Scholarlink

Urban heat islands (UHIs) pose significant challenges to urban areas, contributing to increased air pollution, elevated daytime temperatures, and reduced night-time cooling. In order to reduce the negative effects of urban heat islands (UHIs) and support sustainable urban development, it is essential to comprehend the geographical and temporal characteristics of land surface temperature (LST), Normalised Difference Build-up Index (NDBI), and Normalised Difference Vegetation Index (NDVI). This study examines LST, NDBI, and NDVI in Rudrapur City, Uttarakhand, India, across several seasons using data from Landsat 8. Significant geographical variations in LST are revealed by statistical and spatial analysis, with built-up areas showing higher temperatures. Strong positive connections between NDBI values and LST are evident, especially in the spring and summer. Seasonal variations are seen in the NDVI, which consistently displays strong negative relationships with the NDBI in all seasons. These findings underscore the importance of vegetation in reducing UHI effects. The study emphasizes the role of NDBI as an indicator for UHI effects and underscores the importance of incorporating green spaces and sustainable urban planning practices to reduce heat islands in urban areas, thereby improving the overall quality of urban landscapes.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Seasonal Dynamics and Interrelationships of Land Surface Temperature, Normalized Difference Built-Up Index and Normalized Difference Vegetation Index in Rudrapur City Using Remote Sensing

  • 章节

  • 发表日期：

    2025年

查看全文
  • Sonu Kaur

摘要

Urban heat islands (UHIs) pose significant challenges to urban areas, contributing to increased air pollution, elevated daytime temperatures, and reduced night-time cooling. In order to reduce the negative effects of urban heat islands (UHIs) and support sustainable urban development, it is essential to comprehend the geographical and temporal characteristics of land surface temperature (LST), Normalised Difference Build-up Index (NDBI), and Normalised Difference Vegetation Index (NDVI). This study examines LST, NDBI, and NDVI in Rudrapur City, Uttarakhand, India, across several seasons using data from Landsat 8. Significant geographical variations in LST are revealed by statistical and spatial analysis, with built-up areas showing higher temperatures. Strong positive connections between NDBI values and LST are evident, especially in the spring and summer. Seasonal variations are seen in the NDVI, which consistently displays strong negative relationships with the NDBI in all seasons. These findings underscore the importance of vegetation in reducing UHI effects. The study emphasizes the role of NDBI as an indicator for UHI effects and underscores the importance of incorporating green spaces and sustainable urban planning practices to reduce heat islands in urban areas, thereby improving the overall quality of urban landscapes.