Books on the topic 'Landsat and ASTER Data'

Tilton, James C. Landsat-4 and Landsat-5 multispectral scanner coherent noise characterization and removal. Greenbelt, Md: Goddard Space Flight Center, 1988.

Rand, Robert S. Multispectral image maps from Landsat thematic mapper data. Fort Belvoir, Va: U.S. Army Corps of Engineers, Engineer Topographic Laboratories, 1991.

Zevenbergen, Adrian W. Runoff curve numbers for rangeland from Landsat data. Beltsville, Md: Hydrology Laboratory, Agricultural Research Service, U.S. Dept. of Agriculture, 1985.

Griffiths, Geoffrey Hugh. Mapping rangeland vegetation in Northern Kenya from Landsat data. Birmingham: University of Aston. Department of Civil Engineering and Construction, 1985.

Jacobson, John E. Shrubsteppe mapping of eastern Washington using landsat satellite thematic mapper data. [Olympia, Wash.]: Spatial Data Management Section, Science Division, Wildlife Program, Washington Dept. of Fish and Wildlife, 2000.

Goddard Space Flight Center. Earth Observing System. Vol.IIa Data and information systems: Report of the EOS Data Panel. Greenbelt, Md: Goddard Space Flight Center, 1986.

Privatizing government information: The effects of policy on access to Landsat satellite data. Metuchen, NJ: Scarecrow Press, 1995.

Martin, Larry R. G. Monitoring urban development in the Toronto Region employing Landsat Earth Satellite data. [Ottawa, Ont: Canada Mortgage and Housing Corporation], 1985.

Martinuzzi, Sebastian. Creating cloud-free landsat ETM+ data sets in tropical landscapes: Cloud and cloud-shadow removal. Portland, OR: U.S. Dept. of Agriculture, Pacific Northwest Research Station, 2007.

Vinluan, Randy John N. Coastal habitat mapping in support of fisheries management using Landsat 7 ETM + data. Quezon City, Philippines: Fisheries Resource Management Project, 2004.

United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Land Remote-Sensing Data Archiving Authorization Act of 1991: Report (to accompany S. 230). [Washington, D.C.?: U.S. G.P.O., 1991.

Hall, Karin. Empirical studies of the influence of topography upon Landsat MSS- and TM data in gently undulating terrain. Lund: University of Lund, 1985.

International Centre for Integrated Mountain Development, ed. Glacier status in Nepal and decadal change from 1980 to 2010 based on landsat data. Kathmandu: International Centre for Integrated Mountain Development, 2014.

Ismail, A. B. Use of digital landsat MSS data to detect spectral variation in Malaysian peat swamp forests. Kuala Lumpur: Malaysian Agricultural Research and Development Institute, 1990.

Bannert, Dietrich N. Geologische Interpretation von LANDSAT-thematic-mapper-Satellitenbildern des Aras-Gebirges in der Ost-Türkei. Hannover: Bundesanstalt für Geowissenschaften und Rohstoffe, 1999.

Jetty, Tammy L. M. Mapping forest cover types in the Lady Evelyn-Smoothwater provincial park using LANDSAT-5 TM data. Sudbury, Ont: Laurentian University, Department of Earth Sciences, 1990.

nyves, Karin Hall-Ko. Empirical studies of the influence of topography upon Landsat MSS- and TM data in gently undulating terrain. Lund: Lunds Universitets Naturgeografiska Institution, 1985.

McGuire, John. An evaluation of landsat thematic mapper (TM) and SPOT-HRV data, in grasslands inventory in the U.K.. Birmingham: Aston University. Department of Civil Engineering, 1993.

Maupin, Molly A. Agricultural land-use classification using landsat imagery data, and estimates of irrigation water use in Gooding, Jerome, Lincoln, and Minidoka counties, 1992 water year, Upper Snake River basin, Idaho and western Wyoming. Boise, Idaho: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

Maupin, Molly A. Agricultural land-use classification using landsat imagery data, and estimates of irrigation water use in Gooding, Jerome, Lincoln, and Minidoka counties, 1992 water year, Upper Snake River basin, Idaho and western Wyoming. Boise, Idaho: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

Maupin, Molly A. Agricultural land-use classification using landsat imagery data, and estimates of irrigation water use in Gooding, Jerome, Lincoln, and Minidoka counties, 1992 water year, Upper Snake River basin, Idaho and western Wyoming. Boise, Idaho: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

Maupin, Molly A. Agricultural land-use classification using landsat imagery data, and estimates of irrigation water use in Gooding, Jerome, Lincoln, and Minidoka Counties, 1992 water year, Upper Snake River basin, Idaho and western Wyoming. Boise, Idaho: U.S. Geological Survey, 1997.

Maupin, Molly A. Agricultural land-use classification using landsat imagery data, and estimates of irrigation water use in Gooding, Jerome, Lincoln, and Minidoka Counties, 1992 water year, Upper Snake River basin, Idaho and western Wyoming. Boise, Idaho: U.S. Geological Survey, 1997.

Maupin, Molly A. Agricultural land-use classification using landsat imagery data, and estimates of irrigation water use in Gooding, Jerome, Lincoln, and Minidoka Counties, 1992 water year, Upper Snake River basin, Idaho and western Wyoming. Boise, Idaho: U.S. Geological Survey, 1997.

