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Abstract

Two band simulated WiFS data for five dates corresponding to rabi sorghum growing season of 1993-94 has been generated for Aurangabad district of Maharashtra. Ground truth data has been used for supervised classification of one date raw image and five date NDVI of simulated WiFS data and the results were compared with those derived from single date IRS LISS-1 data. Analysis of classification accuracies indicate that single date WiFS data gives slightly lower accuracy of 79 percent against 81 percent obtained for single date LISS-I data. Overall accuracy for 5-date WiFS data is 96 percent which shows that classification performance of five date WiFS NDVI is far superior to the single date data of the IRS-1C WiFS as well as the IRS LISS-I. The study thus shows the importance of temporal domain of data acquisition in sorghum crop discrimination. Growth profile for sorghum and other crop alsses were generated from multidate WiFS derived NDVI data. Differences in growth profiles of sorghum vigour classes as well as amongst different crop types and forests coroborate the premise of better discrimination of crop types and their vigour on multidate remote sensing data.