Water and Energy International
SCOPUS
  • Year: 2025
  • Volume: 68r
  • Issue: 8

Dynamics of Land Use and Land Cover In Eluru City, Andhra Pradesh, India using Geospatial Technologies

  • Author:
  • Hemasundar Balina1, T. Rambabu2, G. Suribabu3, K N Murali Krishna4, Shanmathi R. Raju5
  • Total Page Count: 5
  • Page Number: 18 to 22

1Assistant Professor, Department of Civil Engineering, Sri Vasavi Engineering College, Tadepalligudem, Andhra Pradesh, India

2Associate Professor, WET Centre, Department of Civil Engineering, SRKR Engineering College (A), Bhimavaram, Andhra Pradesh, India

3Associate Professor, WET Centre, Department of Civil Engineering, SRKR Engineering College (A), Bhimavaram, A.P, India

4Associate Professor, Department of Civil Engineering, SASI Institute of Technology and Engineering, Tadepalligudem, A.P, India

5Assistant Professor, Department of Civil Engineering, Shri Vishnu Engineering College for Women (A), Bhimavaram, A.P, India

Online Published on 29 December, 2025.

Abstract

This study focuses on Eluru, a municipal corporation covering 620.82 ha in Andhra Pradesh. Using Remote Sensing and Geographic Information System (GIS), it examines land use and land cover (LULC) in the flood plain region between 2010 and 2020. Landsat-8 satellite data was used for assessment during this period. The analysis results show significant changes in the area’s land use and land cover. There was a decrease of 76.67 ha (-12.35%) and 113.05 ha (-18.21%) in water bodies between 2015 and 2010, and a decrease in agricultural land of -94.32 ha (-15.2%) and -32.53 ha (-5.24%) between 2015 and 2010 and 2020 and 2015, respectively. Urban areas, however, experienced a substantial increase of 170.99 ha (27.55%) between 2010 and 2015, and 145.58 ha (23.45%) between 2015 and 2020. The results indicate a clear conversion of water bodies and agricultural land into urban built-up areas. The supervised classification method achieved an overall accuracy of 87.5%, while the unsupervised classification method achieved an accuracy of 65.9%.The results of this research can be used to inform urban planning and management decisions in the city.

Keywords

Remote Sensing, Geographic Information System, Landsat-8, Land use Land cover, Supervised and Unsupervised classification