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Geospatial analysis using remote sensing and gis; a case study in and around rayachoty, kadapa district, Andhra pradesh, India

Author: 
Sreenivasulu, G., Jayaraju, N., Nagalakshmi, K. and Lakshmi Prasad, T.
Subject Area: 
Social Sciences and Humanities
Abstract: 

Geospatial analysis is used in a wide range of disciplines as a research tool, a decision-making tool, data analysis tool, and/or as a planning tool. Remote Sensing and Geographic Information Systems are used to predict, manage and learn about all kinds of phenomena affecting the earth, its systems and inhabitants. Land use/land cover (LULC) changes play a major role in the study of global change. In this study, Landuse/ Landcover changes are investigated by using of Remote Sensing and Geographical Information System (GIS) in and around Rayachoty, Kadapa District, Andhra Pradesh, India by using satellite image IRS- P6, LISS-III data. Under this study three thematic maps such as location map, drainage map and landuse/ landcover maps were prepared. The land use and land cover analysis on the study area has been attempted based on thematic mapping of the area consisting of built-up land, cultivated land, water bodies, forest land, barren land and uncultivated land using the satellite image. The result shows that the cultivated lands are well distributed throughout the study area and it covers 253.18 sq. km (35.61 per cent). Forest occupies 105.44 sq. km and sharing about 14.83 per cent of the total land use land cover of the study area. The built-up land occupies 3.98 sq. km (0.56 per cent) and there was a rapid expansion of built-up lands. Barren land occupies 156.13 sq. km (21.96 per cent). Water bodies and uncultivated lands occupy 5.19 sq. km (0.73 per cent) and 186.92 sq. km (26.29 per cent) respectively. About the annual rainfall data of six years from 2007 to 2013 shows that the significant decreases tend was observed graphically. Well developed dendritic drainage pattern is there in the study area. The spatial information of the surface will help in the optimal land use planning at the macro and micro level.

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