Phyu Phway Thant , Zhijun Dai , Xuefei Mei , Binh An Nguyen , Cong Mai Van , Mee Mee Soe
{"title":"基于机器学习的东南亚仰光河口红树林测绘变化检测","authors":"Phyu Phway Thant , Zhijun Dai , Xuefei Mei , Binh An Nguyen , Cong Mai Van , Mee Mee Soe","doi":"10.1016/j.marenvres.2025.107343","DOIUrl":null,"url":null,"abstract":"<div><div>Mangrove forests are globally acknowledged for stabilizing coastlines, reducing wave energy, and protecting coastal habitats and adjacent land uses from extreme events. However, most regions experience alarming mangrove loss against natural and human disturbances. This study profiles dynamic changes in mangrove cover and shoreline migration along the Yangon estuary using Landsat imagery and machine learning approach from 1988 to 2023. Mangrove cover declined from 1175 ha in 1988 to 531 ha by 2011. It then increased to 5470 ha by 2023, resulting in a net gain of over 4000 ha. Concurrently, shoreline analysis using the mangrove vegetation line, indicates 92 % seaward progradation along the coastline. The western shoreline recorded mean accretion and erosion rates of +35.6 m/yr and −1.7 m/yr, while the eastern side showed more dynamic rates of +79.6 m/yr for accretion and −29.1 m/yr for erosion. Key findings highlight mangroves’ ability to keep pace with the relative SLR, aquaculture as the dominant driver of post-2008 mangrove loss, and underscore the roles of sedimentary variation and high sediment availability, extensive tidal flat existence, and coastal sheltering in supporting recent mangrove expansion. While further studies are needed, these insights offer a valuable foundation for future conservation and management efforts.</div></div>","PeriodicalId":18204,"journal":{"name":"Marine environmental research","volume":"210 ","pages":"Article 107343"},"PeriodicalIF":3.2000,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine learning-based detection of changes in mapping the mangrove forest of the Yangon estuary, Southeast Asia\",\"authors\":\"Phyu Phway Thant , Zhijun Dai , Xuefei Mei , Binh An Nguyen , Cong Mai Van , Mee Mee Soe\",\"doi\":\"10.1016/j.marenvres.2025.107343\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Mangrove forests are globally acknowledged for stabilizing coastlines, reducing wave energy, and protecting coastal habitats and adjacent land uses from extreme events. However, most regions experience alarming mangrove loss against natural and human disturbances. This study profiles dynamic changes in mangrove cover and shoreline migration along the Yangon estuary using Landsat imagery and machine learning approach from 1988 to 2023. Mangrove cover declined from 1175 ha in 1988 to 531 ha by 2011. It then increased to 5470 ha by 2023, resulting in a net gain of over 4000 ha. Concurrently, shoreline analysis using the mangrove vegetation line, indicates 92 % seaward progradation along the coastline. The western shoreline recorded mean accretion and erosion rates of +35.6 m/yr and −1.7 m/yr, while the eastern side showed more dynamic rates of +79.6 m/yr for accretion and −29.1 m/yr for erosion. Key findings highlight mangroves’ ability to keep pace with the relative SLR, aquaculture as the dominant driver of post-2008 mangrove loss, and underscore the roles of sedimentary variation and high sediment availability, extensive tidal flat existence, and coastal sheltering in supporting recent mangrove expansion. While further studies are needed, these insights offer a valuable foundation for future conservation and management efforts.</div></div>\",\"PeriodicalId\":18204,\"journal\":{\"name\":\"Marine environmental research\",\"volume\":\"210 \",\"pages\":\"Article 107343\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Marine environmental research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0141113625004003\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marine environmental research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0141113625004003","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Machine learning-based detection of changes in mapping the mangrove forest of the Yangon estuary, Southeast Asia
Mangrove forests are globally acknowledged for stabilizing coastlines, reducing wave energy, and protecting coastal habitats and adjacent land uses from extreme events. However, most regions experience alarming mangrove loss against natural and human disturbances. This study profiles dynamic changes in mangrove cover and shoreline migration along the Yangon estuary using Landsat imagery and machine learning approach from 1988 to 2023. Mangrove cover declined from 1175 ha in 1988 to 531 ha by 2011. It then increased to 5470 ha by 2023, resulting in a net gain of over 4000 ha. Concurrently, shoreline analysis using the mangrove vegetation line, indicates 92 % seaward progradation along the coastline. The western shoreline recorded mean accretion and erosion rates of +35.6 m/yr and −1.7 m/yr, while the eastern side showed more dynamic rates of +79.6 m/yr for accretion and −29.1 m/yr for erosion. Key findings highlight mangroves’ ability to keep pace with the relative SLR, aquaculture as the dominant driver of post-2008 mangrove loss, and underscore the roles of sedimentary variation and high sediment availability, extensive tidal flat existence, and coastal sheltering in supporting recent mangrove expansion. While further studies are needed, these insights offer a valuable foundation for future conservation and management efforts.
期刊介绍:
Marine Environmental Research publishes original research papers on chemical, physical, and biological interactions in the oceans and coastal waters. The journal serves as a forum for new information on biology, chemistry, and toxicology and syntheses that advance understanding of marine environmental processes.
Submission of multidisciplinary studies is encouraged. Studies that utilize experimental approaches to clarify the roles of anthropogenic and natural causes of changes in marine ecosystems are especially welcome, as are those studies that represent new developments of a theoretical or conceptual aspect of marine science. All papers published in this journal are reviewed by qualified peers prior to acceptance and publication. Examples of topics considered to be appropriate for the journal include, but are not limited to, the following:
– The extent, persistence, and consequences of change and the recovery from such change in natural marine systems
– The biochemical, physiological, and ecological consequences of contaminants to marine organisms and ecosystems
– The biogeochemistry of naturally occurring and anthropogenic substances
– Models that describe and predict the above processes
– Monitoring studies, to the extent that their results provide new information on functional processes
– Methodological papers describing improved quantitative techniques for the marine sciences.