Los Sensores Remotos En Mediciones Forestales." European Scientific Journal, ESJ 14, no. 15 (May 31, 2018): 58. http://dx.doi.org/10.19044/esj.2018.v14n15p58.

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To understand the use of remote sensors in forestry measurements, some of the most relevant definitions have been taken from a wide variety that currently exist, therefore, we will say that these generally play a predominant role in the Dasometry and that all The forest resource requires qualitative and quantitative information regarding the state of the forest and its evolution over time, with sampling that follows one of the existing methods. Historically, modern discipline arises with the invention of flight and the first photographs are obtained from a balloon in the years 1858 and 1859, in 1909 and on board the airplane the first photographic observation is acquired. The first aerial camera was developed in 1915 by J.T.C. Moore, starting the interesting way forward in the techniques of aerial photography using modified combat aircraft giving way to what was called systematic aerial photography in the late 50s. The development on a global scale of the first artificial satellites, allowed remote sensing in the middle of the 20th century on board the first satellite placed in orbit is that of the TYROS series in 1960 by NASA, becoming the pioneer in missions of meteorological observation, which also led to the appearance of satellite image processing, using mathematical procedures such as the Fourier transform. During the 70s missions were promoted with the objective of exploring the solar system and the moon; giving rise to the first spatial photographs taken by Alan B. Shepard rudimentary, Subsequently, Apollo-9 was used for the first multi-spectral experiment in which 4 Hasselblad cameras with different filters were installed. On July 23, 1972, the Landsat project appeared with the launch of the first satellite of the ERTS series (Earth Resources Technology Satellite). Google Earth in the 21st century, introduces online web services making remote sensing accessible to all audiences, with many techniques and processes that allow an image of the earth's surface to be obtained remotely captured by remote sensors located on satellites or airplanes that gather the spectral and spatial relations of objects. Interferometric radar synthetic aperture They are used to producing accurate digital models of large areas of land. LiDAR(An acronym for the English Light Detection and Ranging) is a monochrome active sensor, its mode of operation consists of measuring the distance between the sensor and the target. It is less expensive compared to manual inventory is multi-purpose, allows a complete survey of the study area, is more efficient than photogrammetry. The multi-spectral acquisition is based on the collection and analysis of areas or objects that emit or reflect radiation at a higher level than nearby objects. The quality of the information collected remotely, once the correction of errors through georeferencing with the help of specialized programs, will depend on their resolutions: spatial, spectral, radiometric and temporal.
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Ndalila, Mercy N., Grant J. Williamson, and David M. J. S. Bowman. "Geographic Patterns of Fire Severity Following an Extreme Eucalyptus Forest Fire in Southern Australia: 2013 Forcett-Dunalley Fire." Fire 1, no. 3 (October 22, 2018): 40. http://dx.doi.org/10.3390/fire1030040.

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Fire severity is an important characteristic of fire regimes; however, global assessments of fire regimes typically focus more on fire frequency and burnt area. Our objective in this case study is to use multiple lines of evidence to understand fire severity and intensity patterns and their environmental correlates in the extreme 2013 Forcett-Dunalley fire in southeast Tasmania, Australia. We use maximum likelihood classification of aerial photography, and fire behavior equations, to report on fire severity and intensity patterns, and compare the performance of multiple thresholds of the normalised burn ratio (dNBR) and normalized difference vegetation index (dNDVI) (from pre- and post-fire Landsat 7 images) against classified aerial photography. We investigate how vegetation, topography, and fire weather, and therefore intensity, influenced fire severity patterns. According to the aerial photographic classification, the fire burnt 25,950 ha of which 5% burnt at low severities, 17% at medium severity, 32% at high severity, 23% at very high severities, while 22% contained unburnt patches. Generalized linear modelling revealed that fire severity was strongly influenced by slope angle, aspect, and interactions between vegetation type and fire weather (FFDI) ranging from moderate (12) to catastrophic (>90). Extreme fire weather, which occurred in 2% of the total fire duration of the fire (16 days), caused the fire to burn nearly half (46%) of the total area of the fireground and resulted in modelled extreme fireline intensities among all vegetation types, including an inferred peak of 68,000 kW·m−1 in dry forest. The best satellite-based severity map was the site-specific dNBR (45% congruence with aerial photography) showing dNBR potential in Eucalyptus forests, but the reliability of this approach must be assessed using aerial photography, and/or ground assessment.
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ΑΣΤΑΡΑΣ, Θ., Δ. ΟΙΚΟΝΟΜΙΔΗΣ, and Α. ΜΟΥΡΑΤΙΔΗΣ. "Η συμβολή των δορυφορικών πολυφασματικών εικόνων στη Γεωμορφολογία, από τη δεκαετία του 70 (δορυφόροι LANDSAT) μέχρι σήμερα (δορυφόροι IKONOS, QuickBird). Παραδείγματα από την Ελλάδα." Bulletin of the Geological Society of Greece 38 (September 10, 2005): 157. http://dx.doi.org/10.12681/bgsg.18435.

