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Remote sensing applied to resource managementAuthor(s): Henry M. Lachowski
Source: In: Bytnerowicz, Andrzej; Arbaugh, Michael J.; Schilling, Susan L., tech. coords. Proceedings of the international symposium on air pollution and climate change effects on forest ecosystems. Gen. Tech. Rep. PSW-GTR-166. Albany, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station: 327-332
Publication Series: General Technical Report (GTR)
Station: Pacific Southwest Research Station
PDF: Download Publication (140 KB)
DescriptionEffective management of forest resources requires access to current and consistent geospatial information that can be shared by resource managers and the public. Geospatial information describing our land and natural resources comes from many sources and is most effective when stored in a geospatial database and used in a geographic information system (GIS). The information on the location and condition of current vegetation is one of the key elements in resource management. Remote sensing data, such as aerial photographs, satellite imagery, aerial video, and data collected by other remote devices, are primary sources for mapping vegetation. Comparison of images acquired several days or several years apart can assist in determining changes that occurred in that time period. The Forest Service, U.S. Department of Agriculture, has been using various remote sensing and associated technologies to map vegetation and monitor changes. Current needs include an increased training and awareness in use of this technology, as well as development of new applications, standards, and guidelines.
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CitationLachowski, Henry M. 1998. Remote sensing applied to resource management. In: Bytnerowicz, Andrzej; Arbaugh, Michael J.; Schilling, Susan L., tech. coords. Proceedings of the international symposium on air pollution and climate change effects on forest ecosystems. Gen. Tech. Rep. PSW-GTR-166. Albany, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station: 327-332
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