Urban Expansion and Climate Change: Spatio-Temporal Analysis of Land Use and Land Cover Changes in Ranchi City, India

This study investigates the spatio-temporal changes in land use and land cover (LU/LC) in Ranchi City from 1999 to 2024 and evaluates their impact on the climate. Satellite imagery from LISS III Resourcesat 1 (NRSC) and LANDSAT 7 (USGS) for the years 1999, 2004, 2009, 2014 and 2024 were utilized. A supervised image classification approach using maximum likelihood classification (MLC) was employed to generate LU/LC maps. To assess the accuracy of these classifications, 400 sample verification points were selected through purposive random sampling. The results indicate a consistent increase in built-up areas, alongside a continued decrease in forest cover, agricultural land, water bodies and open spaces. This transformation underscores significant shifts in land use patterns and provides insights into their potential impacts on local climate dynamics.

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Publication Details

Journal
Disaster Advances
Published
2025-05-31
DOI
https://doi.org/10.25303/187da031038
Primary Topic
Land Use and Ecosystem Services
Type
article
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article

Urban Expansion and Climate Change: Spatio-Temporal Analysis of Land Use and Land Cover Changes in Ranchi City, India

Rashmi Ranjan Das
1 links
Disaster Advances
Land Use and Ecosystem Services
article

Urban Expansion and Climate Change: Spatio-Temporal Analysis of Land Use and Land Cover Changes in Ranchi City, India

Rashmi Ranjan Das
article en

Abstract

This study investigates the spatio-temporal changes in land use and land cover (LU/LC) in Ranchi City from 1999 to 2024 and evaluates their impact on the climate. Satellite imagery from LISS III Resourcesat 1 (NRSC) and LANDSAT 7 (USGS) for the years 1999, 2004, 2009, 2014 and 2024 were utilized. A supervised image classification approach using maximum likelihood classification (MLC) was employed to generate LU/LC maps. To assess the accuracy of these classifications, 400 sample verification points were selected through purposive random sampling. The results indicate a consistent increase in built-up areas, alongside a continued decrease in forest cover, agricultural land, water bodies and open spaces. This transformation underscores significant shifts in land use patterns and provides insights into their potential impacts on local climate dynamics.

Disaster AdvancesVol. 18(7)
Climate action
Openalex Percentile: Top 86%
Land Use and Ecosystem Services
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