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This paper describes initially the availability of multispectral satellite images, from the launch of the first Earth Resources Satellites (Landsat series), with medium resolution capabilities (80m), to the launch of the contemporary satellites (QuickBird, 2001), with very high resolution capabilities (60cm). It reviews researches, concerning the visual and digital image analyses of the LANDSAT series, SPOT, 1RS, TERRA and QuickBird satellite images that have been carried out during the last 20 years in the Department of Physical and Environmental Geography, School of Geology, Aristotle University of Thessaloniki. These researches are of geomorphological-geological interest and involve applications in various areas of Greece. In particular, practical examples are provided, concerning the detection and delineation of landslides in Macedonia and Epirus Provinces, the detection and classification of geomorphological units (land systems) in Peloponnesos, Thrace, Macedonia and Santorini areas and the analysis of drainage network in Central Macedonia Province with emphasis in the delineation of severe erosional phenomena. Reason for this review paper, is the contemporary use of Digital Elevation Models (DEMs) with 10-30 m accuracy, from the Shuttle Radar Topography Mission (SRTM / 2000) and their contribution, along with the high resolution satellite images, (from TERRA, QuickBird, etc), in the 3-D visualization of the Earths' relief. In particular, the use of 3-D satellite images will assist geoscientists and especially geomorphologists, to study the Earths' relief and its' evolution, more quickly, with better accuracy and at lower cost, compared with aerial photographs and 2-D satellite images, which have been used during the last 20 years.
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Salama, R. B., I. Tapley, T. Ishii, and G. Hawkes. "Identification of areas of recharge and discharge using Landsat-TM satellite imagery and aerial photography mapping techniques." Journal of Hydrology 162, no. 1-2 (October 1994): 119–41. http://dx.doi.org/10.1016/0022-1694(94)90007-8.

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Casassa, Gino, Katrine Smith, Andrés Rivera, José Araos, Michael Schnirch, and Christoph Schneider. "Inventory of glaciers in isla Riesco, Patagonia, Chile, based on aerial photography and satellite imagery." Annals of Glaciology 34 (2002): 373–78. http://dx.doi.org/10.3189/172756402781817671.

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AbstractA glacier inventory for península Córdova, isla Riesco, Chilean Patagonia (53°14’ S, 73°00’W), has been compiled based on stereoscopic interpretation of aerial photographs of March and December 1984 and 1:100 000 topographic maps. Three small icefields comprising 33 glacier outlets, in addition to 12 small separate glaciers, have been identified, with a total area of 57 km2. Glaciers are located on mountain peaks with a maximum altitude of 1183 mand a lowermost elevation of 100 m. All glaciers terminate on land, except for three glaciers calving into small fresh-water lakes. A Landsat Thematic Mapper (TM) image of 6 October 1986 has been rectified and analyzed using a supervised classification to estimate snow- and glacier-covered surfaces. Glacier-area data derived from satellite-image analyses have been adjusted at península Córdova using photo-interpreted data, and extrapolated to estimate a glacier area of 215 ±40km2 for all of isla Riesco. The presence of trimlines and moraines beyond the present position of the glaciers indicates a generalized retreat from a maximum neoglacial position at península Córdova, most probably as a result of regional warming and precipitation decrease observed during the last century.
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Harvey, Kylie R., and Greg J. E. Hill. "Mapping the nesting habitats of saltwater crocodiles (Crocodylus porosus) in Melacca Swamp and the Adelaide River wetlands, Northern Territory: an approach using remote sensing and GIS." Wildlife Research 30, no. 4 (2003): 365. http://dx.doi.org/10.1071/wr00008.

