%O We would like to thank to Tata-Cornell University to execute this project. We would like to thank Ms Bhavani Panjala for preliminary LULC classification
%K GIS, Remote sensing
%A G Murali Krishna
%A P Panjala
%A M Ismail
%A V Pyla
%I ICRISAT
%L icrisat11663
%D 2020
%T Crop type mapping using high-resolution Sentinel-2 Satellite Data– A case study on Gujarat State
%X Mapping following products of Gujarat state using high-resolution Sentinel-2 satellite data
1. Crop type
2. Irrigated and Rainfed area
Major Activities
• Satellite imagery acquisition/ procurement and pre-processing (Sentinel-2, 10&20 m spatial resolution).
• Field information (ground reference data) and farmer interviews at selected locations and collection of validation points.
• Satellite Imagery analysis and interpretation for land use / land cover areas including irrigated and rainfed cultivated areas.