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Assessment of remote sensing-based indices for drought monitoring in the north-western region of Bangladesh
Drought is a widespread hazard that can tremendously affect the biodiversity, habitat of wild species, and ecosystem functioning and stability, especially in the dry region. Due to its geographic location, the north-western region of Bangladesh has a comparatively arid climate which is very much sus...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900510/ https://www.ncbi.nlm.nih.gov/pubmed/36755601 http://dx.doi.org/10.1016/j.heliyon.2023.e13016 |
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author | Das, Ashim C. Shahriar, Shihab A. Chowdhury, Md A. Hossain, Md Lokman Mahmud, Shahed Tusar, Md Kamruzzaman Ahmed, Romel Salam, Mohammed Abdus |
author_facet | Das, Ashim C. Shahriar, Shihab A. Chowdhury, Md A. Hossain, Md Lokman Mahmud, Shahed Tusar, Md Kamruzzaman Ahmed, Romel Salam, Mohammed Abdus |
author_sort | Das, Ashim C. |
collection | PubMed |
description | Drought is a widespread hazard that can tremendously affect the biodiversity, habitat of wild species, and ecosystem functioning and stability, especially in the dry region. Due to its geographic location, the north-western region of Bangladesh has a comparatively arid climate which is very much susceptible to drought occurrence and is marked as a red zone. Despite the growing evidence of the impact of drought on food security and ecosystem functioning, little effort has been paid to mitigate the drought in this region. The present study aimed to assess the drought condition of the north-western region of Bangladesh using earth observation techniques. For this purpose, Landsat data from 1990 to 2020 was used to determine various vegetation indices such as Normalized Difference Vegetation Index (NDVI), Water Index (NDWI), Moisture Index (NDMI) and Soil Adjusted Vegetation Index (SAVI), along with Land Surface Temperature (LST). Results show that the depletion of forests (2832 km(2)) and water bodies (6773 km(2)) resulted from the expansion of settlement (6563 km(2)) and agricultural land (1802 km(2)) for the period 1990–2020. Examination of the temporal changes of vegetation indices and LST showed that the values of all indices decreased while the LST increased. The negative correlation between NDVI value and LST indicates that the vegetation in our study was subject to drought-induced shocks. This study reveals the current situation of the vegetation health in the north-western region of Bangladesh in relation to the drought conditions. The findings of this study have practical implications for the policymakers in implementing necessary measures for agriculture, forests, water development, and economic zone planning. |
format | Online Article Text |
id | pubmed-9900510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-99005102023-02-07 Assessment of remote sensing-based indices for drought monitoring in the north-western region of Bangladesh Das, Ashim C. Shahriar, Shihab A. Chowdhury, Md A. Hossain, Md Lokman Mahmud, Shahed Tusar, Md Kamruzzaman Ahmed, Romel Salam, Mohammed Abdus Heliyon Research Article Drought is a widespread hazard that can tremendously affect the biodiversity, habitat of wild species, and ecosystem functioning and stability, especially in the dry region. Due to its geographic location, the north-western region of Bangladesh has a comparatively arid climate which is very much susceptible to drought occurrence and is marked as a red zone. Despite the growing evidence of the impact of drought on food security and ecosystem functioning, little effort has been paid to mitigate the drought in this region. The present study aimed to assess the drought condition of the north-western region of Bangladesh using earth observation techniques. For this purpose, Landsat data from 1990 to 2020 was used to determine various vegetation indices such as Normalized Difference Vegetation Index (NDVI), Water Index (NDWI), Moisture Index (NDMI) and Soil Adjusted Vegetation Index (SAVI), along with Land Surface Temperature (LST). Results show that the depletion of forests (2832 km(2)) and water bodies (6773 km(2)) resulted from the expansion of settlement (6563 km(2)) and agricultural land (1802 km(2)) for the period 1990–2020. Examination of the temporal changes of vegetation indices and LST showed that the values of all indices decreased while the LST increased. The negative correlation between NDVI value and LST indicates that the vegetation in our study was subject to drought-induced shocks. This study reveals the current situation of the vegetation health in the north-western region of Bangladesh in relation to the drought conditions. The findings of this study have practical implications for the policymakers in implementing necessary measures for agriculture, forests, water development, and economic zone planning. Elsevier 2023-01-21 /pmc/articles/PMC9900510/ /pubmed/36755601 http://dx.doi.org/10.1016/j.heliyon.2023.e13016 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Das, Ashim C. Shahriar, Shihab A. Chowdhury, Md A. Hossain, Md Lokman Mahmud, Shahed Tusar, Md Kamruzzaman Ahmed, Romel Salam, Mohammed Abdus Assessment of remote sensing-based indices for drought monitoring in the north-western region of Bangladesh |
title | Assessment of remote sensing-based indices for drought monitoring in the north-western region of Bangladesh |
title_full | Assessment of remote sensing-based indices for drought monitoring in the north-western region of Bangladesh |
title_fullStr | Assessment of remote sensing-based indices for drought monitoring in the north-western region of Bangladesh |
title_full_unstemmed | Assessment of remote sensing-based indices for drought monitoring in the north-western region of Bangladesh |
title_short | Assessment of remote sensing-based indices for drought monitoring in the north-western region of Bangladesh |
title_sort | assessment of remote sensing-based indices for drought monitoring in the north-western region of bangladesh |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900510/ https://www.ncbi.nlm.nih.gov/pubmed/36755601 http://dx.doi.org/10.1016/j.heliyon.2023.e13016 |
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