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The utility of integrating remotely sensed data and other spatial information in a geographical information system (GIS) to model habitat suitability for nesting by saltwater crocodiles (Crocodylus porosus) was investigated in this study. The study areas, Melacca Swamp and the Adelaide River wetlands, are located 50 km east of Darwin, Northern Territory, and encompass areas of suitable nesting habitat for C. porosus. Melacca Swamp is a highly productive nesting area and is managed as a conservation reserve to protect its nesting habitat. Landsat TM, SPOT satellite imagery and large-scale colour aerial photography were evaluated for their utility in mapping habitats preferred for nesting by C. porosus within Melacca Swamp. Satellite imagery was capable of identifying generalised habitat classes used for nesting (e.g. open swamp with emergent trees). However, it was only with aerial photography that habitats could be discerned (e.g. sedges with scattered Melaleuca trees). Spatial information derived from satellite imagery and other sources was integrated in a GIS to model potentially suitable nesting habitat along the Adelaide River. This methodology effectively identified known preferred nesting areas of C. porosus on the basis of the analysis of environmental parameters (i.e. distance to water, vegetation type) that have an influence on selection of nesting habitat. The findings of this research demonstrate the utility of remote sensing and GIS for mapping nesting habitat of C. porosus at a range of scales and provide guidelines for application of the approaches used at the regional or State level.
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Drury, S. A. "SPOT image data as an aid to structural mapping in the southern Aravalli Hills of Rajasthan, India." Geological Magazine 127, no. 3 (May 1990): 195–207. http://dx.doi.org/10.1017/s0016756800014485.

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AbstractThe 10 to 20 m resolution of SPOT image data, together with their potential for stereoscopic viewing, provides an excellent base for geological mapping inremote and rugged terrain that is akin to high-level aerial photographs. Their large format (60 × 60 km) also gives the advantage of synoptic coverage that ranks with images from the Landsat series of satellites. Use of stereo pairs of single-band SPOT images has enabled some revision of existing geological maps of the southern Aravalli Hills in Rajasthan at a scale of 1:100000, and has added significantly to knowledge of their complex mid-Proterozoic structure. In particular, many possibly early low-angled faults have been discovered, together with the tectonic nature of a major terrain boundary and much detail of intricate structures has been added in the more remote areas. The potentialfor lithological discrimination of multispectral SPOT data is severely limited by its restricted coverage of geologically important spectral features, and it is far surpassed by that of Landsat Thematic Mapper data, which would have been capable of more comprehensive lithofacies reconnaissance, had they been available.
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Dietler, Dominik, Andrea Farnham, Kees de Hoogh, and Mirko S. Winkler. "Quantification of Annual Settlement Growth in Rural Mining Areas Using Machine Learning." Remote Sensing 12, no. 2 (January 9, 2020): 235. http://dx.doi.org/10.3390/rs12020235.

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Studies on annual settlement growth have mainly focused on larger cities or incorporated data rarely available in, or applicable to, sparsely populated areas in sub-Saharan Africa, such as aerial photography or night-time light data. The aim of the present study is to quantify settlement growth in rural communities in Burkina Faso affected by industrial mining, which often experience substantial in-migration. A multi-annual training dataset was created using historic Google Earth imagery. Support vector machine classifiers were fitted on Landsat scenes to produce annual land use classification maps. Post-classification steps included visual quality assessments, majority voting of scenes of the same year and temporal consistency correction. Overall accuracy in the four studied scenes ranged between 58.5% and 95.1%. Arid conditions and limited availability of Google Earth imagery negatively affected classification accuracy. Humid study sites, where training data could be generated in proximity to the areas of interest, showed the highest classification accuracies. Overall, by relying solely on freely and globally available imagery, the proposed methodology is a promising approach for tracking fast-paced population dynamics in rural areas where population data is scarce. With the growing availability of longitudinal high-resolution imagery, including data from the Sentinel satellites, the potential applications of the methodology presented will further increase in the future.
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Dissertations / Theses on the topic "Aerial photography Landsat satellites"

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Rengel-Aviles, Luis E. "Visual landsat analysis in land cover inventory in a topical country (Venezuela)." Virtual Press, 1986. http://liblink.bsu.edu/uhtbin/catkey/454814.

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The purpose of this study was to evaluate three sources of geographical information, False Color Composite, Band 5 and Band 7 images of Satellite LANDSAT-2, applied in the detection and delimitation of land cover areas in a case study in the Republic of Venezuela. Previous bibliographic references stated the existence of deciduous, semi-deciduous and evergreen woody vegetation communities in different stages of openess (forest, woodlands, shrublands and thickets) and grasslands, in addition to some kinds of tropical agricultural practices (grazing and cropping areas). The identification of these land cover types was accomplished by visual discrimination of colors in the FCC image and of tones in the Bands 5 and 7. FCC image gave the most complete identification of vegetation communities, agricultural practices and burned areas. Band 7 provided the most accurate delimination of burned areas, water bodies and evergreen forest. Band 5 permited the clearest identification of stages of openess in the vegetation.
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Metzler, Jacob W. "Use of Multi-temporal IKONOS and LANDSAT ETM+ Satellite Imagery to Determine Forest Stand Conditions in Northern Maine." Fogler Library, University of Maine, 2004. http://www.library.umaine.edu/theses/pdf/MetzlerJW2004.pdf.

