Cargando…
A GIS and remote sensing approach for measuring summer-winter variation of land use and land cover indices and surface temperature in Dhaka district, Bangladesh
Rapid urbanization has induced land use and land cover change (LULC) that increases land surface temperature (LST). Analyzing seasonal variations of LULC and LST is a precondition for mitigating heat island effects and promoting a sustainable living environment. The objective of this study is to exp...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424964/ https://www.ncbi.nlm.nih.gov/pubmed/36051265 http://dx.doi.org/10.1016/j.heliyon.2022.e10309 |
_version_ | 1784778342739738624 |
---|---|
author | Sresto, Mizbah Ahmed Siddika, Sharmin Fattah, Md. Abdul Morshed, Syed Riad Morshed, Md. Manjur |
author_facet | Sresto, Mizbah Ahmed Siddika, Sharmin Fattah, Md. Abdul Morshed, Syed Riad Morshed, Md. Manjur |
author_sort | Sresto, Mizbah Ahmed |
collection | PubMed |
description | Rapid urbanization has induced land use and land cover change (LULC) that increases land surface temperature (LST). Analyzing seasonal variations of LULC and LST is a precondition for mitigating heat island effects and promoting a sustainable living environment. The objective of this study is to explore the association between the seasonal LST dynamics and LULC indices for the Dhaka district of Bangladesh. The LULC indices are comprised of the Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI), Normalized Difference Bareness Index (NDBAI), and Modified Normalized Difference Water Index (MNDWI). The results show that the LULC effect on LST in Dhaka is significant, with an increase in summer season LST from 34.58 °C to 37.66 °C and in winter season LST from 24.710C to 26.24 °C. Predictably, the highest and lowest LST values were observed in the built-up and vegetation-covered areas, respectively. Secondly, the correlation values indicate a significant inverse correlation (R(2) > 0.50) between NDVI and LST, as well as MNDWI and LST. On the contrary, positive correlations were observed between NDBI and LST, and between NDBAI and LST for both the summer and winter seasons. Finally, subsequent vegetation decline (-69.34%) and increasing built-up area (+11.30%) between 2000 and 2020 in Dhaka district were found to be the most significant factors for the increasing trend and spatial heterogeneity of LST in Dhaka. The methodological approach of this study offers a low-cost efficient technique for monitoring LST hotspots, which can guide land use planners and urban managers for spatial intervention to ensure a livable environment. |
format | Online Article Text |
id | pubmed-9424964 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-94249642022-08-31 A GIS and remote sensing approach for measuring summer-winter variation of land use and land cover indices and surface temperature in Dhaka district, Bangladesh Sresto, Mizbah Ahmed Siddika, Sharmin Fattah, Md. Abdul Morshed, Syed Riad Morshed, Md. Manjur Heliyon Research Article Rapid urbanization has induced land use and land cover change (LULC) that increases land surface temperature (LST). Analyzing seasonal variations of LULC and LST is a precondition for mitigating heat island effects and promoting a sustainable living environment. The objective of this study is to explore the association between the seasonal LST dynamics and LULC indices for the Dhaka district of Bangladesh. The LULC indices are comprised of the Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI), Normalized Difference Bareness Index (NDBAI), and Modified Normalized Difference Water Index (MNDWI). The results show that the LULC effect on LST in Dhaka is significant, with an increase in summer season LST from 34.58 °C to 37.66 °C and in winter season LST from 24.710C to 26.24 °C. Predictably, the highest and lowest LST values were observed in the built-up and vegetation-covered areas, respectively. Secondly, the correlation values indicate a significant inverse correlation (R(2) > 0.50) between NDVI and LST, as well as MNDWI and LST. On the contrary, positive correlations were observed between NDBI and LST, and between NDBAI and LST for both the summer and winter seasons. Finally, subsequent vegetation decline (-69.34%) and increasing built-up area (+11.30%) between 2000 and 2020 in Dhaka district were found to be the most significant factors for the increasing trend and spatial heterogeneity of LST in Dhaka. The methodological approach of this study offers a low-cost efficient technique for monitoring LST hotspots, which can guide land use planners and urban managers for spatial intervention to ensure a livable environment. Elsevier 2022-08-18 /pmc/articles/PMC9424964/ /pubmed/36051265 http://dx.doi.org/10.1016/j.heliyon.2022.e10309 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Sresto, Mizbah Ahmed Siddika, Sharmin Fattah, Md. Abdul Morshed, Syed Riad Morshed, Md. Manjur A GIS and remote sensing approach for measuring summer-winter variation of land use and land cover indices and surface temperature in Dhaka district, Bangladesh |
title | A GIS and remote sensing approach for measuring summer-winter variation of land use and land cover indices and surface temperature in Dhaka district, Bangladesh |
title_full | A GIS and remote sensing approach for measuring summer-winter variation of land use and land cover indices and surface temperature in Dhaka district, Bangladesh |
title_fullStr | A GIS and remote sensing approach for measuring summer-winter variation of land use and land cover indices and surface temperature in Dhaka district, Bangladesh |
title_full_unstemmed | A GIS and remote sensing approach for measuring summer-winter variation of land use and land cover indices and surface temperature in Dhaka district, Bangladesh |
title_short | A GIS and remote sensing approach for measuring summer-winter variation of land use and land cover indices and surface temperature in Dhaka district, Bangladesh |
title_sort | gis and remote sensing approach for measuring summer-winter variation of land use and land cover indices and surface temperature in dhaka district, bangladesh |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424964/ https://www.ncbi.nlm.nih.gov/pubmed/36051265 http://dx.doi.org/10.1016/j.heliyon.2022.e10309 |
work_keys_str_mv | AT srestomizbahahmed agisandremotesensingapproachformeasuringsummerwintervariationoflanduseandlandcoverindicesandsurfacetemperatureindhakadistrictbangladesh AT siddikasharmin agisandremotesensingapproachformeasuringsummerwintervariationoflanduseandlandcoverindicesandsurfacetemperatureindhakadistrictbangladesh AT fattahmdabdul agisandremotesensingapproachformeasuringsummerwintervariationoflanduseandlandcoverindicesandsurfacetemperatureindhakadistrictbangladesh AT morshedsyedriad agisandremotesensingapproachformeasuringsummerwintervariationoflanduseandlandcoverindicesandsurfacetemperatureindhakadistrictbangladesh AT morshedmdmanjur agisandremotesensingapproachformeasuringsummerwintervariationoflanduseandlandcoverindicesandsurfacetemperatureindhakadistrictbangladesh AT srestomizbahahmed gisandremotesensingapproachformeasuringsummerwintervariationoflanduseandlandcoverindicesandsurfacetemperatureindhakadistrictbangladesh AT siddikasharmin gisandremotesensingapproachformeasuringsummerwintervariationoflanduseandlandcoverindicesandsurfacetemperatureindhakadistrictbangladesh AT fattahmdabdul gisandremotesensingapproachformeasuringsummerwintervariationoflanduseandlandcoverindicesandsurfacetemperatureindhakadistrictbangladesh AT morshedsyedriad gisandremotesensingapproachformeasuringsummerwintervariationoflanduseandlandcoverindicesandsurfacetemperatureindhakadistrictbangladesh AT morshedmdmanjur gisandremotesensingapproachformeasuringsummerwintervariationoflanduseandlandcoverindicesandsurfacetemperatureindhakadistrictbangladesh |