Sachoemar, Suhendar Indrakoesmaya. Pemantauan kondisi ekosistem pantai dengan analisis citra landsat dan data lapangan: Studi kasus di wilayah pesisir Karawang Utara, Jawa Barat. [Bogor]: Program Pascasarjana, Institut Pertanian Bogor, 1994.

Landsat-4 Science Characterization Early Results Symposium (1983 Greenbelt, Md.). Landsat-4 science characterization early results: Proceedings of the Landsat-4 Science Characterization Early Results Symposium, February 22-24, 1983, held at NASA Goddard Space Flight Center, Greenbelt, Maryland. Edited by Barker John L, United States. National Aeronautics and Space Administration, and Landsat-4 Early Results Symposium (1983 : Greenbelt, Md.). Washington, D.C: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

Landsat-4 Science Characterization Early Results Symposium (1983 Greenbelt, Md.). Landsat-4 science characterization early results: Proceedings of the Landsat-4 Science Characterization Early Results Symposium, February 22-24, 1983, held at NASA Goddard Space Flight Center, Greenbelt, Maryland. Edited by Barker John L, United States. National Aeronautics and Space Administration, and Landsat-4 Early Results Symposium (1983 : Greenbelt, Md.). Washington, D.C: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

Olsson, Katarina. Fuelwood demand and supply in the UMM Ruwaba/Er Rahad Region in N. Kordofan, the Sudan: A study based on field data and Landsat MSS information. Lund: Laboratory of Remote Sensing, Dept. of Physical Geography, University of Lund, 1985.

Thelin, Gail P. Mapping irrigated cropland from Landsat data for determination of water use from the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. Washington: U.S. G.P.O., 1987.

Maupin, Molly A. Agricultural land-use classification using Landsat imagery data, and estimates of irrigation water use in Gooding, Jerome, Lincoln, and Minidoka Counties, 1992 water year, Upper Snake River basin, Idaho and western Wyoming. Boise, Idaho: U.S. Geological Survey, 1997.

Maupin, Molly A. Agricultural land-use classification using Landsat imagery data, and estimates of irrigation water use in Gooding, Jerome, Lincoln, and Minidoka Counties, 1992 water year, Upper Snake River basin, Idaho and western Wyoming. Boise, Idaho: U.S. Geological Survey, 1997.

Landsat MSS data catalog. U.S. Dept. of the Interior, U.S. Geological Survey, EROS Data Center, 1996.

Geological Survey (U.S.). National Mapping Division., ed. Neural network method for sharpening Landsat thermal data from higher resolution multispectral data. [Reston, VA]: U.S. Dept. of the Interior, U.S. Geological Survey, National Mapping Division, 1997.

Geological Survey (U.S.). National Mapping Division, ed. Neural network method for sharpening Landsat thermal data from higher resolution multispectral data. [Reston, VA]: U.S. Dept. of the Interior, U.S. Geological Survey, National Mapping Division, 1997.

Neural network method for sharpening Landsat thermal data from higher resolution multispectral data. [Reston, VA]: U.S. Dept. of the Interior, U.S. Geological Survey, National Mapping Division, 1997.

Landsat-4 and Landsat-5 multispectral scanner coherent noise characterization and removal. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1989.

L, Alford William, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Landsat-4 and Landsat-5 multispectral scanner coherent noise characterization and removal. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

L, Alford William, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Landsat-4 and Landsat-5 multispectral scanner coherent noise characterization and removal. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1989.

Landsat-4 and Landsat-5 multispectral scanner coherent noise characterization and removal. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

L, Alford William, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Landsat-4 and Landsat-5 multispectral scanner coherent noise characterization and removal. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1989.

L, Alford William, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Landsat-4 and Landsat-5 multispectral scanner coherent noise characterization and removal. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

United States Geological Survey. Historical Landsat Data Comparisons: Illustrations of the Earth's Changing Surface. U.S. Department of the Interior/USGS, 1995.

Shade images of forested areas obtained from Landsat MSS data. [Washington DC: National Aeronautics and Space Administration, 1990.

United States. Soil Conservation Service., United States. National Aeronautics and Space Administration., and University of Utah. Research Institute. Center for Remote Sensing and Cartography., eds. Detection of soil erosion with Thematic Mapper (TM) satellite data within Pinyon-juniper woodlands. Salt Lake City, Utah: Center for Remote Sensing and Cartography, University of Utah Research Institute, 1987.

E, Wukelic George, and United States. National Aeronautics and Space Administration, eds. Landsat TM image data quality analysis for energy-related applications: Final report. Richland, Wash: Pacific Northwest Laboratory, 1985.

S, Eagleson Peter, and United States. National Aeronautics and Space Administration, eds. Estimation of vegetation cover at subpixel resolution using landsat data: Interim technical report. Cambridge, Mass: Dept. of Civil Engineering, Massachusetts Institute of Technology, 1986.

Cihlar, J. Use of Landsat Data in Forestry (Remote Sensing Reviews, Vol 2, Pt 1). Routledge, 1986.

Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

L, Barker John, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch, eds. Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

L, Barker John, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.