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BARKEY, ROLAND ALEXANDER. "Etudes des mangroves de l'indo-malaisie et application des techniques de la teledetection a sulawesi." Toulouse 3, 1987. http://www.theses.fr/1987TOU30228.

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L'objet de cette recherche est de tenter de caracteriser les mangroves des regions equatoriales humides sur le terrain et a partir d'enregistrements spatiaux. Dans la premiere partie, une synthese biogeographique sur les peuplements de paletuviers permet de faire apparaitre et de comprendre les variations des types de mangroves et de situer les mangroves indonesiennes dans un contexte plus general. La deuxieme partie represente une etude sur les mangroves du golfe de bone a sulawesi (indonesie)
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Gallie, Elizabeth Ann. "Chromaticity analysis of LANDSAT Multispectral Scanner and Thematic Mapper imagery of Chilko Lake, British Columbia, using a theoretical optical water quality model." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/30572.

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Chromaticity analysis of LANDSAT Multispectral Scanner (MSS) imagery of Chilko Lake, B.C. reveals a. locus whose shape has not been previously reported. To investigate the cause of this and to come to a broader understanding of chromaticity analysis for MSS and Thematic Mapper (TM) data, an optical water quality model has been used. The model is composed of a four component reflectance model (R-model), an interface model and an atmospheric model. The R-model was calibrated for Chilko Lake by determining the specific absorption and backscattering spectra for suspended minerals (SM), chlorophyll-a uncorrected for phaeophytins (C) and yellow substance (YS). The fourth component is water. The model reproduces the observed locus shape and indicates that it is primarily a function of SM, with the unreported lower limb on MSS imagery caused by SM gradients with concentrations less than 1-2 mg/L. The effects of C, YS and SM cannot be separated on plots of chromaticity coordinates X and Y for either MSS or TM data. In addition, haze or wind gradients, if they occur over water with low levels of SM, would look similar to the lower limb on MSS XY plots. However, if brightness is used in combination with X, the model predicts that C and YS, though themselves inseparable, can be differentiated from SM at all but the lowest concentrations of SM. Furthermore, haze and wind gradients can be distinguished from the lower limb. Thus the addition of brightness to chromaticity analysis has the potential to significantly improve the technique. The model was tested by comparing simulated chromaticity results with results from actual images (one TM image and three MSS images) for which ground truth had been collected. Qualitative predictions regarding haze and water quality patchiness were confirmed. Correlation analysis with R² values from 0.81 to 0.95 also strongly confirmed predictions regarding SM, but showed that the model is systematically underestimating SM. Correlation tests for a combined C and YS factor (CYS) were inconclusive because of the systematic modeling error, but classification maps provide weak evidence that CYS is behaving qualitatively as predicted and that CYS can be differentiated from SM. The modeling error is thought to originate in atmospheric assumptions which are not met. The R-model which is fundamental to the study has been tested and is not a major source of error. The study concludes that the model is qualitatively correct and that the use of brightness improves chromaticity analysis by allowing separation of CYS and SM, though further work should be undertaken to verify these results. Maps of CYS and SM in Chilko Lake reveal that CYS tends to be higher along the western shore and where the hypolimnion is exposed. SM are highest near stream mouths. The distribution patterns are related to physical processes within the lake and provide a synoptic view of the connection between water quality parameters and circulation which would be difficult to achieve in any other way.
Forestry, Faculty of
Graduate
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Sumerling, Gordon. "Detection of vegetation cover densities using Landsat Thematic Mapper : a study of the vegetation cover densities of Sir Richard Peninsula using both aerial photography and Landsat Thematic Mapper data /." Title page, table of contents and abstract only, 1990. http://web4.library.adelaide.edu.au/theses/09AR/09ars9544.pdf.

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Musa, Khalid Bin. "Identifying Land Use Changes and It's Socio-Economic Impacts : A Case Study of Chacoria Sundarban in Bangladesh." Thesis, Linköping : Linköping University. Department of Computer and Information Science, 2008. http://www.diva-portal.org/smash/get/diva2:2076/FULLTEXT03.

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Silva, Hugo Amancio Sales [UNESP]. "Dinâmica da paisagem na microbacia hidrográfica do rio Mojuí, oeste do estado do Pará." Universidade Estadual Paulista (UNESP), 2013. http://hdl.handle.net/11449/93827.

