Remote sensing of soil moisture
| Autor: | Harlan L. McKim, P.J. LaPotin, J.E. Walsh, T. Pangburn |
|---|---|
| Rok vydání: | 1987 |
| Předmět: |
Atmospheric Science
Hydrological modelling Flooding (psychology) Aerospace Engineering Astronomy and Astrophysics Current (stream) Geophysics Space and Planetary Science Remote sensing (archaeology) General Earth and Planetary Sciences Environmental science Hydrometeorology Precipitation Water content Snow cover Remote sensing |
| Zdroj: | Advances in Space Research. 7:139-145 |
| ISSN: | 0273-1177 |
| DOI: | 10.1016/0273-1177(87)90304-8 |
| Popis: | BACKGROUND The U.S. Army Corps of Engineers requires accurate hydrologic forecasts when it performs emergency operations during potential or actual flooding situations. These forecasts also include the prediction and assessment of drought conditions. Current hydrometeorological data bases and techniques for interactive data usage are limited in providing a reliable real—time hydrologic forecast capability. Several factors related to climate, frozen ground, and regional soil moisture combine to make hydrologic forecasting difficult. Hydrologic models are normally designed to use point measurements of precipitation and the water equivalent of snow cover as indices of actual areal mean values. Synoptic measurements of the occurrence of frozen ground and soil moisture are practically nonexistent. |
| Databáze: | OpenAIRE |
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