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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3SPMSFL
Repositorysid.inpe.br/mtc-m21c/2019/02.19.13.06   (restricted access)
Last Update2019:02.19.13.06.54 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21c/2019/02.19.13.06.54
Metadata Last Update2020:01.06.11.42.10 (UTC) administrator
DOI10.1016/j.rse.2019.01.023
ISSN0034-4257
Citation KeyKuhnVWLSKRSCSVPB:2019:PeLaSe
TitlePerformance of Landsat-8 and Sentinel-2 surface reflectance products for river remote sensing retrievals of chlorophyll-a and turbidity
Year2019
MonthApr.
Access Date2024, May 05
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size2401 KiB
2. Context
Author 1 Kuhn, Catherine
 2 Valério, Aline de Matos
 3 Ward, Nick
 4 Loken, Luke
 5 Sawakuchi, Henrique Oliveira
 6 Kampel, Milton
 7 Richey, Jeffrey
 8 Stadler, Philipp
 9 Crawford, John
10 Striegl, Rob
11 Vermote, Eric
12 Pahlevan, Nima
13 Butman, David
Resume Identifier 1
 2
 3
 4
 5
 6 8JMKD3MGP5W/3C9JHTG
Group 1
 2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
 3
 4
 5
 6 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Affiliation 1 University of Washington
 2 Instituto Nacional de Pesquisas Espaciais (INPE)
 3 Pacific Northwest National Laboratory
 4 U.S. Geological Survey
 5 Universidade de São Paulo (USP)
 6 Instituto Nacional de Pesquisas Espaciais (INPE)
 7 University of Washington
 8 TU Wien, Centre for Water Resource Systems
 9 U.S. Geological Survey
10 U.S. Geological Survey
11 NASA Goddard Space Flight Cente
12 NASA Goddard Space Flight Cente
13 University of Washington
Author e-Mail Address 1 ckuhn@uw.edu
 2 aline.valerio@inpe.br
 3
 4
 5
 6 milton.kampel@inpe.br
JournalRemote Sensing of Environment
Volume224
Pages104-118
Secondary MarkA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE
History (UTC)2019-02-19 13:06:54 :: simone -> administrator ::
2019-02-19 13:06:54 :: administrator -> simone :: 2019
2019-02-19 13:11:27 :: simone -> administrator :: 2019
2020-01-06 11:42:10 :: administrator -> simone :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsAtmospheric correction
Ocean color
Landsat-8
Sentinel-2
Mississippi River
Amazon River
Columbia River
Turbid waters
Inland waters
Remote Sensing
AbstractRivers 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.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Performance of Landsat-8...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
Languageen
Target Filekuhn_perfomance.pdf
User Groupsimone
Visibilityshown
Archiving Policydenypublisher allowfinaldraft24
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Description control
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