Follow
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 2018 - IJCMAS--ICV 2018: 95.39 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020]For more details click here

Login as a Reviewer

Indexed in



National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

See Guidelines to Authors
Current Issues

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.2018.7(5): 3011-3018
DOI: https://doi.org/10.20546/ijcmas.2018.705.350


Spatial Crop Mapping and Accuracy Assessment Using Remote Sensing and GIS in Tawa Command
S. Nema1*, M.K. Awasthi2 and R.K. Nema3
1National Institute of Hydrology, Roorkee-247667, India
2Department of soil and Water Engineering
3Department of soil and Water Engineering, J.N.K.V.V., Jabalpur-482004, India
*Corresponding author
Abstract:

Agricultural production monitoring through remote sensing and GIS can support decision-making and prioritization efforts towards sustainable vulnerable parts of agricultural systems. Crop mapping process is the one of these applications since remote sensing provides us precise, up-to-date and cost-effective information about the land use and cropping pattern along with different temporal and spatial resolution. In this study, spatial crop mapping was done using satellite Landsat 8 data for Hoshangabad district, Madhya Pradesh. A Supervised classification – Satellite data classification accuracy was also performed and resulted in overall accuracy as 87.60%.


Keywords: Remote sensing, GIS, Crop map, Crop classification
Download this article as Download

How to cite this article:

Nema, S., M.K. Awasthi and Nema, R.K. 2018. Spatial Crop Mapping and Accuracy Assessment Using Remote Sensing and GIS in Tawa Command.Int.J.Curr.Microbiol.App.Sci. 7(5): 3011-3018. doi: https://doi.org/10.20546/ijcmas.2018.705.350