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1

Lake, Leonard. Mapping and monitoring noxious weeds using remote sensing. [Salt Lake City, UT]: United States. Dept. of Agriculture, Forest Service Engineering, Remote Sensing Applications Center, 1997.

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2

ESCAP-BIOTROP Training Course on Remote Sensing Techniques Applied to Vegetation Studies (1985 Bogor, Indonesia). Remote sensing in vegetation studies: Report of the ESCAP-BIOTROP Training Course on Remote Sensing Techniques Applied to Vegetation Studies. Bangkok, Thailand: UNDP/ESCAP Regional Remote Sensing Programme, 1985.

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3

Burgan, Robert E. Monitoring vegetation greenness with satellite data. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1993.

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4

Vygodskai͡a, N. N. Teorii͡a i ėksperiment v distant͡sionnykh issledovanii͡akh rastitelʹnosti. Leningrad: Gidrometeoizdat, 1987.

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5

Workshop, EARSeL. Microwave remote sensing applied to vegetation: Proceedings of an EARSeL Workshop. Paris, France: European Space Agency, 1985.

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6

Sobhan, Md Istiak. Species discrimination from a hyperspectral perspective. Enschede: ITC, 2007.

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7

Koslowsky, Dirk. Mehrjährige validierte und homogenisierte Reihen des Reflexionsgrades und des Vegetationsindexes von Landoberflächen aus täglichen AVHRR-Daten hoher Auflösung. Berlin: Reimer, 1996.

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8

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.

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9

Jong, Steven M. de. Applications of reflective remote sensing for land degradation studies in a Mediterranean environment. [Amsterdam]: Koninklijk Nederlands Aardrijkskundig Genootschap, 1994.

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10

Agee, James K. Vegetation and fuel mapping of North Cascades National Park Service complex: Final report. Seattle, Wash: National Park Service, Cooperative Park Studies Unit, College of Forest Resources, University of Washington, 1985.

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11

Patterson, Samuel Goodman. Mangrove community boundary interpretation and detection of areal changes on Marco Island, Florida: Application of digital image processing and remote sensing techniques. Washington, DC: Fish and Wildlife Service, U.S. Dept. of the Interior, 1986.

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12

Sensing, Canada Centre for Remote. Development of a satellite-based ground cover classification program for Alberta: Part of the Earth Observation Pilot Projects Program (EOP3), Canada Centre for Remote Sensing. Alberta]: The Division, 1998.

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13

Villavicencio-Garcia, Raymundo. Kartierung von Vegetationsstrukturen und deren Veränderung in Naturschutzgebieten mit Hilfe von Fernerkundung und terrestrische Inventurverfahren: Dargestellt am Beispiel des Schutzgebietes für Flora und Fauna "Sierra de Quila" im Bundesstaat Jalisco im Westen Mexikos. Göttingen: Cuvillier, 2004.

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14

Webber, Herbert H. Remote sensing inventory of the seagrass meadow of the Padilla Bay National Estuarine Research Reserve: Areal extent and estimation of biomass. Mount Vernon, Wash: The Reserve, 1990.

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15

Rodgers, W. A. The extent of forest cover in Tanzania using satelite imagery. [Dar es Salaam?]: Institute of Resource Assessment, University of Dar es Salaam, 1985.

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16

Frisina, Rick. Forest cover changes and carbon dioxide emissions: A remote sensing study in western Victoria, 1987-1990. East Melbourne: Dept. of Conservation and Environment & Office of the Environment, 1991.

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17

Bemigisha, Jane. Spectral and human sensors: Hyperspectral remote sensing and participatory GIS for mapping livestock grazing intensity and vegetation in transhumant Mediterranean Conservation areas. Wageningen: Wageningen University, 2008.

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18

Bödinger, Christian Julian. Remote Sensing of Vegetation. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-25120-8.

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19

Hyperspectral remote sensing of vegetation. Boca Raton: Taylor & Francis, 2012.

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20

Snedden, Robert. Mapping Earth from space. Chicago, Ill: Raintree, 2011.

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21

Snedden, Robert. Mapping Earth from space. Chicago, Ill: Raintree, 2011.

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22

Kar, Om. Snow cover mapping for Baira catchment (H.P.). Satwari, Jammu Cantt: Western Himalayan Regional Centre, National Institute of Hydrology, 1993.

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23

D'Antoni, Héctor L. Remote sensing and holocene vegetation: History of global change. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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24

Ng'ang'a, E. M. The vegetation of Aberdares mountain ranges. Nairobi: Dept. of Resourse [sic] Surveys and Remote Sensing, Ministry of Planning and National Development, 1990.

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25

R, Lyons Thomas, ed. Remote sensing: Photogrammetry in archeology : the Chaco mapping project. Albuquerque, N.M: Branch of Remote Sensing, Cultural Resources Management, National Park Service, U.S. Dept. of the Interior, 1985.

