气候变化领域集成服务门户(CCPortal): Climate change impacts assessment on Bangladesh Mangrove Forest using high-resolution datasets and Google Earth Engine

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DOI	10.1007/s11852-023-01020-3
	Climate change impacts assessment on Bangladesh Mangrove Forest using high-resolution datasets and Google Earth Engine
	Halder, Bijay; Pereira, Paulo
发表日期	2024
ISSN	1400-0350
EISSN	1874-7841
起始页码	28
结束页码	1
卷号	28 期号:1
英文摘要	Mangrove forests protect the coastal environment and reduce shoreline shift, deforestation, and flood inundation. Global sea-level rise (SLR) and Bay of Bengal (BoB) cyclonic effects in the Bay of Bengal (BOB) is gradually trigger environmental degradation, flood inundation, and mangrove deforestation. Bangladesh Sundarbans are also affected by SLR and flood inundation every year. Sundarban Biosphere Reserve (SBR) is vulnerable because of extreme climatic conditions and anthropogenic activities. Those environmental effects are measurable through remote sensing (RS) and GIS approaches. Three types of satellite data, like Landsat 8 OLI/TIRS, Sentinel-1 GRD and Sentinel-2 MSI datasets, were applied with the Google Earth Engine (GEE) cloud computing platform. Around 11.57 km2 of mangrove forest will be lost from 2017 to 2022. The cyclone effects are located twice, like Mora (2017) and Sitrang (2022), while affected landforms are 77.15 km2 (1.38%) and 218.75 km2 (3.93%), respectively. Vegetation monitoring indices are also good outcomes for forest land change assessment over the examined area. Forest degradation index (FDI) values were observed in 1950 (2017) and 2620 (2022), which mentioned that north, middle, and near-shore areas are affected lands. Some adaptation planning implemented by the local government includes future disaster management, early warning system, reduction of river bank erosion, restricted forest area, and mangrove plantation. Putney Island, Bangabandhu Island, and Dimer Island are the most deforested lands. These investigation outcomes are helpful for future disaster planning, coastal environment management, awareness, mangrove forest restoration, and novel approaches to protect the coastal environment with healthier improvement policies.
英文关键词	Climate change; Mangrove forest; Coastal environment; Forest health; Google Earth Engine
语种	英语
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
WOS类目	Biodiversity Conservation ; Environmental Sciences ; Marine & Freshwater Biology ; Water Resources
WOS记录号	WOS:001137701600001
来源期刊	JOURNAL OF COASTAL CONSERVATION
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/289627
作者单位	Universiti Kebangsaan Malaysia; Mykolas Romeris University
推荐引用方式 GB/T 7714	Halder, Bijay,Pereira, Paulo. Climate change impacts assessment on Bangladesh Mangrove Forest using high-resolution datasets and Google Earth Engine[J],2024,28(1).
APA	Halder, Bijay,&Pereira, Paulo.(2024).Climate change impacts assessment on Bangladesh Mangrove Forest using high-resolution datasets and Google Earth Engine.JOURNAL OF COASTAL CONSERVATION,28(1).
MLA	Halder, Bijay,et al."Climate change impacts assessment on Bangladesh Mangrove Forest using high-resolution datasets and Google Earth Engine".JOURNAL OF COASTAL CONSERVATION 28.1(2024).