Fechar

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Sitemtc-m12e.sid.inpe.br (namespace prefix: upn:4CUH36S)
Identificador8JMKD2USNRW34T/4DE5GT5
Repositóriosid.inpe.br/mtc-m12e/2025/05.04.12.23   (acesso restrito)
Última Atualização2025:05.04.12.23.56 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m12e/2025/05.04.12.23.56
Última Atualização dos Metadados2026:01.14.19.06.59 (UTC) administrator
Chave SecundáriaINPE--PRE/
DOI10.1016/j.srs.2025.100225
ISSN2666-0172
Chave de CitaçãoLimaMaPaCaMaGi:2025:GeSpBa
TítuloA general spectral bandpass adjustment function (SBAF) for harmonizing landsat-sentinel over inland and coastal waters
Ano2025
MêsJune
Data de Acesso25 out. 2026
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho18074 KiB
2. Contextualização
Autor1 Lima, Thainara M. A.
2 Martins, Vitor S.
3 Paulino, Rejane S.
4 Cabellaro, Cassia B.
5 Maciel, Daniel Andrade
6 Giardino, Cláudia
Grupo1
2
3
4
5 DIOTG-CGCT-INPE-MCTI-GOV-BR
Afiliação1 Mississippi State University (MSU)
2 Mississippi State University (MSU)
3 Mississippi State University (MSU)
4 Mississippi State University (MSU)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Consiglio Nazionale Delle Ricerche, Istituto per Il Rilevamento Elettromagnetico Dell'Ambiente (CNR-IREA)
Endereço de e-Mail do Autor1 tml411@msstate.edu
2 vmartins@abe.msstate.edu
3
4
5 daniel.maciel@inpe.br
RevistaScience of Remote Sensing
Volume11
Páginase100225
Acervo Hospedeirourlib.net/www/2025/02.16.04.07 upn:4CUH36S
Histórico (UTC)2025-05-04 12:24:28 :: simone -> administrator :: 2025
2026-01-14 19:06:59 :: administrator -> simone :: 2025
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 waters
Inland waters
Landsat-8/9
Radiometric cross-calibration
SBAF
Sentinel-2
ResumoLandsat 8/9 Operational Land Imager (OLI) and Sentinel-2 Multispectral Imager (MSI) are the most relevant medium spatial resolution data sources for aquatic applications, and integrating these spectral images into a single product constellation offers significant potential for monitoring dynamic processes over coastal and inland waters. Due to water's inherently low reflectance values, small differences in the relative spectral responses (RSR) between the two sensors can result in significant discrepancies in water reflectance retrievals. To ensure compatibility and consistency in harmonized products for aquatic studies, spectral bandpass adjustment function (SBAF) for cross-calibration between OLI and MSI sensors must be carefully derived and applied. This study provides a global analysis of 4047 match-ups of atmospherically corrected Landsat-8/9 OLI and Sentinel-2 A/B MSI L1 products over inland and coastal waters to generate a new general SBAF for aquatic studies. Atmospheric correction was performed using the 6 S V radiative transfer model, a widely validated approach for aquatic remote sensing applications. The selected images were sensed ≤30 min apart on the same day, under <5 % cloud cover, ≤5° solar zenith difference across different atmospheric conditions and aquatic systems (928 coastal and inland water bodies) over the world. A robust quality-controlled protocol was developed to remove low-quality image pairs under sun/sky glint, ice/snow surface, and cirrus clouds. Following this procedure, 2,2 million quality filtered water reflectance pixels were extracted. The SBAF coefficients (i.e., slope and offset) were derived through statistical regression between Landsat-8/9 and Sentinel-2 reflectance values. Additionally, we simulated sensor band responses using a global in-situ hyperspectral water dataset and calculated the SBAF coefficients for comparison with the pixel-based results. The application of SBAF was demonstrated through comparative analyses of spectral reflectance from Landsat-8/9 and Sentinel-2 before and after the cross-calibration. Our findings underscore the effectiveness of these coefficients in reducing spectral discrepancies between Landsat-8/9 and Sentinel-2 water reflectance measurements.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > LabISA > A general spectral...
Arranjo 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > A general spectral...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 04/05/2025 09:23 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Arquivo Alvo1-s2.0-S2666017225000318-main.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2025/02.16.04.07.51
Unidades Imediatamente Superiores8JMKD3MGPCW/439EAFB
8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2022/04.03.22.23 - 99
sid.inpe.br/bibdigital/2020/09.18.00.06 - 44
DivulgaçãoPORTALCAPES; SCOPUS.
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
e-Mail (login)simone
atualizar 


Fechar