Remote Sensing and Gis Based Land Use and Land Cover Information of Medchal Mandalof Medchal District
Kavita Singh1, M. Anji Reddy2, Naveen Kumar B3

1Dr. Kavita Singh, Associate Professor, Dept. of CE, Malla Reddy Institute of Technology, Hyderabad, Telangana, India.
2Dr. M. Anji Reddy, Professor and Directorate of Research and Development Cell, JNTU Hyderabad,Telangana, India.
3Naveen Kumar B, Assistant Professor, Civil department, Malla Reddy Institute of Technology, Hyderabad, Telangana, India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 4682-4685 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B5127129219/2019©BEIESP | DOI: 10.35940/ijeat.B5127.129219
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Abstract: It is exceptionally significant to use GIS and remote sensing application for proficient need in daily life. Upcoming and contemporary technologies like data processing, earth observation geodata processing and investigation are necessary for the researcher for the development of the society on a large scale. Remote sensing information data both in digital format and image format is utilized for retrieving the information about land resources by using (DIP) digital Interpretation Techniques and (VIP) Visual interpretation techniques Techniques. The foremost objective of the given study area is to Setup land use and land cover information system to evaluate land resources by by means of GIS Remote Sensing at Arc GIS10.2.1 platform of MedchalMandal. GIS and Remote Sensing information is the ultimate solution for the coverage of large area. Different types of layers are created from Remote Sensing images data and ArcGIS 10.2.1 Software. In the present study analysis is carried out by primary information which was generated from remote sensing data. GIS is Decision support system which helps planners and Decision makers to take correct decision for sustainable development, it also helps developers, engineers in environmental study, town planning and resource management.
Keywords: Remote Sensing, GIS, landuse/Landcover, Resource management, Town Planning.