%0 Journal Article
%@nexthigherunit 8JMKD3MGPCW/3ER446E
%3 kuhn_perfomance.pdf
%4 sid.inpe.br/mtc-m21c/2019/02.19.13.06
%8 Apr.
%9 journal article
%@issn 0034-4257
%A Kuhn, Catherine,
%A Valério, Aline de Matos,
%A Ward, Nick,
%A Loken, Luke,
%A Sawakuchi, Henrique Oliveira,
%A Kampel, Milton,
%A Richey, Jeffrey,
%A Stadler, Philipp,
%A Crawford, John,
%A Striegl, Rob,
%A Vermote, Eric,
%A Pahlevan, Nima,
%A Butman, David,
%@secondarytype PRE PI
%B Remote Sensing of Environment
%D 2019
%@archivingpolicy denypublisher allowfinaldraft24
%K Atmospheric correction, Ocean color, Landsat-8, Sentinel-2, Mississippi River, Amazon River, Columbia River, Turbid waters, Inland waters, Remote Sensing.
%P 104-118
%@secondarymark A1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE
%T Performance of Landsat-8 and Sentinel-2 surface reflectance products for river remote sensing retrievals of chlorophyll-a and turbidity
%V 224
%X 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.
%@area SRE
%@electronicmailaddress ckuhn@uw.edu
%@electronicmailaddress aline.valerio@inpe.br
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress milton.kampel@inpe.br
%@documentstage not transferred
%@group
%@group DIDSR-CGOBT-INPE-MCTIC-GOV-BR
%@group
%@group
%@group
%@group DIDSR-CGOBT-INPE-MCTIC-GOV-BR
%@dissemination WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
%@usergroup simone
%@resumeid
%@resumeid
%@resumeid
%@resumeid
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JHTG
%@affiliation University of Washington
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Pacific Northwest National Laboratory
%@affiliation U.S. Geological Survey
%@affiliation Universidade de São Paulo (USP)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation University of Washington
%@affiliation TU Wien, Centre for Water Resource Systems
%@affiliation U.S. Geological Survey
%@affiliation U.S. Geological Survey
%@affiliation NASA Goddard Space Flight Cente
%@affiliation NASA Goddard Space Flight Cente
%@affiliation University of Washington
%@versiontype publisher
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@doi 10.1016/j.rse.2019.01.023
%2 sid.inpe.br/mtc-m21c/2019/02.19.13.06.54