National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
Accurate estimation of crop area is crucial for agricultural planning and food security. This study focuses on mapping the kharif paddy area in Nagapattinam district, Tamil Nadu, using Sentinel-2 satellite imagery. The high-resolution multispectral data from Sentinel-2A and 2B were processed and analysed through supervised classification using the Maximum Likelihood Classifier (MLC) in ArcGIS. Ground truth data comprising 109 field samples were used for training and validation. False Color Composite (FCC) band combinations were applied to distinguish paddy from other land covers. Results revealed a total paddy area of 41,170.07 ha, with Mayiladuthurai block showing the highest coverage. Accuracy assessment using a confusion matrix yielded an overall accuracy of 91.7%, confirming the reliability of optical remote sensing for large-scale paddy mapping. This approach demonstrates the potential of satellite-based techniques for cost-effective and timely agricultural monitoring, contributing to enhanced decision-making in resource management and policy development.
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Kannan, S., Kaliaperumal, R., Pazhanivelan, S., Kumaraperumal, R., & Sivakumar, K. 2021b. Rice Area Estimation using Sentinel 1A SAR Data in Cauvery Delta Region. Int. J. Curr. Microbiol. App. Sci, 10(2), 848-853.
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