Detection of Land Use and Land Cover Changes Using Remote Sensing and Geographical Information System (GIS) Techniques
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.