STUDIES ON LAND USE AND LAND COVER OF LOWER SONE BASIN USING REMOTE SENSING AND GIS

MD JAFRI AHSAN¹*, MOHD IMTIYAZ^2
1Vaugh Institute of Agricultural Engineering & Technology, Sam Higginbottom University of Agriculture, Technology & Sciences, Allahabad, 211007, U.P., India
²Vaugh Institute of Agricultural Engineering & Technology, Sam Higginbottom University of Agriculture, Technology & Sciences, Allahabad, 211007, U.P., India
* Corresponding Author : mohdjafriahsan@gmail.com

Received : 11-05-2017     Accepted : 30-05-2017     Published : 18-06-2017
Volume : 9     Issue : 28       Pages : 4368 - 4371
Int J Agr Sci 9.28 (2017):4368-4371

Keywords : Remote Sensing, Geographical Information System, Land Use, Land Cover
Academic Editor : Manikandan A, M. Blessa Binolin Pepsi
Conflict of Interest : None declared
Acknowledgements/Funding : Author are thankful to Vaugh Institute of Agricultural Engineering & Technology, Sam Higginbottom University of Agriculture, Technology & Sciences, Allahabad, 211007, U.P., India
Author Contribution : All author equally contributed

Land use/ land cover is an important component in understanding the interactions of the human activities with the environment and thus it is necessary to monitor and detect the changes to maintain a sustainable environment. The Landsat-8 satellite system has long term data archives and can be used to assess the land cover changes in the landscape to provide information to support future urban planning. In this paper an attempt has been made to studies on land use and land cover of lower Sone basin. The study was carried out through Remote Sensing and GIS. Landsat-8 imagery of 2015. The value of elevation varies from 17–599 m in the study area. In the present study, threshold values of 10% for Land use class, 10% for Soil class and 10% for Slope class are considered, resulting in formation of 158 HRUs in the study area spread over 37 subbasins. The study area was classified water (0.58%), Forest-mixed (5.50%), Sugarcane (5.41%), Rice (79.69%), Tomato (6.23%), Corn (1.53%) and Pine (1.06%). The soil of the study area is divided into sandy- clay- loam (4.34%), sandy- loam (9.91%) and loam (85.75%) on the basis of soil texture. GIS software is used to prepare the thematic maps and ground truth observations were also performed to check the accuracy of the classification. It does not indicate any significant environmental impact on the study area. However, it is necessary to closely monitor the land use/land cover changes for maintaining a sustainable environment.

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