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6 referências similares encontradas (inclusive a original) buscando em 22 dentre 22 Arquivos.
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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3SB3MUL
Repositóriosid.inpe.br/mtc-m21c/2018/12.03.14.18
Última Atualização2021:02.17.19.37.17 (UTC) simone
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Última Atualização dos Metadados2021:02.17.19.37.17 (UTC) simone
Chave SecundáriaINPE--PRE/
Chave de CitaçãoKuhnVWLSKRSCSVPB:2018:AsAtCo
TítuloAssessment of atmospheric correction methods for Landsat-8 and sentinel-2 over Large Rivers
Ano2018
Data de Acesso16 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho76 KiB
2. Contextualização
Autor 1 Kuhn, Catherine
 2 Valério, Aline de Matos
 3 Ward, Nicholas D.
 4 Loken, Luke C.
 5 Sawakuchi, Henrique Oliveira
 6 Kampel, Milton
 7 Richey, Jeffrey E.
 8 Stadler, Philipp
 9 Crawford, John
10 Striegl, Robert G.
11 Vermote, Eric
12 Pahlevan, Nima
13 Butman, David E.
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 Seattle Campus
 2 Instituto Nacional de Pesquisas Espaciais (INPE)
 3 Pacific Northwest National Laboratory
 4 University of California-Davis
 5 Universidade de São Paulo (USP)
 6 Instituto Nacional de Pesquisas Espaciais (INPE)
 7 University of Washington
 8 Vienna Technical University
 9 UW-Madison
10 USGS WRD
11 NASA Goddard Space Flight Center
12 GSFC
13 University of Washington
Endereço de e-Mail do Autor 1
 2 aline.valerio@inpe.br
 3
 4
 5
 6 milton.kampel@inpe.br
Nome do EventoAGU Fall Meeting
Localização do EventoWashington, D. C.
Data10-14 dec.
Histórico (UTC)2018-12-03 14:18:13 :: simone -> administrator ::
2019-01-14 17:06:39 :: administrator -> simone :: 2018
3. Conteúdo e estrutura
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Estágio do Conteúdoconcluido
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Tipo do ConteúdoExternal Contribution
ResumoThe process of atmospheric correction removes effects of the atmosphere from satellite images to provide accurate estimates of reflectance at the Earths surface. The resulting reflectance forms the basis for bio-optical models of water quality parameters such as chlorophyll-a and turbidity that are relevant to global biogeochemical cycles and water management. Atmospheric correction routines vary by sensor and application but remain widely untested over large river systems. Here we assess the consequence of atmospheric correction choice on derived water quality products over three large rivers: the Amazon, Columbia and Mississippi Rivers. We show the Landsat-8 Surface Reflectance Code (LaSRC) produces reflectance estimates similar to field measurements despite being a technique derived for terrestrial applications. We also found that specialized aquatic correction routines were in better agreement with each other than with the land-based LaSRC technique and that disagreements were more exaggerated for Sentinel-2 data compared to Landsat-8. The resulting maps of key water quality variables show mean absolute errors ranging from 15 -30% as a result of model choice. Our results demonstrate how choice of atmospheric correction method generates differences in surface reflectance that propagate through to estimates of water quality. This work lays the foundation for more intensive field-based measurements of optical properties relevant to the remote sensing of rivers and other inland water bodies.
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/3SB3MUL
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/3SB3MUL
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Arquivo Alvokuhn_assessment.pdf
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Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.56.38 1
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6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
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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 Acesso16 maio 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
 4
 5
 6
 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
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Estágio do Conteúdoconcluido
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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.
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Arranjo 1urlib.net > BDMCI > Fonds > LabISA > ACIX-Aqua: A global...
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Unidades Imediatamente Superiores8JMKD3MGPCW/439EAFB
8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2020/09.18.00.06 5
sid.inpe.br/mtc-m21/2012/07.13.14.43.57 3
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
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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3R57MT8
Repositóriosid.inpe.br/mtc-m21c/2018/05.15.12.37
Última Atualização2018:05.15.12.37.24 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2018/05.15.12.37.24
Última Atualização dos Metadados2022:03.26.00.27.10 (UTC) administrator
Chave SecundáriaINPE-2696-PRE/293
Chave de CitaçãoDiasSantForm:1983:AtCoAn
TítuloAtmospheric correction analysis on Landsat data over the Amazon region
Ano1983
Data de Acesso16 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho170 KiB
2. Contextualização
Autor1 Dias, Luiz Alberto Vieira
2 Santos, João Roberto dos
3 Formaggio, Antonio Roberto
Grupo1 DDS-INPE-BR
2 DDS-INPE-BR
3 DDS-INPE-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Nome do EventoSymposium on Machine Processing of Remotely Sensed Data
Data21-23 june
Histórico (UTC)2018-05-15 12:37:51 :: simone -> administrator :: 1983
2022-03-26 00:27:10 :: administrator -> simone :: 1983
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãofinaldraft
Palavras-Chaveatmospheric correction
landsat data
amazon region
ResumoThe Amazon Region natural resources are studied in two ways and compared. Initially, a LANDSAT scene and its attributes are selected, and a maximum likelihood algorithm classification is made. The next step is the atmospheric correction of the scene, takin into account Amazonic peculiarities (checked with ground truth) of the same area, and the subsequent classification. Finally a comparison, wich shows that the classification improves with the atmospherically corrected images, is made.
