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 and timely information of crop area, production and crop condition etc. is essential for making policy designs regarding procurement, storage, transport, export and import of agricultural produce. The present study was conducted to estimate area and generate crop map of major rabi crops namely wheat and mustard for Jhajjar district using high resolution Sentinel-2A satellite data of rabi season 2015-2016. District boundary of study area was overlaid on the image and all the data elements (pixels) were extracted for analysis. The image was classified using complete enumeration approach and unsupervised Iso-data clustering classifier by applying logical combinations and defining conditions such as number of clusters, threshold, standard deviation etc. To improve the classification accuracy, Normalized Difference Vegetation Index (NDVI) and non-agricultural masks were generated and used during the analysis. Crops and other associated features were identified using ground truth data collected using hand held GPS. Mask of mixed classes was prepared and image under the mask was re-classified to segregate the crops and associated features. Remote sensing based estimates are compared with crop estimates of Department of Agriculture by computing Percent Relative Deviation (%RD) and found to be quite close. Multispectral high resolution data of Sentinel-2A satellite with 10 meter spatial resolution is found to be very useful for the crop acreage estimation and crop map generation for major crops i.e. Wheat and Mustard at district level. Crop map generated in spatial domain will be useful for the planning purposes.
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