Evaluation of predicted loss of different land use and land cover (LULC) due to coastal erosion in Bangladesh

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dc.contributor.authorIslam, Md Sarifulen
dc.contributor.authorCrawford, Thomas W.en
dc.contributor.authorShao, Yangen
dc.coverage.countryBangladeshen
dc.date.accessioned2023-08-16T19:05:14Zen
dc.date.available2023-08-16T19:05:14Zen
dc.date.issued2023-04en
dc.description.abstractCoastal erosion is one of the most significant environmental threats to coastal communities globally. In Bangladesh, coastal erosion is a regularly occurring and major destructive process, impacting both human and ecological systems at sea level. The Lower Meghna estuary, located in southern Bangladesh, is among the most vulnerable landscapes in the world to the impacts of coastal erosion. Erosion causes population displacement, loss of productive land area, loss of infrastructure and communication systems, and, most importantly, household livelihoods. With an aim to assess the impacts of historical and predicted shoreline change on different land use and land cover, this study estimated historical shoreline movement, predicted shoreline positions based on historical data, and quantified and assessed past land use and land cover change. Multi-temporal Landsat images from 1988-2021 were used to quantify historical shoreline movement and past land use and land cover. A time-series classification of historical land use and land cover (LULC) were produced to both quantify LULC change and to evaluate the utility of the future shoreline predictions for calculating amounts of lost or newly added land resources by LULC type. Our results suggest that the agricultural land is the most dominant land cover/use (76.04% of the total land loss) lost over the studied period. Our results concluded that the best performed model for predicting land loss was the 10-year time depth and 20-year time horizon model. The 10-year time depth and 20-year time horizon model was also most accurate for agricultural, forested, and inland waterbody land use/covers loss prediction. We strongly believe that our results will build a foundation for future research studying the dynamics of coastal and deltaic environments.en
dc.description.notesThis research was funded by the U.S. National Science Foundation, grant number 1660447. The article processing costs were partially supported by Virginia Tech's Open Access Subvention Fund (OASF).en
dc.description.sponsorshipU.S. National Science Foundation [1660447]; Virginia Tech's Open Access Subvention Fund (OASF)en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.3389/fenvs.2023.1144686en
dc.identifier.eissn2296-665Xen
dc.identifier.other1144686en
dc.identifier.urihttp://hdl.handle.net/10919/116052en
dc.identifier.volume11en
dc.language.isoenen
dc.publisherFrontiersen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectcoastal erosionen
dc.subjectland lossen
dc.subjectland use and land coveren
dc.subjectLower Meghna riveren
dc.subjectBangladeshen
dc.titleEvaluation of predicted loss of different land use and land cover (LULC) due to coastal erosion in Bangladeshen
dc.title.serialFrontiers in Environmental Scienceen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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