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URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/3R57MT8
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/3R57MT8
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Arquivo Alvo2696.pdf
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Repositório Espelhourlib.net/www/2017/11.22.19.04.03
Unidades Imediatamente Superiores8JMKD3MGPCW/46JG78B
Lista de Itens Citandosid.inpe.br/bibdigital/2022/03.26.00.24 4
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber conferencelocation copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor electronicmailaddress format isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/45249BB
Repositóriosid.inpe.br/mtc-m21d/2021/07.01.19.27   (acesso restrito)
Última Atualização2021:07.01.19.27.26 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2021/07.01.19.27.26
Última Atualização dos Metadados2024:01.23.14.02.37 (UTC) simone
DOI10.5194/isprs-annals-V-3-2021-271-2021
ISSN0924-2716
Chave de CitaçãoMarujoFroSoaQueFer:2021:EvImLA
TítuloEvaluating the impact of LASRC and SEN2COR atmospheric correction algorithms on Landsat-8/OLI and Sentinel-2/MSI data over aeronet stations in brazilian territory
Ano2021
Data de Acesso16 maio 2024
Tipo de Trabalhoconference paper
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1030 KiB
2. Contextualização
Autor1 Marujo, Rennan de Freitas Bezerra
2 Fronza, José Guilherme
3 Soares, Anderson Reis
4 Queiroz, Gilberto Ribeiro de
5 Ferreira, Karine Reis
Identificador de Curriculo1
2
3
4 8JMKD3MGP5W/3C9JHBC
5 8JMKD3MGP5W/3C9JHKN
Grupo1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
2 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
3 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
4 DIOTG-CGCT-INPE-MCTI-GOV-BR
5 DIOTG-CGCT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 rennan.marujo@inpe.br
2 jose.fronza@inpe.br
3 anderson.soares@inpe.br
4 gilberto.queiroz@inpe.br
5 karine.ferreira@inpe.br
RevistaISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume3
Páginas271-277
Nota SecundáriaA1_GEOCIÊNCIAS A2_INTERDISCIPLINAR A2_CIÊNCIAS_AMBIENTAIS B1_ENGENHARIAS_IV B1_BIODIVERSIDADE C_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2021-07-01 19:27:26 :: simone -> administrator ::
2021-07-01 19:27:27 :: administrator -> simone :: 2021
2021-07-01 19:28:12 :: simone -> administrator :: 2021
2022-04-03 22:27:25 :: 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
Palavras-ChaveAtmospheric Correction
Sentinel-2
LaSRC
Sen2cor
AERONET
Surface Reflectance
ResumoAccurate and consistent Surface Reflectance estimation from optical remote sensor observations is directly dependant on the used atmospheric correction processor and the differences caused by it may have implications on further processes, e.g. classification. Brazil is a continental scale country with different biomes. Recently, new initiatives, as the Brazil Data Cube Project, are emerging and using free and open data policy data, more specifically medium spatial resolution sensor images, to create image data cubes and classify the Brazilian territory crops. For this reason, the purpose of this study is to verify, on Landsat-8 and Sentinel-2 images for the Brazilian territory, the suitability of the atmospheric correction processors maintained by their image providers, LaSRC from USGS and Sen2cor from ESA, respectively. To achieve this, we tested the surface reflectance products from Landsat-8 processed through LaSRC and Sentinel-2 processed through LaSRC and Sen2cor comparing to a reference dataset computed by ARCSI and AERONET. The obtained results point that Landsat-8/OLI images atmospherically corrected using the LaSRC corrector are consistent to the surface reflectance reference and other atmospheric correction processors studies, while for Sentinel-2/MSI images, Sen2cor performed best. Although corrections over Sentinel-2/MSI data werent as consistent as in Landsat-8/OLI corrections, in comparison to the surface reflectance references, most of the spectral bands achieved acceptable APU results.
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Arranjo 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Evaluating the impact...