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Made available in DSpace on 2014-06-11T19:26:47Z (GMT). No. of bitstreams: 0 Previous issue date: 2013-08-02Bitstream added on 2014-06-13T20:15:44Z : No. of bitstreams: 1 000755428.pdf: 1772727 bytes, checksum: 25340537986dda5d7885dbce168e3429 (MD5)
Atualmente, as questões conservacionistas têm sido discutidas com grande ênfase pela sociedade em geral, principalmente sobre a paisagem amazônica. Dentro desse contexto está a bacia hidrográfica do rio Mojuí, localizada nos municípios de Santarém e Belterra, no estado do Pará. Esta vem sofrendo constantes explorações dos seus recursos naturais, principalmente devido à conversão de áreas com florestas em áreas agrícolas, principalmente para cultivo da soja. O objetivo deste trabalho foi caracterizar, mapear e quantificar, em escala de semi detalhe, as áreas das classes de cobertura vegetal e uso da terr0a no período de 11 anos, com o uso de imagens LANDSAT, órbita/ pontos 227/62, bandas TM 3, 4 e 5, referentes aos anos de 1999, 2005 e 2010, a dinâmica da paisagem na região. A seleção das imagens foi determinada considerando-se o período climático semelhante, com as mesmas circunstâncias de iluminação e cobertura de nuvens. Os limites da bacia foram estabelecidos pelos divisores topográficos que formam a área que drena para um ponto específico. Baseando-se nos dados obtidos no levantamento de campo e com o suporte da fotointerpretação das cenas dos sensores nos anos estabelecidos pela pesquisa, foi definida uma legenda temática para classificação da vegetação e uso do solo na bacia, sendo identificadas sete formas de coberturas vegetais e uso do solo na área de abrangência da bacia. Foram estabelecidas as seguintes classes de cobertura do solo...
Currently, conservation issues have been discussed with great emphasis by society in general, especially on the Amazon landscape. Within this context is Mojuí River watershed, located in the cities of Santarém and Belterra, in the state of Pará This comes under constant exploration of natural resources, mainly due to conversion of forest areas into agricultural areas, mainly for soybeans cultivation. The aim of this study was to characterize and quantify mapping , semi -scale detail , the areas of vegetation cover classes and land use in the period of 11 years as use of LANDSAT , orbit / points 227/62 , TM bands 3 , 4:05 , for the years 1999 , 2005 and 4 2010 , the landscape dynamics in the region . The selection of images was determined considering the similar climatic period, with the same lighting conditions and cloud cover. The boundaries of the basin were established by dividers that form the topographic area that drains to a specific point. Based on the data obtained in the field survey and with the support of photointerpretation the scenes of the sensors in the years established by research, has defined a thematic caption for vegetation classification and land use in the basin, identified seven forms of vegetation and land use in the catchment area of the basin. We defined the following classes of land cover: Rain Forest , Secondary Succession , Alluvial Rain Forest , Grassland , Degraded Grassland , Agriculture and Water Bodies . During the research it was observed that the Moju river watershed has lost 221.73 km² of natural vegetation cover (dense ombrophilous forest, alluvial dense ombrophilous forest). Until 1999 the dense ombrophilous forest class was the largest present at the watershed, however from 2005 on the agricultural class became the largest at that location, with an increase of approximately 518.11% of the initial research area. When the results were analyzed more ...
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Silva, Hugo Amancio Sales 1988. "Dinâmica da paisagem na microbacia hidrográfica do rio Mojuí, oeste do estado do Pará /." Botucatu:, 2013. http://hdl.handle.net/11449/93827.

