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Estimation of agricultural burned affected area using NDVI and dNBR satellite-based empirical models 1 1 Introduction 1 2 Study area 2 3 Materials and methodology 3 3.1 Materials 3 3.2 Sentinel-2a 3 3.3 Active fire data 3 3.4 Methodology 3 3.4.1 Multi-temporal satellite image preprocessing 4 3.4.1.1 Atmospheric correction 4 3.4.2 Classification 4 3.4.3 Generation of indices for detecting the burned pixels 4 3.4.3.1 Normalized Difference Vegetation Index (NDVI) 4 3.4.3.2 Normalized burn ratio (NBR) and dNBR 5 3.4.4 Deriving the threshold for burned pixel identification 5 3.4.4.1 Raster calculation 5 4 Results & discussion 6 4.1 Results 6 4.1.1 Analysis of land use & land cover 6 4.1.2 Accuracy assessment 6 4.1.3 Burned area extraction using NDVI 7 4.1.4 Burned area extraction using dNBR 7 4.1.5 Assessment of burn area extraction 8 4.2 Discussion 8 4.2.1 Burned and unburned surface spectral characteristics 8 4.2.2 Why do the farmers burn the paddy stubbly in the field? 9 4.2.3 Implications of stubble burning 10 5 Conclusion 11 Author contributions 12 Funding 12 Declaration of competing interest 12 Data availability 12 References 12

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Language

EN

Category

nonfiction