气候变化领域集成服务门户(CCPortal): Sentinel-2 remote sensing of Zostera noltei-dominated intertidal seagrass meadows

CCPortal

DOI	10.1016/j.rse.2020.112020
	Sentinel-2 remote sensing of Zostera noltei-dominated intertidal seagrass meadows
	Zoffoli M.L.; Gernez P.; Rosa P.; Le Bris A.; Brando V.E.; Barillé A.-L.; Harin N.; Peters S.; Poser K.; Spaias L.; Peralta G.; Barillé L.
发表日期	2020
ISSN	00344257
卷号	251
英文摘要	Accurate habitat mapping methods are urgently required for the monitoring, conservation, and management of blue carbon ecosystems and their associated services. This study focuses on exposed intertidal seagrass meadows, which play a major role in the functioning of nearshore ecosystems. Using Sentinel-2 (S2) data, we demonstrate that satellite remote sensing can be used to map seagrass percent cover (SPC) and leaf biomass (SB), and to characterize its seasonal dynamics. In situ radiometric and biological data were acquired from three intertidal meadows of Zostera noltei along the European Atlantic coast in the summers of 2018 and 2019. This information allowed algorithms to estimate SPC and SB from a vegetation index to be developed and assessed. Importantly, a single SPC algorithm could consistently be used to study Z. noltei-dominated meadows at several sites along the European Atlantic coast. To analyze the seagrass seasonal cycle and to select images corresponding to its maximal development, a two-year S2 dataset was acquired for a French study site in Bourgneuf Bay. The potential of S2 to characterize the Z. noltei seasonal cycle was demonstrated for exposed intertidal meadows. The SPC map that best represented seagrass growth annual maximum was validated using in situ measurements, resulting in a root mean square difference of 14%. The SPC and SB maps displayed a patchy distribution, influenced by emersion time, mudflat topology, and seagrass growth pattern. The ability of S2 to measure the surface area of different classes of seagrass cover was investigated, and surface metrics based on seagrass areas with SPC ≥ 50% and SPC ≥ 80% were computed to estimate the interannual variation in the areal extent of the meadow. Due to the high spatial resolution (pixel size of 10 m), frequent revisit time (≤ 5 days), and long-term objective of the S2 mission, S2-derived seagrass time-series are expected to contribute to current coastal ecosystem management, such as the European Water Framework Directive, but to also guide future adaptation plans to face global change in coastal areas. Finally, recommendations for future intertidal seagrass studies are proposed. © 2020 The Authors
英文关键词	Earth observation; Mudflats; Seasonal cycle; Water framework directive; Zostera noltei
语种	英语
scopus关键词	Ecosystems; Environmental regulations; Remote sensing; Water conservation; Coastal ecosystems; European Water Framework Directive; High spatial resolution; In-situ measurement; Interannual variation; Root mean square differences; Satellite remote sensing; Seasonal dynamics; Plants (botany); annual variation; growth; intertidal environment; NDVI; nearshore environment; remote sensing; satellite data; satellite mission; seagrass meadow; seasonal variation; Sentinel; Atlantic Coast [Europe]; Bay of Bourgneuf; Zostera
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/179109
作者单位	Université de Nantes, Laboratoire Mer Molécules Santé, Faculté des Sciences, 2 rue de la Houssinière, Nantes, 44322, France; Currently at Ecology and Environment department (EENVI), Algae Technology and Innovation Centre (CEVA), Pleubian, 22610, France; Institute of Marine Sciences, National Research Council of Italy (CNR-ISMAR), Rome, 00133, Italy; Bio-littoral, Faculté des Sciences et des Techniques, B.P. 92208, Nantes, 44322, France; Water Insight, Wageningen, 6709 PG 22, Netherlands; Department of Biology, Faculty of Environmental and Marine Sciences, University of Cadiz, Cadiz, Puerto Real 11510, Spain
推荐引用方式 GB/T 7714	Zoffoli M.L.,Gernez P.,Rosa P.,et al. Sentinel-2 remote sensing of Zostera noltei-dominated intertidal seagrass meadows[J],2020,251.
APA	Zoffoli M.L..,Gernez P..,Rosa P..,Le Bris A..,Brando V.E..,...&Barillé L..(2020).Sentinel-2 remote sensing of Zostera noltei-dominated intertidal seagrass meadows.Remote Sensing of Environment,251.
MLA	Zoffoli M.L.,et al."Sentinel-2 remote sensing of Zostera noltei-dominated intertidal seagrass meadows".Remote Sensing of Environment 251(2020).