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Orientador: Sérgio Campos
Banca: Ellen Fitipaldi Brasilio Carrega
Banca: Maria Nazaré Martins Maciel
Resumo: Atualmente, as questões conservacionistas têm sido discutidas com grande ênfase pela sociedade em geral, principalmente sobre a paisagem amazônica. Dentro desse contexto está a bacia hidrográfica do rio Mojuí, localizada nos municípios de Santarém e Belterra, no estado do Pará. Esta vem sofrendo constantes explorações dos seus recursos naturais, principalmente devido à conversão de áreas com florestas em áreas agrícolas, principalmente para cultivo da soja. O objetivo deste trabalho foi caracterizar, mapear e quantificar, em escala de semi detalhe, as áreas das classes de cobertura vegetal e uso da terr0a no período de 11 anos, com o uso de imagens LANDSAT, órbita/ pontos 227/62, bandas TM 3, 4 e 5, referentes aos anos de 1999, 2005 e 2010, a dinâmica da paisagem na região. A seleção das imagens foi determinada considerando-se o período climático semelhante, com as mesmas circunstâncias de iluminação e cobertura de nuvens. Os limites da bacia foram estabelecidos pelos divisores topográficos que formam a área que drena para um ponto específico. Baseando-se nos dados obtidos no levantamento de campo e com o suporte da fotointerpretação das cenas dos sensores nos anos estabelecidos pela pesquisa, foi definida uma legenda temática para classificação da vegetação e uso do solo na bacia, sendo identificadas sete formas de coberturas vegetais e uso do solo na área de abrangência da bacia. Foram estabelecidas as seguintes classes de cobertura do solo ...
Abstract: Currently, conservation issues have been discussed with great emphasis by society in general, especially on the Amazon landscape. Within this context is Mojuí River watershed, located in the cities of Santarém and Belterra, in the state of Pará This comes under constant exploration of natural resources, mainly due to conversion of forest areas into agricultural areas, mainly for soybeans cultivation. The aim of this study was to characterize and quantify mapping , semi -scale detail , the areas of vegetation cover classes and land use in the period of 11 years as use of LANDSAT , orbit / points 227/62 , TM bands 3 , 4:05 , for the years 1999 , 2005 and 4 2010 , the landscape dynamics in the region . The selection of images was determined considering the similar climatic period, with the same lighting conditions and cloud cover. The boundaries of the basin were established by dividers that form the topographic area that drains to a specific point. Based on the data obtained in the field survey and with the support of photointerpretation the scenes of the sensors in the years established by research, has defined a thematic caption for vegetation classification and land use in the basin, identified seven forms of vegetation and land use in the catchment area of the basin. We defined the following classes of land cover: Rain Forest , Secondary Succession , Alluvial Rain Forest , Grassland , Degraded Grassland , Agriculture and Water Bodies . During the research it was observed that the Moju river watershed has lost 221.73 km² of natural vegetation cover (dense ombrophilous forest, alluvial dense ombrophilous forest). Until 1999 the dense ombrophilous forest class was the largest present at the watershed, however from 2005 on the agricultural class became the largest at that location, with an increase of approximately 518.11% of the initial research area. When the results were analyzed more ...
Mestre
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Román, Glenda M. "Spectral merging and object-oriented classification of National Agriculture Imagery Program (NAIP) digital aerial photography and landsat TM data." 2006. http://catalog.hathitrust.org/api/volumes/oclc/71514930.html.

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Thesis (M.S.)--University of Wisconsin--Madison, 2006.
Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 48-50).
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Books on the topic "Aerial photography Landsat satellites"

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Ahern, Francis J. Landsat MSS enhancements for forestry applications. Ottawa: Canada Centre for Remote Sensing, 1985.

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Matejek, Sébastien. Méthode de mise à jour des cartes forestières en forêt privée à l'aide des images LANDSAT TM. Québec: Gouvernement du Québec, Ministère des ressources naturelles, Direction de la recherche forestière, 1997.

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Chiriin, Kokudo. Rimōto senshingu gijutsu o katsuyōshita tochi ni kansuru jōhō seibi shuhō chōsa hōkokusho. [Ibaraki-ken Tsukuba-shi]: Kensetsushō Kokudo Chiriin, 1991.

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Uchū Kaihatsu Jigyōdan (Japan). Chikyū Kansoku Sentā. Chikyū Shigen Eisei 1-gō (Fuyō 1-gō) gōsei kaikō rēda shashinshū: Image collection from Japanese earth resources satellite-1 (JERS-1) synthetic aperture radar (SAR). Saitama-ken Hikigun Hatoyama-chō: Uchū Kaihatsu Jigyōdan Chikyū Kansoku Sentā, 1995.

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Auteuil, Chantal d'. Les images satellites : un regard neuf sur la terre: Satellite images : a view from out of this world /[research and editing, Chantal d'Auteuil ; conception and coordination, Patrice Bigras]. Sherbrooke: Musée du Séminaire de Sherbrooke : Université de Sherbrooke, Centre d'applications et de recherches en télédétection (CARTEL), 1987.

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Seminar, on Operational Use of Satellite Images in Development Planning (1988 Gaborone Botswana). Report on the Seminar on Operational Use of Satellite Images in Development Planning: Gaborone, Botswana, January 26-28, 1988. Maseru: Ministry of Agriculture and Marketing, 1988.

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Final Results Workshop on INDREX (INDonesian Radar EXperiment) (1999 Noordwijk, Netherlands and Jakarta, Indonesia). Proceedings of the Final Results Workshop on INDREX (INDonesian Radar EXperiment): ESTEC, Noordwijk, the Netherlands, 9 November 1999 & Jakarta, Indonesia, 30 November 1999. Noordwijk, the Netherlands: ESA Publications Division, 2000.

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S, Isaev A., ed. Aėrokosmicheskiĭ monitoring lesnogo pokrova. Novosibirsk: "Nauka," Sibirskoe otd-nie, 1991.

