ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters-猫眼课题宝

DOI：

10.1016/j.rse.2021.112366

发表时间：

2021-06

期刊：

Remote Sensing of Environment

影响因子：

13.5

通讯作者：

中科院分区：

工程技术1区

文献类型：

作者：

N. Pahlevan;A. Mangin;S. Balasubramanian;Brandon M. Smith;K. Alikas;K. Arai;C. Barbosa;S. Bélanger;C. Binding;M. Bresciani;C. Giardino;D. Gurlin;Yongzhen Fan;T. Harmel;P. Hunter;Joji Ishikaza;S. Kratzer;M. Lehmann;M. Ligi;R. Ma;F. Martin-Lauzer;L. Olmanson;N. Oppelt;Yanqun Pan;S. Peters;N. Reynaud;L. Carvalho;S. Simis;E. Spyrakos;F. Steinmetz;K. Stelzer;S. Sterckx;T. Tormos;A. Tyler;Q. Vanhellemont;M. Warren

内陆和沿海水域的大气校正是水生遥感仍然存在的主要挑战之一，它往往妨碍生物地球化学变量的定量检索和对其在水生环境中的时空变异性的分析。大气校正比较演习（ACIX-Aqua）是美国宇航局和欧洲航天局的一项联合活动，旨在对Landsat-8和Sentinel-2数据处理中可用的8个最先进的大气校正（AC）处理器进行全面评估。利用来自淡水（河流、湖泊、水库）和沿海水域的1000多个辐射测量配对来检查导出的水生反射率（ρ n w）的质量。该数据集有两个来源：从国际科学界收集的数据（以后称为社区验证数据库，CVD），主要捕获内陆水域观测，以及AERONET测量的海洋颜色成分（AERONET- oc），主要代表沿海海洋环境。这一数据量允许单独评估AC处理器（使用所有匹配）和比较（跨七种不同的光水类型，owt）使用常见匹配。我们发现，在CVD和AERONET-OC匹配中，AC处理器的性能有所不同，这可能反映了两个数据集之间水生和大气特性的内在差异。对于前者，我们发现对于性能最好的处理器，ρ´w 560和ρ´w 664的中位数误差在20%到30%之间。使用AERONET-OC配对，我们的性能评估表明，在这些光谱波段中值误差可以在15-30%范围内实现。考虑到CVD和AERONET-OC评估，对于性能最好的处理器，最大的不确定性与蓝带（25 - 60%）有关。我们进一步评估了不确定性对下游产品的传播，如叶绿素-a （Chla）和总悬浮固体（TSS）的近地表浓度。利用CVD与原位Chla和TSS的卫星匹配，我们发现ρ´w 490≤λ≤743 nm的20-30%的不确定度导致了高性能AC处理器衍生Chla和TSS产品的25-70%的不确定度。我们使用性能矩阵来总结我们的结果，通过AC处理器特定于owt的相对性能来指导卫星用户社区。我们的分析强调，为了在淡水和沿海生态系统中获得更高质量的下游产品，需要更好地表示气溶胶，特别是吸收气溶胶，并改进对天空（或太阳）闪烁和邻接效应的修正。

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 (ρ ̂ w). 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 ρ ̂ w 560 and ρ ̂ w 664 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 ρ ̂ w 490≤ λ≤ 743 nm 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.

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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