R. UPADHYAY1*, A. SINGH2, P. SHRIVASTAV3, S. THAKUR4
1Department of Soil and Water Engineering, JNKVV, Jabalpur - 482 004, MP, India.
2Department of Soil Science & Agriculture, Chemistry, RVSKVV, Gwalior - 474 002, MP, India.
3Krishi Vigyan Kendra, Narsinghpur - 487 001, MP, India.
4Department of Soil and Water Engineering, JNKVV, Jabalpur - 482 004, MP, India.
* Corresponding Author : akhileshsingh01@gmail.com
Received : 22-02-2015 Accepted : 02-05-2015 Published : 07-05-2015
Volume : 7 Issue : 1 Pages : 422 - 426
Int J Agr Sci 7.1 (2015):422-426
Keywords : Land use/Land cover, Image Classification, Reference Data, Accuracy Assessment, Kappa Statistic
Academic Editor : Dr. Satyendra Nath
Conflict of Interest : None declared
Land is a finite natural resource and there is no scope to increase the area under cultivation. Moreover, this is becoming scarce resource due to immense agricultural and demographic pressure. Systematic study of any place requires information regarding the land use/land cover of particular place to perform wide variety of tasks. Remote Sensing can provide important data for land use/land cover mapping. In the present study, satellite data IRS P6 LISS III for Bhind district, Madhya Pradesh was classified using supervised classification. Satellite data classification accuracy was also performed and resulted in overall accuracy as 95.75%.