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Present paper utilizes the time evolution for estimating the soil moisture and vegetation parameter with radar remote sensing data. For this purpose, vegetation ladyflnger has been taken as a test fleld and experimental observations have been taken by bistatic scatterometer at X-band in the regular interval of 10 days for both like polarizations (i.e., Horizontal-Horizontal, HH-; Vertical-Vertical, VV-) and at difierent incidence angles. At this interval, all the vegetation parameters and scattering coe-cient have been recorded and computed. Three similar types of fleld of size 5 £ 5m have been especially prepared for this purpose. The observed data is critically analyzed to understand the efiect of incidence angle and polarization efiect on scattering coe-cient of the ladyflnger. It is observed that VV-polarization gives better result than HH-polarization and incidence angle 55 - is the best suited to observe composite efiect of vegetation ladyflnger biomass (Bm) and vegetation covered soil moisture at X- band. This analysis is further used for retrieval of soil moisture and

APPLICATION OF NEURAL NETWORK WITH ERROR CORRELATION AND TIME EVOLUTION FOR RETRIEVAL OF SOIL MOISTURE AND OTHER VEGETATION VARIABLES