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Fundamentos de teledetección espacial. Madrid: Ediciones Rialp, 1990.

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Rosemary, Byard, and Beaven Peter, eds. Terrain evaluation manual. London: Transport Research Laboratory, Dept. of Transport, 1993.

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Book chapters on the topic "Aerial photography Landsat satellites"

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Rango, Albert, and Jerry Ritchie. "Applications of Remotely Sensed Data from the Jornada Basin." In Structure and Function of a Chihuahuan Desert Ecosystem. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780195117769.003.0019.

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Like other rangelands, little application of remote sensing data for measurement and monitoring has taken place within the Jornada Basin. Although remote sensing data in the form of aerial photographs were acquired as far back as 1935 over portions of the Jornada Basin, little reliance was placed on these data. With the launch of Earth resources satellites in 1972, a variety of sensors have been available to collect remote sensing data. These sensors are typically satellite-based but can be used from other platforms including ground-based towers and hand-held apparatus, low-altitude aircraft, and high-altitude aircraft with various resolutions (now as good as 0.61 m) and spectral capabilities. A multispectral, multispatial, and multitemporal remote sensing approach would be ideal for extrapolating ground-based point and plot knowledge to large areas or landscape units viewed from satellite-based platforms. This chapter details development and applications of long-term remotely sensed data sets that are used in concert with other long-term data to provide more comprehensive knowledge for management of rangeland across this basin and as a template for their use for rangeland management in other regions. In concert with the ongoing Jornada Basin research program of ground measurements, in 1995 we began to collect remotely sensed data from ground, airborne, and satellite platforms to provide spatial and temporal data on the physical and biological state of basin rangeland. Data on distribution and reflectance of vegetation were measured on the ground along preestablished transects with detailed vegetation surveys (cover, composition, and height); with hand-held and yoke-mounted spectral and thermal radiometers; from aircraft flown at different elevations with spectral and thermal radiometers, infrared thermal radiometers, multispectral video, digital imagers, and laser altimeters; and from space with Landsat Thematic Mapper (TM), IKONOS, QuickBird, Terra/Aqua, and other satellite-based sensors. These different platforms (ground, aircraft, and satellite) allow evaluation of landscape patterns and states at different scales. One general use of these measurements will be to quantify the hydrologic budget and plant response to changes in components in the water and energy balance at different scales and to evaluate techniques of scaling data.
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Anyamba, Assaf, and Compton J. Tucker. "Monitoring Drought Using Coarse Resolution Polar-Orbiting Satellite Data." In Monitoring and Predicting Agricultural Drought. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780195162349.003.0012.

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There are two distinct categories of remotely sensed data: satellite data and aerial data or photographs. Unlike aerial photographs, satellite data have been routinely available for most of the earth’s land areas for more than two decades and therefore are preferred for reliably monitoring global vegetation conditions. Satellite data are the result of reflectance, emission, and/or back scattering of electromagnetic energy from earth objects (e.g., vegetation, soil, and water). The electromagnetic spectrum is very broad, and only a limited range of wavelengths is suitable for earth resource monitoring and applications. The gaseous composition (O2, O3, CO2, H2O, etc.) of the atmosphere, along with particulates and aerosols, cause significant absorption and scattering of electromagnetic energy over some regions of the spectrum. This restricts remote sensing of the earth’s surface to certain “atmospheric windows,” or regions in which electromagnetic energy can pass through the atmosphere with minimal interference. Some such windows include visible, infrared, shortwave, thermal, and microwave ranges of the spectrum. The shortwave-infrared (SWIR) wavelengths are sensitive to moisture content of vegetation, whereas the thermal-infrared region is useful for monitoring and detecting plant canopy stress and for modeling latent and sensible heat fluxes. Thermal remote sensing imagery is acquired both during the day and night, and it measures the emitted energy from the surface, which is related to surface temperatures and the emissivity of surface materials. This chapter focuses on the contribution of visible and infrared wavelengths to global drought monitoring, and chapter 6 discusses visible, infrared, and thermal wave contributions. Under microwave windows, the satellite data can be divided into two categories: active microwave and passive microwave. Chapters 7 and 8 describe applications of passive and active microwave remote sensing to drought monitoring, respectively. Early use of satellite data was pioneered by the Landsat series originally known as the Earth Resource Technology Satellite (ERTS; http://landsat7. usgs.gov/index.php). Landsat was the first satellite specifically designed for broad-scale observation of the earth’s land surface.
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Horning, Ned, Julie A. Robinson, Eleanor J. Sterling, Woody Turner, and Sacha Spector. "Marine and coastal environments." In Remote Sensing for Ecology and Conservation. Oxford University Press, 2010. http://dx.doi.org/10.1093/oso/9780199219940.003.0013.

