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The purpose of this study is to assess mangrove health and urban heat stress over Henry Island in the Sundarban Biosphere Reserve, India, using integrated Landsat-8 and Sentinel-2 datasets. Landsat-8 is employed to estimate Land Surface Temperature (LST), while Sentinel-2 is used to analyze vegetation health through indices like the Normalized Difference Vegetation Index (NDVI) and Mangrove Vegetation Index (MVI), focusing on Green, Red, Near-Infrared, and Thermal bands. A novel Multi-Sensor Vegetation and Thermal Index Calculation (MSVTI) framework is introduced, which integrates these indices with Urban Heat Island (UHI) analysis to explore the impacts of urbanization on mangrove ecosystems. This framework uniquely integrates time-series data with multi-sensor indices in order to analyze dynamic temporal insights and comprehensive environmental stress assessment, thereby permitting precise long-term monitoring as well as robust fine-scaled spatial-environmental assessments tailored specifically to mangrove ecosystems. The paper also incorporates the Thermal and Vegetation Index Estimation from Multispectral TIFF (TVI-TIFF Method) for time-series analysis of long-term trends in mangrove health and thermal stress. Significant spatial variations in vegetation health, moisture content, and urban heat intensity were observed. The findings demonstrate that prolonged urban heat exposure degrades mangrove ecosystems, highlighting the value of time-series data for UHI and LST studies in environmental monitoring.

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Mangrove Health Analysis Using Thermal and Vegetation Index Estimation from Multispectral Data

  • 会议论文

  • 发表日期：

    2026年

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  • Swagatam Adak,
  • Arghyadip Chowdhury,
  • Anindita Das Bhattacharjee

摘要

The purpose of this study is to assess mangrove health and urban heat stress over Henry Island in the Sundarban Biosphere Reserve, India, using integrated Landsat-8 and Sentinel-2 datasets. Landsat-8 is employed to estimate Land Surface Temperature (LST), while Sentinel-2 is used to analyze vegetation health through indices like the Normalized Difference Vegetation Index (NDVI) and Mangrove Vegetation Index (MVI), focusing on Green, Red, Near-Infrared, and Thermal bands. A novel Multi-Sensor Vegetation and Thermal Index Calculation (MSVTI) framework is introduced, which integrates these indices with Urban Heat Island (UHI) analysis to explore the impacts of urbanization on mangrove ecosystems. This framework uniquely integrates time-series data with multi-sensor indices in order to analyze dynamic temporal insights and comprehensive environmental stress assessment, thereby permitting precise long-term monitoring as well as robust fine-scaled spatial-environmental assessments tailored specifically to mangrove ecosystems. The paper also incorporates the Thermal and Vegetation Index Estimation from Multispectral TIFF (TVI-TIFF Method) for time-series analysis of long-term trends in mangrove health and thermal stress. Significant spatial variations in vegetation health, moisture content, and urban heat intensity were observed. The findings demonstrate that prolonged urban heat exposure degrades mangrove ecosystems, highlighting the value of time-series data for UHI and LST studies in environmental monitoring.