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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Sitemtc-m21d.sid.inpe.br (namespace prefix: upn:44QHRCS)
Identificador8JMKD3MGP3W34T/4ARCJ4H
Repositóriosid.inpe.br/mtc-m21d/2024/03.01.13.19   (acesso restrito)
Última Atualização2024:03.01.13.19.57 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2024/03.01.13.19.57
Última Atualização dos Metadados2024:03.24.08.21.44 (UTC) administrator
DOI10.1109/LGRS.2024.3351328
ISSN1545-598X
Chave de CitaçãoPahlevanBBOAMHOG:2024:ReAnRe
TítuloA Retrospective Analysis of Remote-Sensing Reflectance Products in Coastal and Inland Waters
Ano2024
Data de Acesso23 out. 2026
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho14868 KiB
2. Contextualização
Autor1 Pahlevan, Nima
2 Balasubramanian, Sundarabalan
3 Begeman, Christopher C.
4 O'Shea, Ryan E.
5 Ashapure, Akash
6 Maciel, Daniel Andrade
7 Hall, Dorothy K.
8 Odermatt, Daniel
9 Giardino, Claudia
ORCID1 0000-0002-5454-5212
2
3
4
5
6
7 0000-0001-8921-0773
8 0000-0001-8449-0593
9 0000-0002-3937-4988
Grupo1
2
3
4
5
6 DIOTG-CGCT-INPE-MCTI-GOV-BR
Afiliação1 The Nasa Goddard Space Flight Center
2 University of Maryland Baltimore County
3 The Nasa Goddard Space Flight Center
4 The Nasa Goddard Space Flight Center
5 The Nasa Goddard Space Flight Center
6 Instituto Nacional de Pesquisas Espaciais (INPE)
7 University of Maryland
8 Swiss Federal Institute of Aquatic Science and Technology
9 National Research Council of Italy
Endereço de e-Mail do Autor1 nima.pahlevan@nasa.gov
2 vbsbalanin@gmail.com
3 christopher.c.begeman@nasa.gov
4 ryan.e.oshea@nasa.gov
5 akash.ashapure@nasa.gov
6 daniel.maciel@inpe.br
7 dkhall1@umd.edu
8 Daniel.Odermatt@eawag.ch
9 giardino.c@irea.cnr.it
RevistaIEEE Geoscience and Remote Sensing Letters
Volume21
Páginase1501205
Nota SecundáriaA1_GEOGRAFIA A1_ENGENHARIAS_IV A2_INTERDISCIPLINAR A2_GEOCIÊNCIAS B1_CIÊNCIA_DA_COMPUTAÇÃO B2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B2_BIOTECNOLOGIA B3_ASTRONOMIA_/_FÍSICA C_CIÊNCIAS_AGRÁRIAS_I
Acervo Hospedeirourlib.net/www/2021/06.04.03.40 upn:44QHRCS
Histórico (UTC)2024-03-01 13:19:57 :: simone -> administrator ::
2024-03-01 13:19:59 :: administrator -> simone :: 2024
2024-03-01 13:21:14 :: simone -> administrator :: 2024
2024-03-24 08:21:44 :: administrator -> simone :: 2024
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-ChaveCoastal and inland waters
freshwater ecosystems
medium resolution imaging spectrometer (MERIS)
moderate resolution imaging spectroradiometer (MODIS)
ocean color (OC)
remote sensing reflectance
validation
visible infrared imaging radiometer suite (VIIRS)
ResumoConstructing a robust ocean color (OC) record (e.g., water transparency, phytoplankton absorption) for long-term assessments of coastal and inland water ecosystems from past, present, and future missions requires high-quality spectral remote sensing reflectance (Rrs) products. Using the GLORIA dataset (Lehmann et al., 2023), we evaluated the quality of Rrs products from the moderate resolution imaging spectroradiometer (MODIS on Terra and Aqua), medium resolution imaging spectrometer (MERIS), and visible infrared imaging radiometer suite (VIIRS) processed via the two-band heritage atmospheric correction method (a combination of near-infrared and shortwave infrared bands) available in the SeaWiFS Analysis Data Analysis System (SeaDAS). Overall, retrieval residuals are consistent within a few percentages among the four missions. Median residuals ranged from ~ 20% in the ~ 550-nm band to > 60% in the ~ 412-nm bands. Spectrally averaged root mean squared differences for all the missions were ~ 0.0024 sr-1 with one standard deviation of ~ 0.001 sr-1. The corresponding (median) biases in the visible bands varied from -60% to -3%, with the largest biases identified in MERIS and VIIRS products. Despite the lower sensitivity of band-ratio algorithms to residuals in specific spectral regions [e.g., OC3 chlorophyll-a algorithm is less prone to residuals in Rrs (λ >600 nm)], other algorithms or downstream products that leverage all the visible bands are highly compromised. We underscore the need to improve the quality of Rrs products, thereby enabling the reconstruction of baseline OC products of high caliber in global coastal and inland waters that are often near human activity.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > LabISA > A Retrospective Analysis...
Arranjo 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > A Retrospective Analysis...
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Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
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4. Condições de acesso e uso
Idiomaen
Arquivo AlvoA_Retrospective_Analysis_of_Remote-Sensing_Reflectance_Products_in_Coastal_and_Inland_Waters.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
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Visibilidadeshown
Política de Arquivamentodenypublisher allowfinaldraft
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2021/06.04.03.40.25
Unidades Imediatamente Superiores8JMKD3MGPCW/439EAFB
8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2022/04.03.22.23 - 130
sid.inpe.br/bibdigital/2020/09.18.00.06 - 64
DivulgaçãoWEBSCI; PORTALCAPES; SCIELO; AGU; MGA; COMPENDEX; IEEEXplore.
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark month nextedition notes number parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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