Publication Date:
2022
Description:
〈p〉〈em〉Land use and landcover (LULC) change has become a critical component of current methods for not just urban planning but also managing a region's natural resources. The focus of this research is to evaluate the LULC scenario that occurred in Yellanuru Mandal of Anantapur district, AP, India between 2010 and 2020 using Remote Sensing (RS) and Geographical Information Systems (GIS). This study was conducted by gathering Landsat data over a decade, from 2010 to 2020, using ERDAS Imagine 2014 and Arc GIS software, and generating a LULC map using a supervised classification approach. The research region's LULC is divided into five types: vegetation, fallow land, agricultural land, developed land, and water bodies/river. Our findings suggest that satellite data are well adapted to classifying land use/land cover at the subpixel level, where land use categories are linked with homogenous land cover.〈/em〉〈/p〉
Print ISSN:
2321-421X
Electronic ISSN:
2230-7990
Topics:
Geography
,
Geosciences
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