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Crop-Type Classification Using Sentinel-2A and in Situ Data: Case Study of Shri Dungargarh Taluk of Rajasthan, India

2022; Springer International Publishing; Linguagem: Inglês

10.1007/978-981-16-6879-1_18

2352-2542

Pritam K. Meshram, Kishan Singh Rawat, Sanjeev Kumar, Sudhir Kumar Singh,

Remote-Sensing Image Classification

India has two main types of crops Kharif and Rabi. Rabi crops are sown and harvested in winters (October–March). Remote sensing technique helps to identify and monitor crop health and production. This will help to the agriculturalist, resource managers and planners to provide best decision and achieve the agricultural sustainability. Sentinel-2A and field data were used to identify crop types based on supervised classification (maximum likelihood classifier) approach. For growing season 2019–20 classification results were achieved. The overall accuracy was 87.50%. The main challenge of the present study was to classify wheat, mustard, gram and other crops at high accuracies.