A Geospatial Analysis of Correlation Between Built-up Area and Vegetation Coverage using Google Earth Engine in Saint Martin Island, Bangladesh

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Year : 2025 | Volume :16 | Issue : 01 | Page : 11-20
By
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Md. Jakir Hossain,

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Md. Munir Mahmud,

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Sheikh Tawhidul Islam,

  1. Student, Department of Remote Sensing & GIS, Jahangirnagar University, Dhaka, Bangladesh
  2. Assistant Professor, Department of Remote Sensing & GIS, Jahangirnagar University, Dhaka, Bangladesh
  3. Professor, Department of Remote Sensing & GIS, Jahangirnagar University, Dhaka, Bangladesh

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Background: This study explores the complex interconnection between expanding human settlements and fluctuating plant life on the island of Saint Martin, Bangladesh, utilizing cutting-edge geospatial techniques through the open-source Google Earth Engine platform. The rapid population boom in Bangladesh and tourism-fueled development on Saint Martin Island stir serious worries about their ecological consequences. Methods: Remote sensing data sourced from Landsat 5 TM and Landsat 8 OLI/TIRS satellites between 1991 and 2022 were leveraged to dynamically calculate the Normalized Difference Vegetation Index and Normalized Difference Built-up Index, exposing variations over time. Regression investigation uncovers the relationship between urban density and green coverage by scrutinizing the change of NDBI and NDVI within Land Use classifications. The methodology is transparently documented in appendices, ensuring accuracy and replicability. Results: A faint inverse link between NDVI and NDBI was found, implying construction has a minimal impact on greenery. Clear patterns emerge in built zones examining NDBI values, with 1991 showing the highest urbanization levels. In 2022, findings indicated a moderate adverse connection between the plant index and development index. However, 1991, 2001 and 2011 saw a weak linear negative correlation, suggesting buildings marginally impact vegetation worth. Conclusions: This research enhances comprehension of urbanization’s effects on plants, providing valuable insights for sustainable city planning and land management. The study spotlights Earth Engine’s analytical prowess for geospatial inquiries across diverse settings.

Keywords: Built-up, Vegetation, NDVI, NDBI, Correlation, Geospatial Analysis, GEE, Saint Martin Island

[This article belongs to Journal of Remote Sensing & GIS (jorsg)]

How to cite this article:
Md. Jakir Hossain, Md. Munir Mahmud, Sheikh Tawhidul Islam. A Geospatial Analysis of Correlation Between Built-up Area and Vegetation Coverage using Google Earth Engine in Saint Martin Island, Bangladesh. Journal of Remote Sensing & GIS. 2024; 16(01):11-20.
How to cite this URL:
Md. Jakir Hossain, Md. Munir Mahmud, Sheikh Tawhidul Islam. A Geospatial Analysis of Correlation Between Built-up Area and Vegetation Coverage using Google Earth Engine in Saint Martin Island, Bangladesh. Journal of Remote Sensing & GIS. 2024; 16(01):11-20. Available from: https://journals.stmjournals.com/jorsg/article=2024/view=0

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Regular Issue Subscription Review Article
Volume 16
Issue 01
Received 26/11/2024
Accepted 10/12/2024
Published 24/12/2024
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