A Remote Sensing Approach for Identifying and Mapping the Coastal Urban Heat Island in Bangladesh through Temperature Modeling
Author: M. R. Ashikur, M. H. Sazzad, R. S. RupomDOI: doi.org/10.70279/bmj-v7-i1-1045
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The coastal urban region is one of the economic hubs of development in Bangladesh and its land use/ land cover (LULC) and land surface temperature (LST) have been changing continuously for massive upliftment which gives the aftermath of the urban heat island (UHI). This study explored the pattern of LULC and LST changes for the years 2010, 2015, and 2020 and identified the hot and cool locations in 2020 of the Khulna Development Authority (KDA) area. Landsat 7 enhanced thematic mapper (ETM) multitemporal images were used and remote sensing (RS) and geographical information system (GIS) techniques were applied for identifying and mapping the output. The results have mentioned that almost 19 % of the buildup area has increased in 2020 compared to 2010 whereas it dominates the loss of wetland vegetation, water bodies, agricultural land, and trees and bushes. The contribution index (CI) has revealed that increasing buildup areas promote to raise in the LST which has increased around 7o C over the past decade. The study also identified that about 28 Mouzas were considered hot islands in 2020. This study will be helpful to understand the impacts of LST change and potential hot and cool islands to propound appropriate policy measures to superintend it.
Item | Value |
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Serial | 12 |
Article PDF | Download |
Total Citation | Click here to view citation data |
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Article Page Views | 552 |
Article Downloads | 2 |
Article Volume | Volume 07 |
Article Issue | Issue 1 |
Article DOI | doi.org/10.70279/bmj-v7-i1-1045 |
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Manuscript Number | |
Status | Show |
Article Slug | a-remote-sensing-approach-for-identifying-and-mapping-the-coastal-urban-heat-island-in-bangladesh-through-temperature-modeling |
Article Keyword | Remote Sensing; Geographical Information System; Land Surface Temperature; Contribution index; Coastal Urban area. |
Article Entry Time | 18:00:40 |
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