气候变化领域集成服务门户(CCPortal): ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters

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DOI	10.1016/j.rse.2021.112366
	ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters
	Pahlevan N.; Mangin A.; Balasubramanian S.V.; Smith B.; Alikas K.; Arai K.; Barbosa C.; Bélanger S.; Binding C.; Bresciani M.; Giardino C.; Gurlin D.; Fan Y.; Harmel T.; Hunter P.; Ishikaza J.; Kratzer S.; Lehmann M.K.; Ligi M.; Ma R.; Martin-Lauzer F.-R.; Olmanson L.; Oppelt N.; Pan Y.; Peters S.; Reynaud N.; Sander de Carvalho L.A.; Simis S.; Spyrakos E.; Steinmetz F.; Stelzer K.; Sterckx S.; Tormos T.; Tyler A.; Vanhellemont Q.; Warren M.
发表日期	2021
ISSN	00344257
卷号	258
英文摘要	Atmospheric correction over inland and coastal waters is one of the major remaining challenges in aquatic remote sensing, often hindering the quantitative retrieval of biogeochemical variables and analysis of their spatial and temporal variability within aquatic environments. The Atmospheric Correction Intercomparison Exercise (ACIX-Aqua), a joint NASA – ESA activity, was initiated to enable a thorough evaluation of eight state-of-the-art atmospheric correction (AC) processors available for Landsat-8 and Sentinel-2 data processing. Over 1000 radiometric matchups from both freshwaters (rivers, lakes, reservoirs) and coastal waters were utilized to examine the quality of derived aquatic reflectances (ρ̂w). This dataset originated from two sources: Data gathered from the international scientific community (henceforth called Community Validation Database, CVD), which captured predominantly inland water observations, and the Ocean Color component of AERONET measurements (AERONET-OC), representing primarily coastal ocean environments. This volume of data permitted the evaluation of the AC processors individually (using all the matchups) and comparatively (across seven different Optical Water Types, OWTs) using common matchups. We found that the performance of the AC processors differed for CVD and AERONET-OC matchups, likely reflecting inherent variability in aquatic and atmospheric properties between the two datasets. For the former, the median errors in ρ̂w560 and ρ̂w664 were found to range from 20 to 30% for best-performing processors. Using the AERONET-OC matchups, our performance assessments showed that median errors within the 15–30% range in these spectral bands may be achieved. The largest uncertainties were associated with the blue bands (25 to 60%) for best-performing processors considering both CVD and AERONET-OC assessments. We further assessed uncertainty propagation to the downstream products such as near-surface concentration of chlorophyll-a (Chla) and Total Suspended Solids (TSS). Using satellite matchups from the CVD along with in situ Chla and TSS, we found that 20–30% uncertainties in ρ̂w490≤λ≤743nm yielded 25–70% uncertainties in derived Chla and TSS products for top-performing AC processors. We summarize our results using performance matrices guiding the satellite user community through the OWT-specific relative performance of AC processors. Our analysis stresses the need for better representation of aerosols, particularly absorbing ones, and improvements in corrections for sky- (or sun-) glint and adjacency effects, in order to achieve higher quality downstream products in freshwater and coastal ecosystems. © 2021 The Author(s)
语种	英语
scopus关键词	Data handling; Errors; NASA; Reflection; Remote sensing; Reservoirs (water); Rivers; Uncertainty analysis; AERONET; Atmospheric corrections; Chlorophyll a; Coastal waters; Inland waters; LANDSAT; Optical water; Total suspended solids; Uncertainty; Water types; Lakes; AERONET; Aqua (satellite); atmospheric correction; chlorophyll a; coastal water; lake ecosystem; Landsat; ocean color; river channel; Sentinel
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/178888
作者单位	NASA Goddard Space Flight Center, Greenbelt, MD, United States; Science Systems and Applications, Inc. (SSAI), Lanham, MD, United States; ACRI-ST, Sophia Antipolis, France; Geosensing and Imaging Solution Consultancy, Trivandrum, Kerala, India; Tartu Observatory, University of Tartu, Tartumaa, Estonia; Department of Information Science, Saga University, Saga, Japan; Instrumentation Lab for Aquatic Systems (LabISA), National Institute for Space Research (INPE), São José dos Campos, Brazil; Université du Québec à Rimouski, Département de Biologie, Chimie et Géographie, Group BOREAS and Québec-Océan, Rimouski, QC, Canada; Environment and Climate Change Canada, Burlington, ON, Canada; National Research Council of Italy, Institute for Electromagnetic Sensing of the Environment, CNR-IREA, Italy; Wisconsin Department of Natural Resources, Madison, WI, United States; Department of Physics and Engineering Physics, Stevens Institute of Technology, Hoboken, NJ, United States; Géosciences Environment Toulouse (GET), ...
推荐引用方式 GB/T 7714	Pahlevan N.,Mangin A.,Balasubramanian S.V.,et al. ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters[J],2021,258.
APA	Pahlevan N..,Mangin A..,Balasubramanian S.V..,Smith B..,Alikas K..,...&Warren M..(2021).ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters.Remote Sensing of Environment,258.
MLA	Pahlevan N.,et al."ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters".Remote Sensing of Environment 258(2021).