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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/44EDFFH
Repositóriosid.inpe.br/mtc-m21c/2021/04.02.15.34   (acesso restrito)
Última Atualização2021:04.02.15.55.35 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2021/04.02.15.34.50
Última Atualização dos Metadados2022:04.03.22.28.30 (UTC) administrator
DOI10.1016/j.rse.2021.112366
ISSN0034-4257
Chave de CitaçãoPahlevanMBSAABBBBGGFHHIKLLMMOOPPRCSSSSSTTVW:2021:GlAsAt
TítuloACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters
Ano2021
MêsJune
Data de Acesso20 abr. 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho26078 KiB
2. Contextualização
Autor 1 Pahlevan, Nima
 2 Mangin, Antoine
 3 Balasubramanian, Sundarabalan V.
 4 Smith, Brandon
 5 Alikas, Krista
 6 Arai, Kohei
 7 Barbosa, Cláudio Clemente Faria
 8 Bélanger, Simon
 9 Binding, Caren
10 Bresciani, Mariano
11 Giardino, Cláudia
12 Gurlin, Daniela
13 Fan, Yongzhen
14 Harmel, Tristan
15 Hunter, Peter
16 Ishikaza, Joji
17 Kratzer, Susanne
18 Lehmann, Moritz K.
19 Ligi, Martin
20 Ma, Ronghua
21 Martin-Lauzer, François-Régis
22 Olmanson, Leif
23 Oppelt, Natascha
24 Pan, Yangun
25 Peters, Steef
26 Reynauld, Nathalie
27 Carvalho, Lino Augusto Sander de
28 Simis, Stefan
29 Spyrakos, Evangelos
30 Steinmetz, François
31 Stelzer, Kersint
32 Sterckx, Sindy
33 Tormos, Thierry
34 Tyler, Andrew
35 Vanhellemont, Quinten
36 Warrren, Mark
Identificador de Curriculo 1
 2
 3
 4
 5
 6
 7 8JMKD3MGP5W/3C9JGSB
Grupo 1
 2
 3
 4
 5
 6
 7 DIOTG-CGCT-INPE-MCTI-GOV-BR
Afiliação 1 NASA Goddard Space Flight Center
 2 ACRI-ST
 3 Geosensing and Imaging Solution Consultancy
 4 NASA Goddard Space Flight Center
 5 University of Tartu
 6 Saga University
 7 Instituto Nacional de Pesquisas Espaciais (INPE)
 8 Université du Québec
 9 Environment and Climate Change Canada
10 National Research Council of Italy
11 National Research Council of Italy
12 Wisconsin Department of Natural Resources
13 Stevens Institute of Technology
14 Géosciences Environment Toulouse (GET)
15 University of Stirling
16 Nagoya University
17 Stockholm University
18 University of Waikato
19 University of Tartu
20 Chinese Academy of Science
21 ACRI-ST
22 University of Minnesota
23 Kiel University
24 Université du Québec
25 Water Insight
26 UR RECOVER
27 Universidade Federal do Rio de Janeiro (UFRJ)
28 Plymouth Marine Laboratory
29 University of Stirling
30 Euratechnologies
31 Brockmann Consult GmbH
32 Flemish Institute for Technological Research (VITO)
33 Unité ECosystèmes LAcustres
34 University of Stirling
35 Royal Belgian Institute of Natural Sciences (RBINS)
36 Plymouth Marine Laboratory
Endereço de e-Mail do Autor 1 nima.pahlevan@nasa.gov
 2
 3
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 5
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 7 claudio.barbosa@inpe.br
RevistaRemote Sensing of Environment
Volume258
Páginase112366
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE
Histórico (UTC)2021-04-02 15:34:50 :: simone -> administrator ::
2021-04-02 15:34:52 :: administrator -> simone :: 2021
2021-04-02 15:55:35 :: simone -> administrator :: 2021
2021-06-22 19:11:16 :: administrator -> simone :: 2021
2021-06-22 20:02:43 :: simone -> administrator :: 2021
2022-04-03 22:28:30 :: administrator -> simone :: 2021
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoAtmospheric correction over inland and coastal waters is one of the major remaining challenges in aquatic remote sensing, often hindering the quantitative retrieval of biogeochemical variables and analysis of their spatial and temporal variability within aquatic environments. The Atmospheric Correction Intercomparison Exercise (ACIX-Aqua), a joint NASA ESA activity, was initiated to enable a thorough evaluation of eight state-of-the-art atmospheric correction (AC) processors available for Landsat-8 and Sentinel-2 data processing. Over 1000 radiometric matchups from both freshwaters (rivers, lakes, reservoirs) and coastal waters were utilized to examine the quality of derived aquatic reflectances (ρ̂w). This dataset originated from two sources: Data gathered from the international scientific community (henceforth called Community Validation Database, CVD), which captured predominantly inland water observations, and the Ocean Color component of AERONET measurements (AERONET-OC), representing primarily coastal ocean environments. This volume of data permitted the evaluation of the AC processors individually (using all the matchups) and comparatively (across seven different Optical Water Types, OWTs) using common matchups. We found that the performance of the AC processors differed for CVD and AERONET-OC matchups, likely reflecting inherent variability in aquatic and atmospheric properties between the two datasets. For the former, the median errors in ρ̂w560 and ρ̂w664 were found to range from 20 to 30% for best-performing processors. Using the AERONET-OC matchups, our performance assessments showed that median errors within the 1530% range in these spectral bands may be achieved. The largest uncertainties were associated with the blue bands (25 to 60%) for best-performing processors considering both CVD and AERONET-OC assessments. We further assessed uncertainty propagation to the downstream products such as near-surface concentration of chlorophyll-a (Chla) and Total Suspended Solids (TSS). Using satellite matchups from the CVD along with in situ Chla and TSS, we found that 2030% uncertainties in ρ̂w490≤λ≤743nm yielded 2570% uncertainties in derived Chla and TSS products for top-performing AC processors. We summarize our results using performance matrices guiding the satellite user community through the OWT-specific relative performance of AC processors. Our analysis stresses the need for better representation of aerosols, particularly absorbing ones, and improvements in corrections for sky- (or sun-) glint and adjacency effects, in order to achieve higher quality downstream products in freshwater and coastal ecosystems.
ÁreaSRE
Arranjo 1urlib.net > LabISA > ACIX-Aqua: A global...
Arranjo 2urlib.net > CGCT > ACIX-Aqua: A global...
Conteúdo da Pasta docacessar
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvopahlevan_acix.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
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/439EAFB
8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.43.57 3
sid.inpe.br/bibdigital/2020/09.18.00.06 1
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 keywords label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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