Performance of Landsat-8 and Sentinel-2 Surface Reflectance Products for River Remote Sensing Retrievals of Chlorophyll-A and Turbidity - NASA Technical Reports Server (NTRS)
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Performance of Landsat-8 and Sentinel-2 Surface Reflectance Products for River Remote Sensing Retrievals of Chlorophyll-A and TurbidityRivers and other freshwater systems play a crucial role in ecosystems, industry, transportation and agriculture. Despite the more than 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 shipborne, underway in situ validation measurements. The land surface product shows the best agreement (4 percent Mean Absolute Percent Difference) with field measurements of radiometry collected on the Amazon River and generates 36 percent higher reflectance values in the visible bands compared to aquatic methods (ACOLITE (Atmospheric Correction for OLI (Operational Land Imager) 'lite') and SeaDAS (Sea-viewing Wide Field-of-View Sensor (SeaWiFS) Data Analysis System)) with larger differences between land and aquatic products observed in Sentinel-2 (0.01 per steraradian) compared to Landsat-8 (0.001 per steraradian). Choice of atmospheric correction routine can bias Landsat-8 retrievals of chlorophyll-a and turbidity by as much as 59 percent and 35 percent respectively. Using a more restrictive time window for matching in situ and satellite imagery can reduce differences by 5–31 percent 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.
Document ID
20190002414
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
doi:10.1016/j.rse.2019.01.023
Authors
Kuhn, Catherine (Washington Univ. Seattle, WA, United States)
Valerio, Aline de Matos (Instituto de Pesquisas Espaciais Sao Paulo, Brazil)
Ward, Nick (Pacific Northwest National Lab. Sequim, WA, United States)
Loken, Luke (Geological Survey Middleton, WI, United States)
Sawakuchi, Henrique Oliveira (Centro de Energia Nuclear na Agricultura Piracicaba, Brazil)
Kampel, Milton (Instituto de Pesquisas Espaciais Sao Paulo, Brazil)
Richey, Jeffrey (Washington Univ. Seattle, WA, United States)
Stadler, Philipp (Technische Univ. Vienna, Austria)
Crawford, John (Geological Survey Boulder, CO, United States)
Striegl, Rob (Geological Survey Boulder, CO, United States)
Vermote, Eric (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Pahlevan, Nima (Science Systems and Applications, Inc. Lanham, MD, United States)
Butman, David (Washington Univ. Seattle, WA, United States)
Date Acquired
April 11, 2019
Publication Date
February 11, 2019
Publication Information
Publication: Remote Sensing of Environment
Publisher: Elsevier
Volume: 224
ISSN: 0034-4257
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN66756
Report Number: GSFC-E-DAA-TN66756
ISSN: 0034-4257
Funding Number(s)
CONTRACT_GRANT: NNG15HQ01C
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Keywords
Landsat-8
Ocean Color
Atmospheric Correction
Sentinel-2

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