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The Remote Sensing Research and Applications Project is a multidisciplinary project dedicated to developing the applications of remote sensing technology for addressing geologic, botanic, and hydrologic issues for the USGS at national, regional, and site-specific scales. The USGS and the Remote Sensing Research and Applications Project must address a diverse set of scientific problems. To reach and maintain the high scientific levels required by USGS investigations, the Remote Sensing Research and Applications Project must conduct basic research to provide a firm foundation for remote sensing studies and must develop and test new methods of applying existing and evolving remote sensing data to changing USGS issues.
Basic research, including field and the laboratory studies, provides the scientific basis for remote sensing applications. These studies establish the links between remote sensing data and geochemical and geophysical data, provide the rationale for interpreting the results of remote sensing analyses, and form the basis for designing remote sensing applications. Developing methodologies for applying remotely sensed data translates into finding practical solutions to USGS earth science questions at national, regional, and local scales. These methodologies also provide direction for the scientific community in general, including other Federal, State, and local agencies. Integrating the results of remote sensing analyses with other types of data is a non-trivial task requiring broad knowledge and experience, as well as an acute appreciation of the complex problems being addressed. However, data integration expands the utility of remote sensing data interpretations, and other data types as well, and provides a powerful tool for addressing complex earth science issues for which obtaining the best possible answers is critical to decision-making processes.
| Ridley, Trude M. | Box 25046 MS 964 Denver, CO 80225-0046 |
(303) 236-1373 tking@usgs.gov |
|---|
U.S.
Department of the Interior || U.S. Geological
Survey