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New remote sensing challenges arise from the addition of the water column to the remote sensing signal. At the same time, new opportunities for use of remotely sensed data are possible in the marine environment. Marine environments can have organisms in such great abundance that they are readily monitored using remote sensing. From measuring ocean productivity, to harmful algal blooms (HABs), to fisheries management, remote sensing is a key component of many efforts to manage and conserve marine ecosystems. For example, the small giant clam, Tridacna maxima, is endangered in some areas of the Pacific, and because of commercial harvest pressure is listed in Appendix II of the Convention on the International Trade of Endangered Species (CITES, meaning they are not yet threatened by extinction but could become so if their trade is not tightly regulated). Andréfouët et al. (2005a) used field observations and remotely sensed data to study the productivity of the clam fishery in tiny (22.2 km2, including a 9.9 km2 lagoon) Fangatau Atoll (Eastern Tuamotu, French Polynesia). The fishery was under pressure due to the large (4 ton per year) export of clams to Tahiti. Remotely sensed data included a mosaic of aerial photographs (1.5 m resolution), a digital photograph taken from the International Space Station (red, green, blue, 5.6 m resolution), and Landsat TM imagery (30 m resolution). The authors classified each image of key lagoon habitats, using maximum likelihood supervised classification, with each image classified independently. They estimated the population size for the entire lagoon by multiplying the mean clam density in each habitat (from field data) by the total area of each habitat (in the maps made from the remotely sensed data). Amazingly, an estimated 23.65 ± 5.33 million clams (mean ± 95 percent confidence interval) inhabited the 4.05 km2 area of suitable habitat in the lagoon. The high spatial resolution data (1.5 m aerial and 5.6 m astronaut photography data) both gave equivalent estimates of the biomass with good estimates of accuracy, but the Landsat 30 m data overestimated the population.
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Conference papers on the topic "Aerial photography Landsat satellites"

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Janks, J. S., G. S. Edwards, and A. E. Prelat. "Multi-Temporal Environmental Analysis Of Oil Field Activities In South-Central Oklahoma Using Landsat Thematic Mapper, Aerial Photography And GIS." In SPE/EPA Exploration and Production Environmental Conference. Society of Petroleum Engineers, 1995. http://dx.doi.org/10.2118/29692-ms.

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Molnia, Bruce F., Kim M. Angeli, Shawn J. Dilles, Gary B. Fisher, and E. Terrence Slonecker. "THE FLUVIAL-MARINE TRANSITION IN SPACE AND TIME - USING GLOBAL FIDUCIALS HIGH RESOLUTION IMAGERY, LANDSAT, AND AERIAL PHOTOGRAPHY TO MONITOR SIX DECADES OF CHANGE AT EAST TIMBALIER ISLAND, LOUISIANA: 1953 - 2019." In GSA Annual Meeting in Phoenix, Arizona, USA - 2019. Geological Society of America, 2019. http://dx.doi.org/10.1130/abs/2019am-339109.

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Reports on the topic "Aerial photography Landsat satellites"

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Provencher, L., and J. M. Dubois. Interpretation guide of natural geographic features from ETM+ Landsat imagery and aerial photography: dune. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/314945.

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Provencher, L., and J. M. Dubois. Interpretation guide of natural geographic features from ETM+ Landsat imagery and aerial photography: esker. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/314947.

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Provencher, L., and J. M. Dubois. Interpretation guide of natural geographic features from ETM+ Landsat imagery and aerial photography: moraine. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/314951.

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Provencher, L., and J. M. Dubois. Interpretation guide of natural geographic features from ETM+ Landsat imagery and aerial photography: reef. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/314963.

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Provencher, L., and J. M. Dubois. Interpretation guide of natural geographic features from ETM+ Landsat imagery and aerial photography: pingo. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/314961.

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Provencher, L., and J. M. Dubois. Interpretation guide of natural geographic features from ETM+ Landsat imagery and aerial photography: intermittent water. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/314953.

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Provencher, L., and J. M. Dubois. Interpretation guide of natural geographic features from ETM+ Landsat imagery and aerial photography: palsa bog. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/314955.

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Provencher, L., and J. M. Dubois. Interpretation guide of natural geographic features from ETM+ Landsat imagery and aerial photography: permanent water. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/314959.

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Provencher, L., and J. M. Dubois. Interpretation guide of natural geographic features from ETM+ Landsat imagery and aerial photography: string bog. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/314965.

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Provencher, L., and J. M. Dubois. Interpretation guide of natural geographic features from ETM+ Landsat imagery and aerial photography: tundra polygon. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/314967.

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