Analyzing Ecological Environmental Quality Trends in Dhaka Through Remote Sensing Based Ecological Index (RSEI)
Assessing the ecological environmental quality (EEQ) is crucial for protecting the environment. Dhaka’s rapid, unplanned urbanization, driven by economic and social growth, poses significant eco-environmental challenges. Spatiotemporal ecological and environmental quality changes were assessed using...
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MDPI AG
2025-06-01
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| author | Md. Mahmudul Hasan Md Tasim Ferdous Md. Talha Pratik Mojumder Sujit Kumar Roy Md. Nasim Fardous Zim Most. Mitu Akter N M Refat Nasher Fahdah Falah Ben Hasher Martin Boltižiar Mohamed Zhran |
| author_facet | Md. Mahmudul Hasan Md Tasim Ferdous Md. Talha Pratik Mojumder Sujit Kumar Roy Md. Nasim Fardous Zim Most. Mitu Akter N M Refat Nasher Fahdah Falah Ben Hasher Martin Boltižiar Mohamed Zhran |
| author_sort | Md. Mahmudul Hasan |
| collection | DOAJ |
| description | Assessing the ecological environmental quality (EEQ) is crucial for protecting the environment. Dhaka’s rapid, unplanned urbanization, driven by economic and social growth, poses significant eco-environmental challenges. Spatiotemporal ecological and environmental quality changes were assessed using remote sensing based ecological index (RSEI) maps derived from Landsat images (1993, 2003, 2013, and 2023). RSEI was based on four indicators—greenness (NDVI), heat index (LST), dryness (NDBSI), and wetness (LSM). Landsat 5 TM and 8 OLI/TIRS images were processed on Google Earth Engine (GEE), with principal component analysis (PCA) applied to determine RSEI. The findings showed a decline in the overall RSEI (1993–2023), with low- and very low-quality areas increasing by about 39% and high- and very high-quality areas decreasing by 24% of the total area. NDBSI and LST were negatively correlated with RSEI, except in 1993, while NDVI and LSM were generally positive but negative in 1993. The global Moran’s I (0.88–0.93) indicated strong spatial correlation in the distribution of EEQ across Dhaka. LISA cluster maps showed high-high clusters in the northeast and east, while low-low clusters were concentrated in the northwest. This research examines the degradation of ecological conditions over time in Dhaka and provides valuable insights for policymakers to address environmental issues and improve future ecological management. |
| format | Article |
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| institution | Kabale University |
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| language | English |
| publishDate | 2025-06-01 |
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| series | Land |
| spelling | doaj-art-0df99805300b45299ed9bddce65a6aff2025-08-20T03:27:23ZengMDPI AGLand2073-445X2025-06-01146125810.3390/land14061258Analyzing Ecological Environmental Quality Trends in Dhaka Through Remote Sensing Based Ecological Index (RSEI)Md. Mahmudul Hasan0Md Tasim Ferdous1Md. Talha2Pratik Mojumder3Sujit Kumar Roy4Md. Nasim Fardous Zim5Most. Mitu Akter6N M Refat Nasher7Fahdah Falah Ben Hasher8Martin Boltižiar9Mohamed Zhran10Department of Geography & Environment, Jagannath University, Dhaka 1100, BangladeshDepartment of Geography & Environment, Jagannath University, Dhaka 1100, BangladeshDepartment of Geography & Environment, Jagannath University, Dhaka 1100, BangladeshDepartment of Environmental Science and Disaster Management, Daffodil International University, Dhaka 1216, BangladeshInstitute of Water and Flood Management, Bangladesh University of Engineering and Technology, Dhaka 1000, BangladeshDepartment of Disaster Management, Begum Rokeya University, Rangpur 5404, BangladeshDepartment of Geography & Environment, Jagannath University, Dhaka 1100, BangladeshDepartment of Geography & Environment, Jagannath University, Dhaka 1100, BangladeshDepartment of Geography and Environmental Sustainability, College of Humanities and Social Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi ArabiaDepartment of Geography, Geoinformatics and Regional Development, Faculty of Natural Sciences and Informatics, Constantine the Philosopher University in Nitra, 949 01 Nitra, SlovakiaPublic Works Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 35516, EgyptAssessing the ecological environmental quality (EEQ) is crucial for protecting the environment. Dhaka’s rapid, unplanned urbanization, driven by economic and social growth, poses significant eco-environmental challenges. Spatiotemporal ecological and environmental quality changes were assessed using remote sensing based ecological index (RSEI) maps derived from Landsat images (1993, 2003, 2013, and 2023). RSEI was based on four indicators—greenness (NDVI), heat index (LST), dryness (NDBSI), and wetness (LSM). Landsat 5 TM and 8 OLI/TIRS images were processed on Google Earth Engine (GEE), with principal component analysis (PCA) applied to determine RSEI. The findings showed a decline in the overall RSEI (1993–2023), with low- and very low-quality areas increasing by about 39% and high- and very high-quality areas decreasing by 24% of the total area. NDBSI and LST were negatively correlated with RSEI, except in 1993, while NDVI and LSM were generally positive but negative in 1993. The global Moran’s I (0.88–0.93) indicated strong spatial correlation in the distribution of EEQ across Dhaka. LISA cluster maps showed high-high clusters in the northeast and east, while low-low clusters were concentrated in the northwest. This research examines the degradation of ecological conditions over time in Dhaka and provides valuable insights for policymakers to address environmental issues and improve future ecological management.https://www.mdpi.com/2073-445X/14/6/1258RSEIecologyspatio-temporal changesspatial auto-correlation analysisDhaka |
| spellingShingle | Md. Mahmudul Hasan Md Tasim Ferdous Md. Talha Pratik Mojumder Sujit Kumar Roy Md. Nasim Fardous Zim Most. Mitu Akter N M Refat Nasher Fahdah Falah Ben Hasher Martin Boltižiar Mohamed Zhran Analyzing Ecological Environmental Quality Trends in Dhaka Through Remote Sensing Based Ecological Index (RSEI) Land RSEI ecology spatio-temporal changes spatial auto-correlation analysis Dhaka |
| title | Analyzing Ecological Environmental Quality Trends in Dhaka Through Remote Sensing Based Ecological Index (RSEI) |
| title_full | Analyzing Ecological Environmental Quality Trends in Dhaka Through Remote Sensing Based Ecological Index (RSEI) |
| title_fullStr | Analyzing Ecological Environmental Quality Trends in Dhaka Through Remote Sensing Based Ecological Index (RSEI) |
| title_full_unstemmed | Analyzing Ecological Environmental Quality Trends in Dhaka Through Remote Sensing Based Ecological Index (RSEI) |
| title_short | Analyzing Ecological Environmental Quality Trends in Dhaka Through Remote Sensing Based Ecological Index (RSEI) |
| title_sort | analyzing ecological environmental quality trends in dhaka through remote sensing based ecological index rsei |
| topic | RSEI ecology spatio-temporal changes spatial auto-correlation analysis Dhaka |
| url | https://www.mdpi.com/2073-445X/14/6/1258 |
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