Derivation of Magnitude of Crop Diversity Through NDVI Composite Index Using Sentinel-2 Satellite Imagery
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This paper presents the application of NDVI technique for extracting net sown cropped area of major crops cultivated during the winter season (October–March) and calculation of crop diversity index at Nyaya Panchayat level in Bara Tehsil of Allahabad district. Time series NDVI imagery is generated from the processing of Sentinel-2A MSI L1C product. NDVI composite index that contains intersection of time series NDVI threshold based on crop ground truth data is used to extract pure cropped area. Further, the formula given by Gibbs and Martin (Am Sociol Rev 27, 1962) is used to calculate crop diversity index, which uses only net sown area of crops for measuring diversification of crops at the regional level. Derived net sown area from Sentinel-L2A imagery is simulated with reported data of net sown area compiled by the government at the block level. Further, the net sown area is mapped at village level and result analyzes at Nyaya Panchayat level. The result shows that proportion of cultivated area under each crop is changed at Nyaya Panchayat level with change in topography, soil types, irrigation facilities, and distance from major crop market and smooth road infrastructure under the same geo-climatic and socio-economic conditions.
KeywordsNDVI Sentinel-2A MSI L1C Sentinel-L2A Crop diversity index Net sown area
Author Miss. Deeksha Mishra is indepthly acknowledged University Grant Commission (UGC), New Delhi, for providing financial support through NET-JRF Fellowship scheme; Training Division, National Remote Sensing Centre (NRSC), ISRO, Hyderabad, for giving training opportunity in Geospatial Technologies and its applications; Prof. B.N. Singh for their valuable time and useful and practical suggestions.
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