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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

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Original Research Articles

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 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2019.8(11): 1134-1140
DOI: https://doi.org/10.20546/ijcmas.2019.811.133


Mapping Area under Major Rabi Crops in Jhajjar District of Haryana using Geoinformatics
Sushma Bisht*, Ravindra Prawasi, R.S. Hooda, Manoj Yadav and Satyawan
Department of Science & Technology, Haryana Space Applications Centre (HARSAC), Haryana, CCS HAU Campus, Hisar 125004, India
*Corresponding author
Abstract:

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.


Keywords: Rabi crops, Sentinel-2A, High resolution, Remote Sensing, NDVI, Ground Truth data
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How to cite this article:

Sushma Bisht, Ravindra Prawasi, R.S. Hooda, Manoj Yadav and Satyawan. 2019. Mapping Area under Major Rabi Crops in Jhajjar District of Haryana using Geoinformatics.Int.J.Curr.Microbiol.App.Sci. 8(11): 1134-1140. doi: https://doi.org/10.20546/ijcmas.2019.811.133