Scholarlink

Urban heat islands (UHIs) are urban areas that experience significantly higher temperatures compared to their rural surroundings, primarily due to anthropogenic activities and unplanned urban development. This temperature disparity is often more pronounced at night and during the summer and winter months. The key drivers of UHIs include the disruption of natural settings and modifications to land surface areas. This study investigates the relationship between land surface temperature (LST) and biophysical parameters in a selected urban area. Satellite data from 1990, 2000, and 2019 were utilized to retrieve LST and biophysical parameters such as the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Normalized Difference Built-up Index (NDBI), and Normalized Difference Built-up and Bareness Index (NDBaI). The analysis focused on understanding the temporal changes in these indices and their influence on LST. The results indicate a strong negative correlation between LST and NDVI across all time periods, signifying that higher LST levels are associated with lower vegetation cover. In 1990, the correlation coefficient between LST and NDVI was − 0.89362, while positive correlations were observed between LST and other indices such as NDBI (0.996885), NDBaI (0.9991), and NDWI (0.9825). Similar trends were noted for 2000, with an even stronger negative correlation between LST and NDVI (− 0.97869) and positive correlations with NDBI (0.952897), NDBaI (0.993283), and NDWI (0.960556). By 2019, the correlation between LST and NDVI remained significantly negative (− 0.9411), and the positive correlations with NDBI (0.94735), NDBaI (0.991199), and NDWI (0.933233) persisted.

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

Investigating Urban Heat Island Effects and Mitigation Strategies in Ahmedabad, India

  • 章节

  • 发表日期：

    2026年

查看全文
  • Pradeep Kumar Rajput,
  • Durgesh Singh

摘要

Urban heat islands (UHIs) are urban areas that experience significantly higher temperatures compared to their rural surroundings, primarily due to anthropogenic activities and unplanned urban development. This temperature disparity is often more pronounced at night and during the summer and winter months. The key drivers of UHIs include the disruption of natural settings and modifications to land surface areas. This study investigates the relationship between land surface temperature (LST) and biophysical parameters in a selected urban area. Satellite data from 1990, 2000, and 2019 were utilized to retrieve LST and biophysical parameters such as the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Normalized Difference Built-up Index (NDBI), and Normalized Difference Built-up and Bareness Index (NDBaI). The analysis focused on understanding the temporal changes in these indices and their influence on LST. The results indicate a strong negative correlation between LST and NDVI across all time periods, signifying that higher LST levels are associated with lower vegetation cover. In 1990, the correlation coefficient between LST and NDVI was − 0.89362, while positive correlations were observed between LST and other indices such as NDBI (0.996885), NDBaI (0.9991), and NDWI (0.9825). Similar trends were noted for 2000, with an even stronger negative correlation between LST and NDVI (− 0.97869) and positive correlations with NDBI (0.952897), NDBaI (0.993283), and NDWI (0.960556). By 2019, the correlation between LST and NDVI remained significantly negative (− 0.9411), and the positive correlations with NDBI (0.94735), NDBaI (0.991199), and NDWI (0.933233) persisted.