Crop Type Mapping and Sugarcane Varietal Discrimination using sentinel-2 imagery

The presentation is about the identification and mapping of sugarcane crop and its varieties as it is important for farmers and sugar industry decision makers of the region, for scheduling harvest as well as for agricultural field Management. The objectives of this study were to create spectral library of crops for crop discrimination.  In this study, the reference spectra is prepared from the collected ground data for different crops i.e. Sugarcane, Corn, Wheat, Turmeric and different sugarcane varieties (Co86032, Co91010, Co M265, SNK9293, VSI08005 and  PI1110). Classification was performed by using Spectral Angle Mapper (SAM) which clearly ascertains its efficacy and reliability in retrieving the crop and its variety occurring in an area in an accurate yet quick manner.