气候变化领域集成服务门户(CCPortal): Performance of OLCI Sentinel-3A satellite in the Northeast Pacific coastal waters

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DOI	10.1016/j.rse.2021.112317
	Performance of OLCI Sentinel-3A satellite in the Northeast Pacific coastal waters
	Giannini F.; Hunt B.P.V.; Jacoby D.; Costa M.
发表日期	2021
ISSN	00344257
卷号	256
英文摘要	Coastal oceans play a pivotal role in fisheries production and global biogeochemical cycles, making large-scale monitoring an essential task. The advent of modern remote sensors, such as OLCI (Ocean Land Colour Instrument), on board the Sentinel-3A satellite, has made it possible to obtain oceanic biogeochemical products at higher spatial (300 m) and temporal (daily) resolutions than previously possible. However, validating the Sentinel-3A retrievals for coastal waters is an ongoing effort. Using a regional in situ dataset from British Columbia (BC) and Southeast Alaska (SEA) coastal waters, we evaluated the performance of OLCI Sentinel-3A in retrieving remote-sensing reflectance (Rrs) and biophysical products, including total suspended matter (TSM), chlorophyll-a concentration (Chl-a) and coloured dissolved organic matter (CDOM). The OLCI data were processed through a spectral optimization-based algorithm (POLYMER) and a neural net-based (NN) algorithm (C2RCC), including the original (C2RCC v1) and the alternative version (altNN or v2), in which the neural network was trained with extended ranges to cope with larger dynamic range for high backscatter waters. The processors' performance was evaluated through match-up analysis using data from southern BC, as well as expected ranges and seasonal trends for northern BC and SEA. Multimetric statistical analyses demonstrated that POLYMER provided the best overall performance for TSM and Chl-a retrievals, with the Chl-a product improved by the use of the so-called “Case-2” flag. Despite the relative outperformance of POLYMER-derived products, with low systematic biases, the relative percent differences are still high (80–100%) and should be acknowledged in future analyses when using these data. CDOM, only retrieved here from NN approaches, was better estimated using the alternative version of C2RCC. The best performing approaches were used to evaluate Level-3 composites for northern BC and SEA waters. The observed spatial and seasonal trends compared favourably with those reported in the literature, including highlighting more productive areas (e.g. west coast of Vancouver Island), and the important interactions between riverine systems and adjacent coastal waters (e.g., high TSM and CDOM loads near the Skeena and Nass rivers). This study demonstrated the benefits of OLCI Sentinel-3A to investigate complex coastal ecosystems and provides a robust evaluation of OLCI performance and a framework for future observational and process-oriented studies. © 2021 Elsevier Inc.
英文关键词	Northeast Pacific coast; Ocean colour; OLCI Sentinel-3A; Remote sensing of coastal waters
语种	英语
scopus关键词	Biogeochemistry; Ecosystems; Polymers; Remote sensing; Seawater; Biogeochemical cycle; Biophysical products; Chlorophyll-a concentration; Coloured dissolved organic matters; Large-scale monitoring; Remote-sensing reflectance; Spectral optimization; Total suspended matter; Neural networks; algorithm; backscatter; biogeochemical cycle; coastal water; coastal wetland; coastal zone; detection method; remote sensing; satellite data; satellite imagery; satellite sensor; seasonal variation; Sentinel; suspended sediment; British Columbia; Canada; Pacific Ocean; Pacific Ocean (Northeast); Vancouver Island; Columbia
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/178934
作者单位	Department of Geography, University of Victoria, PO Box 1700 STN CSC, Victoria, BC V8W2Y2, Canada; Institute for the Oceans and Fisheries, University of British Columbia, AERL, 2202 Main Mall, Vancouver, BC V6T1Z4, Canada; Hakai Institute, PO Box 309, Heriot Bay, BC V0P1H0, Canada; Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, 2020 –2207 Main Mall, Vancouver, BC V6T1Z4, Canada; Department of Computer Science, University of Victoria, PO Box 1700 STN CSC, Victoria, BC V8W2Y2, Canada
推荐引用方式 GB/T 7714	Giannini F.,Hunt B.P.V.,Jacoby D.,et al. Performance of OLCI Sentinel-3A satellite in the Northeast Pacific coastal waters[J],2021,256.
APA	Giannini F.,Hunt B.P.V.,Jacoby D.,&Costa M..(2021).Performance of OLCI Sentinel-3A satellite in the Northeast Pacific coastal waters.Remote Sensing of Environment,256.
MLA	Giannini F.,et al."Performance of OLCI Sentinel-3A satellite in the Northeast Pacific coastal waters".Remote Sensing of Environment 256(2021).