Books on the topic '3D Remote Sensing data'

The application of airborne Lidar data in the modelling of 3D urban landscape ecology. Newcastle upon Tyne: Cambridge Scholars Publishing, 2017.

R, Oliver William, Society of Photo-optical Instrumentation Engineers., and AIPR Executive Committee., eds. 3D visualization for data exploration and decision making: 28th AIPR Workshop : 13-15 October, 1999, Washington, D.C. Bellingham, Washington: SPIE, 2000.

Weixi, Wang, ed. Yao gan ying xiang ji he jiu zheng yu san wei chong jian: Geometric correction and 3D reconstruction for remote sensing images. Beijing Shi: Ce hui chu ban she, 2011.

Processing of remote sensing data. Lisse: Balkema, 2003.

Girard, Michel-Claude. Processing of remote sensing data. Lisse: Balkema, 2001.

The remote sensing data book. Cambridge: Cambridge University Press, 1999.

Kanellopoulos, Ioannis, Graeme G. Wilkinson, Fabio Roli, and James Austin, eds. Neurocomputation in Remote Sensing Data Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59041-2.

J, Qu John, ed. Earth science satellite remote sensing data. Berlin: Springer, 2006.

Johnson, AI, and CB Pettersson, eds. Geotechnical Applications of Remote Sensing and Remote Data Transmission. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 1988. http://dx.doi.org/10.1520/stp967-eb.

E, Goodison B., International Association of Hydrological Sciences., and International Union of Geodesy and Geophysics., eds. Hydrological applications of remote sensing and remote data transmission. Wallingford: IAHS Press, Institute of Hydrology, 1985.

1937-, Chen C. H., ed. Image processing for remote sensing. Boca Raton: CRC Press/Taylor & Francis Group, 2008.

1937-, Chen C. H., ed. Signal processing for remote sensing. Boca Raton: CRC Press/Taylor & Francis Group, 2008.

Chen, C. H. Signal processing for remote sensing. 2nd ed. Boca Raton: CRC Press, 2012.

Townshend, John R. G. Thematic mapper data: Characteristics and use. Swindon: Natural Environment Research Council, 1988.

Earth observation data policy. Chichester: John Wiley, 1997.

Geological Survey (U.S.). National Mapping Division, ed. Creating urban data using AVHRR thermal-infrared data. [Reston, Va.?]: U.S. Dept. of the Interior, U.S. Geological Survey, National Mapping Division, 1994.

Khaki, Mehdi. Satellite Remote Sensing in Hydrological Data Assimilation. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37375-7.

Camps-Valls, Gustavo, and Lorenzo Bruzzone, eds. Kernel Methods for Remote Sensing Data Analysis. Chichester, UK: John Wiley & Sons, Ltd, 2009. http://dx.doi.org/10.1002/9780470748992.

Wilson, Mary. Remote sensing data applications to hydrological models. [Lindsay, Ont.?: Sir Sandford Fleming College], 1998.

Maurel, P. Inventory of available satellite data in KREMU. Nairobi, Kenya: KREMU, Ministry of Planning and National Development, 1987.

National Research Council (U.S.). Space Studies Board. and National Research Council (U.S.). Ocean Studies Board., eds. Transforming remote sensing data into information and applications. Washington, D.C: National Academy Press, 2001.

Cordell, E. Victor. CZMA remote sensing user's guide. [Newport, Or: National Coastal Resources Research and Development Institute, 1988.

Wynn, Eberhard, and Wave Propagation Laboratory, eds. Remote sensing data from CLARET: A prototype CART data set. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Wave Propagation Laboratory, 1992.

1919-, Johnson A. I., Pettersson C. B, ASTM Committee D-18 on Soil and Rock., and International Symposium on Geotechnical Applications of Remote Sensing and Remote Data Transmission (1986 : Cocoa Beach, Fla.), eds. Geotechnical applications of remote sensing and remote data transmission: A symposium. Philadelphia, PA: ASTM, 1988.

