SPATIO-TEMPORAL TRENDS OF URBANIZATION AND LAND SURFACE TEMPERATURE IN BUNDI CITY, INDIA

This study offers a reasonable investigation of the changes in land use and land cover (LULC) over the course of three decades (1991–2021) in Bundi city of Rajasthan. Remote sensing and GIS are the newest approaches for detecting changes in land use and land cover mapping. Data presentation, quality, and efficiency of the mapping are all enhanced by this technique. To study LULC variations in Bundi city, Landsat images (i.e., Landsat-5 and Landsat-8) obtained in the years 1991, 2001, 2011, and 2021 were used. For this study, a classification embraced of five classes—Crop Land, Barren & Shrubs Land, Vegetation, Water Bodies, and Built-Up Area—were considered. The interactive supervised classification technique was used to identify LULC. The findings of the study can help local governments impose urban planning laws, surge public awareness, and direct legislators in developing long-term sustainable planning and management methods. Land Use/Land Cover (LULC) changes have a large impact on Land Surface Temperature (LST). The LST is an indispensable indicator in environmental and climatological studies to understand the Earth's surface-atmosphere interactions.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-09
DOI
https://doi.org/10.5281/zenodo.17084331
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

SPATIO-TEMPORAL TRENDS OF URBANIZATION AND LAND SURFACE TEMPERATURE IN BUNDI CITY, INDIA

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

SPATIO-TEMPORAL TRENDS OF URBANIZATION AND LAND SURFACE TEMPERATURE IN BUNDI CITY, INDIA

article en

Abstract

This study offers a reasonable investigation of the changes in land use and land cover (LULC) over the course of three decades (1991–2021) in Bundi city of Rajasthan. Remote sensing and GIS are the newest approaches for detecting changes in land use and land cover mapping. Data presentation, quality, and efficiency of the mapping are all enhanced by this technique. To study LULC variations in Bundi city, Landsat images (i.e., Landsat-5 and Landsat-8) obtained in the years 1991, 2001, 2011, and 2021 were used. For this study, a classification embraced of five classes—Crop Land, Barren & Shrubs Land, Vegetation, Water Bodies, and Built-Up Area—were considered. The interactive supervised classification technique was used to identify LULC. The findings of the study can help local governments impose urban planning laws, surge public awareness, and direct legislators in developing long-term sustainable planning and management methods. Land Use/Land Cover (LULC) changes have a large impact on Land Surface Temperature (LST). The LST is an indispensable indicator in environmental and climatological studies to understand the Earth's surface-atmosphere interactions.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 49%
Geochemistry and Geologic Mapping
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