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Arquivo Alvomarujo_evaluationg.pdf
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Unidades Imediatamente Superiores8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2022/04.03.22.23 1
sid.inpe.br/mtc-m21/2012/07.13.14.49.22 1
sid.inpe.br/bibdigital/2013/10.18.22.34 1
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
NotasPrêmio CAPES Elsevier 2023 - ODS 2: Fome zero e Agricultura sustentável
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository month nextedition number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemarte2.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP6W34M/3JM4CPH
Repositóriosid.inpe.br/marte2/2015/06.15.15.40.18
Última Atualização2015:06.15.15.40.18 (UTC) banon
Repositório de Metadadossid.inpe.br/marte2/2015/06.15.15.40.19
Última Atualização dos Metadados2021:01.24.14.02.48 (UTC) administrator
ISBN978-85-17-0076-8
Rótulo870
Chave de CitaçãoJorgeAmorBarb:2015:EfEsFo
TítuloEfficiency estimation of four different atmospheric correction algorithms in a sediment-loaded tropic lake for Landsat 8 OLI sensor
FormatoInternet
Ano2015
Data de Acesso16 maio 2024
Tipo SecundárioPRE CN
Número de Arquivos1
Tamanho441 KiB
2. Contextualização
Autor1 Jorge, Daniel Schaffer Ferreira
2 Amore, Diogo de Jesus
3 Barbosa, Claudio Clemente Faria
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JGSB
Grupo1 SER-SRE-SPG-INPE-MCTI-GOV-BR
2 SER-SRE-SPG-INPE-MCTI-GOV-BR
3 DPI-OBT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 danielsfj@dsr.inpe.br
EditorGherardi, Douglas Francisco Marcolino
Aragão, Luiz Eduardo Oliveira e Cruz de
Endereço de e-Mailwanderf@dsr.inpe.br
Nome do EventoSimpósio Brasileiro de Sensoriamento Remoto, 17 (SBSR)
Localização do EventoJoão Pessoa
Data25-29 abr. 2015
Editora (Publisher)Instituto Nacional de Pesquisas Espaciais (INPE)
Cidade da EditoraSão José dos Campos
Páginas4428-4435
Título do LivroAnais
OrganizaçãoInstituto Nacional de Pesquisas Espaciais (INPE)
Histórico (UTC)2015-06-15 15:40:19 :: banon -> administrator ::
2021-01-24 14:02:48 :: administrator -> simone :: 2015
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
ResumoAtmospheric correction algorithms allow the reduction of atmospheric components influence in the acquisition of earths surface reflectance properties. Quantifying this reduction is critical for the remote sensing science. Different regions have different natural or man-made composition and respond differently for each algorithm. Highly turbid inland waters are significantly sensitive to atmospheric correction algorithms, and these waters must be evaluated with care. This paper investigated the impact of turbidity levels in a sediment-laden tropical lake through the correlation analysis between image and ground-based Remote Sensing reflectance (Rrs) for the Landsat 8 OLI sensor. Four atmospheric algorithms were tested for Rrs estimation: DOS (Dark Object Substraction), FLAASH (Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes), 6S (Second Simulation of the Satellite Signal in the Solar Spectrum) and QUAC (QUick Atmospheric Correction). A regression linear model was applied to the data, and results showed two distinguishable features within the samples. The first feature set presents a near-one higher-angle slope value with R2 values ranging from 49-64%, and a near-zero lower-angle slope with R2 ranging from 49-71%. Despite the small data set used in this work, it is reasonable to assume the results demonstrate that, during the atmospheric correction process, the Rrs correlation undergoes a slope direction change. This is most likely due to the influence of higher turbidity levels.
ÁreaSRE
TipoSensoriamento remoto de águas interiores
Arranjo 1urlib.net > BDMCI > Fonds > SBSR > SBSR 17 > Efficiency estimation of...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > SBSR 17 > Efficiency estimation of...
Arranjo 3Projeto Memória 60... > Livros e livros editados > SBSR 17 > Efficiency estimation of...
Arranjo 4urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Efficiency estimation of...
Arranjo 5urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Efficiency estimation of...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP6W34M/3JM4CPH
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP6W34M/3JM4CPH
Idiomaen
Arquivo Alvop0870.pdf
Grupo de Usuáriosbanon
Visibilidadeshown
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Unidades Imediatamente Superiores8JMKD3MGP6W34M/3JJLLP2
8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3F3NU5S
Lista de Itens Citandosid.inpe.br/marte2/2015/05.31.21.54 10
sid.inpe.br/mtc-m21/2012/07.13.14.43.57 3
sid.inpe.br/bibdigital/2013/09.09.15.05 1
Acervo Hospedeirodpi.inpe.br/marte2/2013/05.17.15.03.06
6. Notas
Campos Vaziosarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition issn keywords lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype url versiontype volume
7. Controle da descrição
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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/3S29LAS
Repositóriosid.inpe.br/mtc-m21c/2018/10.10.14.10   (acesso restrito)
Última Atualização2018:10.10.14.10.10 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2018/10.10.14.10.10
Última Atualização dos Metadados2021:02.12.04.03.20 (UTC) administrator
DOI10.1016/j.rse.2018.09.017
ISSN0034-4257
Chave de CitaçãoMartinsSoNoBaPiArKa:2018:AsAtCo
TítuloContinental-scale surface reflectance product from CBERS-4 MUX data: Assessment of atmospheric correction method using coincident Landsat observations
Ano2018
MêsDec.
