气候变化领域集成服务门户(CCPortal): Assessing salt marsh extent and condition changes with 35 years of Landsat imagery: Tagus Estuary case study

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DOI	10.1016/j.rse.2020.111939
	Assessing salt marsh extent and condition changes with 35 years of Landsat imagery: Tagus Estuary case study
	Lopes C.L.; Mendes R.; Caçador I.; Dias J.M.
发表日期	2020
ISSN	00344257
卷号	247
英文摘要	Reliable information on salt marsh extent and condition is crucial to promote effective management strategies towards their maintenance and recovery. Most of previous studies on salt marsh extent assessment used Landsat-derived Normalized Difference Vegetation Index (NDVI), being limited the current knowledge about the performance of other Vegetation Indices (VI). Based on Landsat imagery this study proposes a new methodology to map salt marsh extent in estuarine systems by combining Normalized Difference Water Index (NDWI) and VI, exploring their performance when using different VI. Moreover, it aims to assess the extent and condition changes between 1984 and 2018 in two salt marshes (Pancas and Corroios) located within Tagus Estuary. The VI best-performing salt marsh extent was determined and the methodology applied to assess salt marsh extent changes. Condition change was investigated by statistically analyzing spatially averaged VI over salt marsh extent change regions. Results demonstrated that NDWI and VI combined can be used to efficiently map the marsh extent and NDVI was the VI with the best performance. Corroios revealed mostly stable without noticeable changes in its extent and condition. Oppositely, Pancas registered a continuous seaward progression at a mean rate of 3 ha/year since 1984, while restricted upper regions dieback after 2004–2005, likely due to high soil salinity conditions. In general, NDVI performs better salt marsh extent, but others VI corrected to minimize soil effects perform better when tidal flats are entirely, or almost entirely, exposed, opening perspectives to the development of new methods combining the use of different VI to optimize salt marsh extent detection. © 2020 Elsevier Inc.
英文关键词	Marsh shoreline change; Salt marsh dynamics; Satellite imagery; Vegetation indices
语种	英语
scopus关键词	Estuaries; Vegetation; Change region; Effective management; Estuarine systems; Landsat imagery; Normalized difference vegetation index; Normalized difference water index; Soil salinity; Vegetation index; Wetlands; coastal zone management; dieback; environmental management; Landsat; NDVI; saltmarsh; satellite imagery; tidal flat; water quality; Lisboa [Portugal]; Portugal; Tagus Estuary
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179241
作者单位	CESAM - Centre for Environmental and Marine Studies, Physics Department, University of Aveiro, Campus de Santiago, Aveiro, 3810-193, Portugal; MARE - Marine and Environmental Sciences Centre, Faculty of Sciences, University of Lisbon, Campo Grande, Lisboa, 1749-016, Portugal; CIIMAR — Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Rua do Campo Alegre, 687, Porto, 4169-007, Portugal
推荐引用方式 GB/T 7714	Lopes C.L.,Mendes R.,Caçador I.,et al. Assessing salt marsh extent and condition changes with 35 years of Landsat imagery: Tagus Estuary case study[J],2020,247.
APA	Lopes C.L.,Mendes R.,Caçador I.,&Dias J.M..(2020).Assessing salt marsh extent and condition changes with 35 years of Landsat imagery: Tagus Estuary case study.Remote Sensing of Environment,247.
MLA	Lopes C.L.,et al."Assessing salt marsh extent and condition changes with 35 years of Landsat imagery: Tagus Estuary case study".Remote Sensing of Environment 247(2020).