ACCURACY ASSESSMENT IN COTTON ACREAGE ESTIMATION USING INDIAN REMOTE-SENSING SATELLITE DATA

The accuracy of cotton crop classification using satellite data has be en assessed with respect to a detailed land cover map prepared by fiel d survey. The effect of spatial resolution on classification accuracy was studied using LISS-I (spatial resolution 72.6 m) and LISS-II data (spatial resolution 36.25 m) of the Indian remote sensing satellite IR S-1B. The performances of the maximum likelihood and the minimum dista nce to mean as classifiers have also been assessed. LISS-II data have been found to give a higher classification accuracy. The estimate of c otton acreage using LISS-II data was closer to that obtained from the base map. The maximum likelihood classifier (MXL) and the minimum dist ance to mean (MDM) classifier performed equally well.