Performance of Landsat-8 and Sentinel-2 surface reflectance products for river remote sensing retrievals of chlorophyll-a and turbidity
Performance of Landsat-8 and Sentinel-2 surface reflectance products for river remote sensing retrievals of chlorophyll-a and turbidity
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DOI：
10.1016/j.rse.2019.01.023
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发表时间：
2019-04-01
影响因子：
13.5
通讯作者：
Butman, David
中科院分区：
文献类型：
--
作者：
Kuhn, Catherine;Valerio, Aline de Matos;Butman, David
河流和其他淡水系统在生态系统、工业、运输和农业中起着至关重要的作用。尽管光学遥感使内陆水域观测已有40多年，但内陆水域的标准化反射率产品仍未问世。这项工作的目的是比较美国地质调查局（USGS）的标准地表反射率产品与亚马逊河、哥伦比亚河和密西西比河上的两种陆地卫星8号（Landsat - 8）和哨兵2号（Sentinel - 2）水生遥感反射率产品。然后评估来自所有三种方法的陆地卫星8号反射率产品在参考船载原位验证测量值反演叶绿素 - a和浊度方面的相对性能。地表产品与在亚马逊河收集的辐射测量现场数据显示出最佳一致性（平均绝对百分比差异为4%），并且与水生方法（ACOLITE和SeaDAS）相比，在可见光波段产生的反射率值高36%，在哨兵2号中观测到的地表和水生物产品之间的差异（0.01 sr⁻¹）比陆地卫星8号（0.001 sr⁻¹）更大。大气校正方法的选择可能会使陆地卫星8号对叶绿素 - a和浊度的反演分别偏差多达59%和35%。根据校正技术的不同，使用更严格的时间窗口来匹配原位和卫星图像可以使差异减少5 - 31%。这项工作凸显了卫星对河流反演的挑战，并强调了未来光学和生物地球化学研究的必要性，旨在提高我们对河流水体吸收和散射特性及其与遥感反射率关系的理解。
Rivers and other freshwater systems play a crucial role in ecosystems, industry, transportation and agriculture. Despite the > 40 years of inland water observations made possible by optical remote sensing, a standardized reflectance product for inland waters is yet forthcoming. The aim of this work is to compare the standard USGS land surface reflectance product to two Landsat-8 and Sentinel-2 aquatic remote sensing reflectance products over the Amazon, Columbia and Mississippi rivers. Landsat-8 reflectance products from all three routines are then evaluated for their comparative performance in retrieving chlorophyll-a and turbidity in reference to ship borne, underway in situ validation measurements. The land surface product shows the best agreement (4% Mean Absolute Percent Difference) with field measurements of radiometry collected on the Amazon River and generates 36% higher reflectance values in the visible bands compared to aquatic methods (ACOLITE and SeaDAS) with larger differences between land and aquatic products observed in Sentinel-2 (0.01 sr(-1)) compared to Landsat-8 (0.001 sr(-1)). Choice of atmospheric correction routine can bias Landsat-8 retrievals of chlorophyll-a and turbidity by as much as 59% and 35% respectively. Using a more restrictive time window for matching in situ and satellite imagery can reduce differences by 5-31% depending on correction technique. This work highlights the challenges of satellite retrievals over rivers and underscores the need for future optical and biogeochemical research aimed at improving our understanding of the absorbing and scattering properties of river water and their relationships to remote sensing reflectance.