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Application of MSMR brightness temperature for retrieval of land surface parameters  Parag S. Narvekar Center of Studies in Resources Engineering (CSRE), Indian Institute of Technology (IIT) Bombay, Powai Mumbai 400 076 Email: parag_narvekar@yahoo.com Abstract ISRO, India launched Indian Remote Sensing satellite IRS-P4 on 26th may 1999, onboard Multi-channel Scanning Microwave Radiometer (MSMR) and an Ocean Colour Monitor (OCM). MSMR provides measurements of brightness temperatures at 6.6, 10.65, 18 and 21 GHz frequencies in both horizontal and vertical polarizations at three different resolutions 50 Km, 75 Km and 150 Km. Our idea is to estimate the soil moisture, vegetation water content and surface roughness in different parts of India with different soil type using MSMR Brightness Temperature data. The soil moisture and vegetation water content are some of the significant parameters for hydrologists, agriculturists and meteorologists. Large area soil moisture information is useful for modeling weather forecasting. Brightness temperature of the soil is dependent on physical parameters like dielectric constant, surface roughness, soil type, vegetation cover etc. Study is done on the retrieval of land surface parameters using Brightness Temperature (TB) and the results for Nimbus 7 SMMR data is compared with the results of MSMR TB data of IRS P4 satellite. A case study is done for a particular area of 50 Km by 50 Km at Bikaner in Rajasthan, India. The results obtained are compared with ground values from the agricultural department [1]. |