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26

Drager, Dwight L. Remote sensing: Photogrammetry in archeology : the Chaco Mapping Project. Albuquerque, N.M: Branch of Remote Sensing, Cultural Resources Management, National Park Service, U.S. Dept. of the Interior, 1985.

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27

Benjamin, I. Mapping wastelands by remote sensing technique, Chickmagalur district, Karnataka. Bangalore: Karnataka State Remote Sensing Technology Utilisation Centre, 1993.

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28

Drager, Dwight L. Remote sensing: Photogrammetry in archeology : the Chaco Mapping Project. Albuquerque, N.M: Branch of Remote Sensing, Cultural Resources Management, National Park Service, U.S. Dept. of the Interior, 1985.

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29

Drager, Dwight L. Remote sensing: Photogrammetry in archeology : the Chaco Mapping Project. Albuquerque, N.M: Branch of Remote Sensing, Cultural Resources Management, National Park Service, U.S. Dept. of the Interior, 1985.

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30

Ager, Alan A. Characterizing meadow vegetation with multitemporal landsat thematic mapper remote sensing. Portland, OR]: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2004.

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31

Rossel, Raphael A. Viscarra, A. B. McBratney, and Budiman Minasny. Proximal soil sensing. Dordrecht: Springer, 2010.

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32

Areendran, G. Vegetation types of the Southern Eastern Ghats: A remote sensing perspective. New Delhi: WWF-India, 2006.

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33

Ontario. Ministry of Natural Resources. Ontario Forest Resarch Institute. An evaluation of remote sensing for regional wetland mapping applications. Toronto: Queen's Printer for Ontario, 1996.

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34

Kong, Jin Au. Remote sensing of earth terrain. [Washington, DC: National Aeronautics and Space Administration, 1992.

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35

Goel, Narendra S. Final report on inversion of canopy reflectance models for estimation of vegetation parameters. [Washington DC: National Aeronautics and Space Administration, 1987.

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36

Darvishzadeh, Roshanak. Hyperspectral remote sensing of vegetation parameters using statistical and physical models. Enschede: ITC, 2008.

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37

Melisek, Mark. The Classification of Vegetation Communities in the Batchawana Area (Remote Sensing). Sudbury, Ont: Laurentian University, Department of Geography, 1988.

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38

Myneni, Ranga B. Photon-Vegetation Interactions: Applications in Optical Remote Sensing and Plant Ecology. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991.

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39

Los, Sietse Oene. Linkages between global vegetation and climate : an analysis based on NOAA advanced very high resolution radiometer data. Greenbelt, Md: National Aeronautics and Space Administration, Goodard Space Flight Center, 1998.

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40

Remote sensing and its application: A monograph monitoring vegetal landcover and desertification. Jaipur: University Book House, 2002.

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41

A, Bartlette Roberta, and Intermountain Research Station (Ogden, Utah), eds. Monitoring vegetation greenness with satellite data. Ogden, UT (324 25th St. Ogden 84401): U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1993.

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42

M, Norman John, and Goel Narendra S. 1941-, eds. Instrumentation for studying vegetation canopies for remote sensing in optical and thermal infrared regions. London: Harwood Academic, 1990.

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43

Guidelines for the use of digital imagery for vegetation mapping. Washington, DC, 1995.

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44

Remote Sensing of Vegetation: Principles, Techniques, and Applications. Oxford University Press, 2010.

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45

Antonova, Natalya V. Mapping ferruginous hawk habitat using satellite data. 2000.

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46

Spectral reflectance of vegetation in the Idaho Cobalt District: Potential for exploration using remote sensing. [Denver, Colo.?]: U.S. Dept. of the Interior, U.S. Geological Survey, 1986.

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47

M, Milton N., Eiswerth B. A, and Geological Survey (U.S.), eds. Spectral reflectance of vegetation in the Idaho Cobalt District: Potential for exploration using remote sensing. [Denver, Colo.?]: U.S. Dept. of the Interior, U.S. Geological Survey, 1986.

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48

M, Milton N., Eiswerth B. A, and Geological Survey (U.S.), eds. Spectral reflectance of vegetation in the Idaho Cobalt District: Potential for exploration using remote sensing. [Denver, Colo.?]: U.S. Dept. of the Interior, U.S. Geological Survey, 1986.

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49

M, Senseman Gary, United States. Army. Corps of Engineers., and Construction Engineering Research Laboratories (U.S.), eds. Correlation of Land Condition Trend Analysis (LCTA) rangeland cover measures to satellite-imagery-derived vegetation indices. Champaign, IL: U.S. Army Construction Engineering Research Laboratory, 1996.

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50

Juan, Chung-hsin. Application of remote sensing techniques at different scales of observation on wetland evapotranspiration. 2001.

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