Famine Early Warning System Network. and United States. Agency for International Development., eds. Famine early warning systems and remote sensing data. Berlin: Springer, 2008.

Dr, Muller Jan-Peter, ed. Digital image processing in remote sensing. London: Taylor & Francis, 1988.

Giles, D'Souza, Belward Alan S. 1960-, and Malingreau Jean-Paul, eds. Advances in the use of NOAA AVHRR data for land applications. Dordrecht: Kluwer, 1996.

Institute, Scott Polar Research, ed. Satellite remote sensing of polar regions: Applications, limitations, and data availability. London: Belhaven Press in association with the Scott Polar Research Institute, University of Cambridge, 1991.

M, Tomlin Sandra, and United States. National Aeronautics and Space Administration., eds. Commercial potential of remote sensing data from the Earth Observing System. Columbus, Ohio: Ohio State University, 1992.

Sherman, John W. NOAA N-ROSS/ERS-1 Environmental Data Development (NNEEDD) Activity. Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1985.

Sherman, John W. NOAA N-ROSS/ERS-1 Environmental Data Development (NNEEDD) Activity. Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1985.

Sherman, John W. NOAA N-ROSS/ERS-1 Environmental Data Development (NNEEDD) Activity. Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1985.

Wolfgang, Wagner. Soil moisture retrieval from ERS scatterometer data. Wien: Veröffentlichung des Instituts für Photogrammetrie und Fernerkundung, 1998.

Lee, Chulhee. Feature extraction and classification algorithms for high dimensional data. West Lafayette, Ind: School of Electrical Engineering, Purdue University, 1993.

J, Jedlovec G., Atkinson R. J, and George C. Marshall Space Flight Center., eds. MAMS data for the Convection and Moisture Experiment (CAMEX). [Marshall Space Flight Center, Ala.]: National Aeronautics and Space Administration, George C. Marshall Space Flight Center, 1994.

Signal processing for remote sensing. 2nd ed. Boca Raton: CRC Press, 2012.

United States. Congress. Office of Technology Assessment., ed. Remotely sensed data: Technology, management and markets. Washington, D.C: U.S. Congress, Office of Technology Assessment, 1994.

Abdul-Rahman, Alias, and Morakot Pilouk. Spatial Data Modelling for 3D GIS. Springer Berlin / Heidelberg, 2010.

Spatial Data Modelling for 3D GIS. Springer, 2007.

Remote Sensing Data Compression. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-2304-0.

Girard, Michel-Claude, Colette Girard, Dominique Courault, Jean-Marc Gilliot, Lionel Loubersac, Jean Meyer-Roux, Jean-Marie Monget, Bernard Seguin, and N. Venkat Rao. Processing of Remote Sensing Data. Routledge, 2018. http://dx.doi.org/10.1201/9780203741917.

Girard, ColetteM. Processing of Remote Sensing Data. Taylor & Francis Group, 2018.

Girard, H. Processing of Remote Sensing Data. Taylor & Francis, 2003.

Rees, Gareth. The Remote Sensing Data Book. Cambridge University Press, 2005.

Howard, J., and John A. Howard. Remote Sensing of Forest Resources (Remote Sensing Applications). Chapman & Hall, 1994.

Committee on Science and Techno (house), United States House of Representatives, and United States United States Congress. Remote Sensing Data: Applications and Benefits. Independently Published, 2019.

Remote Sensing Data Analysis in R. Taylor & Francis Group, 2021.

3D Remote Sensing Applications in Forest Ecology. MDPI, 2019. http://dx.doi.org/10.3390/books978-3-03921-783-0.

Hyperspectral Data Compression. Springer, 2010.

1946-, Goodison Barry Edward, ed. Hydrological applications of remote sensing and remote data transmission. Wallingford: International Association of Hydrological Sciences, 1985.