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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3SPMSFL
Repositóriosid.inpe.br/mtc-m21c/2019/02.19.13.06   (acesso restrito)
Última Atualização2019:02.19.13.06.54 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/02.19.13.06.54
Última Atualização dos Metadados2020:01.06.11.42.10 (UTC) administrator
DOI10.1016/j.rse.2019.01.023
ISSN0034-4257
Chave de CitaçãoKuhnVWLSKRSCSVPB:2019:PeLaSe
TítuloPerformance of Landsat-8 and Sentinel-2 surface reflectance products for river remote sensing retrievals of chlorophyll-a and turbidity
Ano2019
MêsApr.
Data de Acesso04 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho2401 KiB
2. Contextualização
Autor 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
Identificador de Curriculo 1
 2
 3
 4
 5
 6 8JMKD3MGP5W/3C9JHTG
Grupo 1
 2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
 3
 4
 5
 6 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Afiliação 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
Endereço de e-Mail do Autor 1 ckuhn@uw.edu
 2 aline.valerio@inpe.br
 3
 4
 5
 6 milton.kampel@inpe.br
RevistaRemote Sensing of Environment
Volume224
Páginas104-118
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE
Histórico (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. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveAtmospheric correction
Ocean color
Landsat-8
Sentinel-2
Mississippi River
Amazon River
Columbia River
Turbid waters
Inland waters
Remote Sensing
ResumoRivers 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.
ÁreaSRE
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Performance of Landsat-8...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvokuhn_perfomance.pdf
Grupo de Usuáriossimone
Visibilidadeshown
Política de Arquivamentodenypublisher allowfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal 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. Controle da descrição
e-Mail (login)simone
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