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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39 For more details click here
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
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 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(9): 1139-1145
DOI: https://doi.org/10.20546/ijcmas.2020.909.141


Identification of Cropping Pattern in Khadambe bk. using Sentinel 2 Images and Arc GIS Software
A. Chavan*, P. S. Bodake, C. B. Pande, A. A. Atre, S. D. Gorantiwar and A. D. Raut
Center for Advanced Agriculture Science and Technology for Climate-Smart Agriculture and Water Management, MPKV, Rahuri, Maharashtra, India
*Corresponding author
Abstract:

Cropping pattern has undergone dramatic changes worldwide due to the effects of climate changes and human management activities. Cropping pattern is an major factor contributing to crop yield and food security at local, regional and national scales, and is a critical input data variable for many global climate, land surface, and crop models. Hence for creating annual cropping intensity maps at huge scales, MODIS images have difficulty with mixed land cover types within a pixel. Hence to generate cropping pattern maps over large spatial domains at high spatial resolution by Sentinel-2 time series image data for January 2019 using the Arc GIS software. In this pilot study, we report cropping pattern maps for January 2019 at spatial resolution over selected areas of Rahuri Tahsil. In this we compare area of selected village by using normalized different vegetation index (NDVI) and by Supervised classification. In normalized different vegetation index (NDVI) classification Kharif crop has highest area and in Supervised classification Soybean has highest area.


Keywords: Cropping pattern, NDVI, Arc Map, Sentinel 2
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How to cite this article:

Chavan, K. A., P. S. Bodake, C. B. Pande, A. A. Atre,  S. D. Gorantiwar and Raut, A. D. 2020. Identification of Cropping Pattern in Khadambe bk. using Sentinel 2 Images and Arc GIS Software.Int.J.Curr.Microbiol.App.Sci. 9(9): 1139-1145. doi: https://doi.org/10.20546/ijcmas.2020.909.141