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho4849 KiB
2. Contextualização
Autor1 Martins, Vitor S.
2 Soares, João Vianei
3 Novo, Evlyn Márcia Leão de Moraes
4 Barbosa, Cláudio Clemente Faria
5 Pinto, Cibele T.
6 Arcanjo, Jeferson de Souza
7 Kaleita, Amy
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHF6
3 8JMKD3MGP5W/3C9JH39
4 8JMKD3MGP5W/3C9JGSB
Grupo1
2 COACB-CGOBT-INPE-MCTIC-GOV-BR
3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
4 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
5
6 CGOBT-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Iowa State University (ISU)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 South Dakota State Universit
6 Instituto Nacional de Pesquisas Espaciais (INPE)
7 Iowa State University (ISU)
Endereço de e-Mail do Autor1
2 joao.soares@inpe.br
3 evlyn.novo@inpe.br
4 claudio.barbosa@inpe.br
5
6 jeferson.arcanjo@inpe.br
RevistaRemote Sensing of Environment
Volume218
Páginas55-68
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE
Histórico (UTC)2018-10-10 14:10:10 :: simone -> administrator ::
2018-10-10 14:10:10 :: administrator -> simone :: 2018
2018-10-10 14:11:21 :: simone -> administrator :: 2018
2019-01-04 16:57:12 :: administrator -> simone :: 2018
2019-01-07 10:40:25 :: simone -> administrator :: 2018
2021-02-12 04:03:20 :: administrator -> simone :: 2018
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-ChaveCBERS
Surface reflectance
CMPAC
Landsat-8
MODIS VIIRS
ResumoA practical atmospheric correction algorithm, called Coupled Moderate Products for Atmospheric Correction (CMPAC), was developed and implemented for the Multispectral Camera (MUX) on-board the China-Brazil Earth Resources Satellite (CBERS-4). This algorithm uses a scene-based processing and sliding window technique to derive MUX surface reflectance (SR) at continental scale. Unlike other optical sensors, MUX instrument imposes constraints for atmospheric correction due to the absence of spectral bands for aerosol estimation from imagery itself. To overcome this limitation, the proposed algorithm performs a further processing of atmospheric products from Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) sensors as input parameters for radiative transfer calculations. The success of CMPAC algorithm was fully assessed and confirmed by comparison of MUX SR data with the Landsat-8 OLI Level-2 and Aerosol Robotic Network (AERONET)-derived SR products. The spectral adjustment was performed to compensate for the differences of relative spectral response between MUX and OLI sensors. The results show that MUX SR values are fairly similar to operational Landsat-8 SR products (mean difference < 0.0062, expressed in reflectance). There is a slight underestimation of MUX SR compared to OLI product (except the NIR band), but the error metrics are typically low and scattered points are around the line 1:1. These results suggest the potential of combining these datasets (MUX and OLI) for quantitative studies. Further, the robust agreement of MUX and AERONET-derived SR values emphasizes the quality of moderate atmospheric products as input parameters in this application, with root-mean-square deviation lower than 0.0047. These findings confirm that (i) CMPAC is a suitable tool for estimating surface reflectance of CBERS MUX data, and (ii) ancillary products support the application of atmospheric correction by filling the gap of atmospheric information. The uncertainties of atmospheric products, negligence of the bidirectional effects, and two aerosol models were also identified as a limitation. Finally, this study presents a framework basis for atmospheric correction of CBERS-4 MUX images. The utility of CBERS data comes from its use, and this new product enables the quantitative remote sensing for land monitoring and environmental assessment at 20 m spatial resolution.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Continental-scale surface reflectance...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Continental-scale surface reflectance...
Arranjo 3urlib.net > Produção anterior à 2021 > CGOBT > Continental-scale surface reflectance...
Arranjo 4urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COACB > Continental-scale surface reflectance...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 10/10/2018 11:10 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Arquivo Alvomartins_continental.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/3EQCCU5
8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3EU2H28
8JMKD3MGPCW/446CA5P
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.09.15.05 6
sid.inpe.br/mtc-m21/2012/07.13.14.43.57 3
sid.inpe.br/bibdigital/2013/09.13.21.11 2
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 rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
e-Mail (login)simone
atualizar