|Paper title||:||DETECTION OF LAND USE AND LAND COVER CHANGES USING REMOTE SENSING AND GEOGRAPHICAL INFORMATION SYSTEM (GIS) TECHNIQUES|
|Affiliation||:||JNTUACEA Ananthapuramu, Andhra Pradesh, India|
|Paper Abstract||:||Land use/land cover is a critical part in understanding the interactions of the human activities with the earth and in this manner it is important to screen and distinguish the progressions to keep up a maintainable domain. Digital change detection is the process that aides in deciding the progressions connected with land use and land cover (LULC) properties with reference to georegistered multi temporal remote sensing data. In the recent times, remote sensing and geographical information system (GIS) is extremely profitable and beneficial in giving current land use data. The aim of this study is to investigate the land use, land cover changes in the Hyderabad district of Andhra Pradesh state utilizing multi temporal remote sensing data (Landsat 8 2013, and Landsat 8 2016). Landsat 8 images of Hyderabad are gathered from the USGS Earth Explorer site. After image pre-processing, unsupervised classification has been performed to classify the pictures into various land use classes utilizing ERDAS Imagine 2013 software. The study area is characterized into four classes: Built up area, vegetation region, water bodies and barren land. Classification accuracy is likewise assessed utilizing field knowledge acquired from a topographical map and Google earth. Information on urban development, land use and land cover change study is extremely valuable to nearby government and urban organizers for the improvement without bounds arrangements of feasible advancement of the city. Index terms: Land use/ Land cover, Landsat 8, Remote sensing and GIS techniques.|
|Conference Details||:||IRF International Conference,Hyderabad,23rd October, 2016|
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INTERNATIONAL CONFERENCE ON SCIENCE, TECHNOLOGY ,ENGINEERING AND MANAGEMENT (ICSTEM-2017)View Detail
International Conference on Knowledge, Information, Technology and Sciences - (ICKITS-2016)View Detail
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