@Article{KuhnVWLSKRSCSVPB:2019:PeLaSe,
author = "Kuhn, Catherine and Val{\'e}rio, Aline de Matos and Ward, Nick
and Loken, Luke and Sawakuchi, Henrique Oliveira and Kampel,
Milton and Richey, Jeffrey and Stadler, Philipp and Crawford, John
and Striegl, Rob and Vermote, Eric and Pahlevan, Nima and Butman,
David",
affiliation = "{University of Washington} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Pacific Northwest National Laboratory} and
{U.S. Geological Survey} and {Universidade de S{\~a}o Paulo
(USP)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{University of Washington} and TU Wien, Centre for Water Resource
Systems and {U.S. Geological Survey} and {U.S. Geological Survey}
and {NASA Goddard Space Flight Cente} and {NASA Goddard Space
Flight Cente} and {University of Washington}",
title = "Performance of Landsat-8 and Sentinel-2 surface reflectance
products for river remote sensing retrievals of chlorophyll-a and
turbidity",
journal = "Remote Sensing of Environment",
year = "2019",
volume = "224",
pages = "104--118",
month = "Apr.",
keywords = "Atmospheric correction, Ocean color, Landsat-8, Sentinel-2,
Mississippi River, Amazon River, Columbia River, Turbid waters,
Inland waters, Remote Sensing.",
abstract = "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 531% 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.",
doi = "10.1016/j.rse.2019.01.023",
url = "http://dx.doi.org/10.1016/j.rse.2019.01.023",
issn = "0034-4257",
language = "en",
targetfile = "kuhn_perfomance.pdf",
urlaccessdate = "28 abr. 2024"
}