The methodology of the study involved -

• Creation of base layers like district boundary, district with taluk and village boundaries, road network, drainage network, contours, mapping of waterbodies, etc. from the SOI topographical maps of scale 1:250000 and 1:50000.

• Extraction of LISS-3 bands, identification of ground control points (GCP's) and geo-correction of the bands through resampling followed by cropping and mosaicing of data corresponding to the study area.

• Generation of FCC (False Colour Composite) and identification of training sites on FCC.

• Collection of attribute information from field corresponding to the chosen training sites using GPS.

• Supervised Classification of LISS-3 MSS data.

• Identification of ground control points (GCP's) and geo-correction of MODIS ( MOD 09 Surface Reflectance 8-day L3 global Products) band 1 and 2 (spatial resolution 250 m) and bands 3 to 7 (spatial resolution 500 m) and MODIS L1B product ( MOD 02 Level-1B Calibrated Geolocation Data Set ) with 36 spectral bands (of spatial resolution 1 km)

• Resampling of MODIS bands 3 to 7 ( MOD 09 Surface Reflectance 8-day L3 global Products) and MODIS bands 1 to 36 ( MOD 02 Level-1B Calibrated Geolocation Data Set ) to 250 m using nearest neighbourhood technique for easy processing, overlaying and comparison and for analysis consistency.

• Reprojection of all MODIS bands from Sinusoidal to lat-long projection with Evrst 1956 as the datum, followed by masking of the study area.

• Derivation of Principal Component Analysis (PCA) on the MODIS 36 bands.

• Derivation of Minimum Noise Fraction (MNF) on the MODIS 36 bands.

• Classification of MODIS data using Neural Network.

• Accuracy Assessment of the classified maps.