IJRR

International Journal of Research and Review

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Year: 2026 | Month: January | Volume: 13 | Issue: 1 | Pages: 425-428

DOI: https://doi.org/10.52403/ijrr.20260140

Dynamics of Land Use Land Cover of Southern India: A Review

Aswathy Asok1, Sabu Joseph1

1Department of Environmental Sciences, University of Kerala, Thiruvananthapuram, 695581, Kerala, India

Corresponding Author: Aswathy Asok

ABSTRACT

Land use land cover (LULC) change detection is pivotal for the understanding and analysis of the interactions and associations of humans and environment. LULC can show the pattern of human usage of land which plays an important role in urbanisation. The study on the change of land use pattern is of great significance as it aligns with the temperature of the area, urban microclimate and sustainable development. This paper reviews the LULC dynamics in the city of Bengaluru, lying to the South of India. The study also focusses on the importance of remote sensing technology for the LULC dynamics analysis. There is no standard for land use classification, which provides a hindrance to the collection and analysis of data. Remote sensing along with GIS proved to be an efficient method for the classification of LULC data. Anthropogenic activities are the major reason for the LULC changes in the study area as it is an urban center. The main aim of the present work is to review the previous work and to analyze the spatio temporal changes in LULC pattern of Bengaluru city. Many articles were reviewed for the process, which focused on LULC classification using software like ArcGIS, ERDAS and QGIS using supervised and unsupervised classification. Previous studies show that there has been a dramatic change of agricultural land use, water body and open areas to build up settlement. Most of the open areas were converted into build up which is a major consequence of urbanisation and population explosion. As a conclusion the reviewed articles show that LULC is a result of human drivers which results in the increase in global urban temperature.

Keywords: LULC, ArcGIS, ERDAS, QGIS.

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