This study utilize the approach to investigate the soil wetness variation over the Jammu and Kashmir(J&K), which experienced one of the worst floods in the past 60 years, during first week of September 2014, due to unprecedented and intense rains. The Soil Wetness Estimation (SWE) has been computed from the data acquired by real time direct broadcast (DB) receiving system installed at three places of India Meteorological Department (IMD) using microwave radiometer AMSU (Advanced Microwave Sounding Unit), flying aboard NOAA (National Oceanic and Atmospheric Administration) polar satellites. A multi-temporal analysis of AMSU channel 15 (at 89 GHz) and channel 1 (at 23 GHz) have been used to find the variation of SWE. In the present analysis, the proposed SWE indicator has been very well brought out the soil wetness changes specifically for the flood event which could give some indication of early 'signals' of an anomalous value of soil water content. In order to improve the forecast capabilities over the tropics, SWE approach is found to be promising for operational use. |
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Soil science
Microwave radiation
Satellites
Meteorology
Remote sensing
Floods
Vegetation