TITLE:
An Appraisal of Land Use/Land Cover Change Scenario of Tummalapalle, Cuddapah Region, India—A Remote Sensing and GIS Perspective
AUTHORS:
Yenamala Sreedhar, Arveti Nagaraju, Gurram Murali Krishna
KEYWORDS:
Remote Sensing and GIS, Image Classification, Land Use/Land Cover, Tummalapalle
JOURNAL NAME:
Advances in Remote Sensing,
Vol.5 No.4,
November
16,
2016
ABSTRACT: The study was aimed at appraising the changing land use/land cover scenario of
Tummalapalle region in Cuddapah district of Andhra Pradesh using Remote sensing
data and GIS technology. The region is considered as it has rich uranium reserves
and is experiencing a remarkable expansion in recent times. The land use/land cover
change analysis was carried out using IRS P6 LISS-III and LANDSAT-8 OLI multitemporal
data pertaining to the years 2006 and 2016. The image classification resulted
in five major land use/land cover classes namely built-up, agricultural, forest,
wasteland and water bodies. The study noticed that the areas under built-up and
agricultural classes are found increased from 0.94 km2 (0.84%) to 2.75 km2 (2.44%)
and 61.68 km2 (54.84%) to 63.91 km2 (56.82%), respectively during 2006-2016. Area
under forest, wasteland and water bodies are found decreased considerably from 3.09
km2 (2.75%) to 0.86 km2 (0.76%), 43.71 km2 (38.56%) to 42.60 km2 (37.88%) and 3.05
km2 (2.71%) to 2.35 km2 (2.09%), respectively. The study recommends development
of industrial based economy by optimally utilizing the existing land resource (scrub
and wasteland classes) and simultaneously extending the agricultural practices to other
possible areas to make them more productive.