WHEAT CROP IDENTIFICATION AND DISCRIMINA-TION USING RESOURCESAT P-6 LISS III AND AWIFS SENSOR SATELLITE DATA OF INDORE DIS-TRICT

Crop recognition (identification and discrimination) from other crops is a primary step for further research, analysis and studies about crop condition, acreage, production esti-mation, crop growth monitoring, crop disease analysis etc. Crop identification and discrimination is based on differen-tial spectral response of various crops in a multi-dimensional feature space produced by different spectral bands, or time domain or both and is influenced by sensor characteristics and pattern recognition techniques. Each crop has its unique architecture and growing period, thus enabling discrimina-tion through remote sensing data. If there are two crops with similar spectral signatures on a given date (confusion crops), multi-temporal remotely sensed data may be used to discri-minate them. This paper highlights wheat crop identification and discrimination from pulses and other crops with the help of single date LISS-III and multidate AWiFS for Indore dis-trict of Madhya Pradesh during the period between 2010-11. For this study we have collected various ground control points (GCPs) from wheat dominant area and further plotted against the classified images for the same region. AWiFS and LISS-III data has proven its efficacy to reveal the infor-mation of natural resources especially wheat crop identifica-tion at district and village level respectively.