SPATIAL DISTRIBUTION OF CROP MAPPING OF NARSINGHPUR DISTRICT, MADHYA PRADESH

RENU UPADHYAY¹*, R.K. NEMA², M.K. AWASTHI³, Y.K. TIWARI^4
1Department of Soil and Water Engineering, College of Agricultural Engineering, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, 482004, Madhya Pradesh, India
²Department of Soil and Water Engineering, College of Agricultural Engineering, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, 482004, Madhya Pradesh, India
³Department of Soil and Water Engineering, College of Agricultural Engineering, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, 482004, Madhya Pradesh, India
⁴Department of Soil and Water Engineering, College of Agricultural Engineering, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, 482004, Madhya Pradesh, India
* Corresponding Author : renu.shukla09@gmail.com

Received : 13-07-2017     Accepted : 18-07-2017     Published : 06-08-2017
Volume : 9     Issue : 36       Pages : 4538 - 4541
Int J Agr Sci 9.36 (2017):4538-4541

Keywords : Remote Sensing, GIS, Crop Map, Crop Classification
Academic Editor : Dr Akhilesh Singh, Sourabh Nema, Subhash Thakur
Conflict of Interest : None declared
Acknowledgements/Funding : Author thankful to Department of Soil and Water Engineering, College of Agricultural Engineering, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Krishinagar, Adhartal, Jabalpur, 482004, Madhya Pradesh, India
Author Contribution : All author equally contributed

Cutting-edge remote sensing technology has a significant role for managing the natural resources as well as the any other applications about the earth observation. Crop monitoring is the one of these applications since remote sensing provides us accurate, up-to-date and cost-effective information about the crop types at the different temporal and spatial resolution. In this study, satellite data Landsat 8 for Narsinghpur district, Madhya Pradesh was classified using supervised classification. Satellite data classification accuracy was also performed and resulted in overall accuracy as 87.60%.

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