Libros sobre el tema "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. y 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 y 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 y 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. y 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. 2^a 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 y 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. y 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 y 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. y 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. y 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- y 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 y 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 y 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. 2^a 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 y 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 y 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. y 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 y 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.