CO2Flux Model Assessment and Comparison between an Airborne Hyperspectral Sensor and Orbital Multispectral Imagery in Southern Amazonia

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Autor(es): dc.contributorState University of Mato Grosso (UNEMAT)-
Autor(es): dc.contributorUniversidade Federal de Mato Grosso do Sul (UFMS)-
Autor(es): dc.contributorUniversidade Estadual de Maringá (UEM)-
Autor(es): dc.contributorLouisiana State University (LSU)-
Autor(es): dc.contributorFederal University of Mato Grosso (UFMT)-
Autor(es): dc.contributorUniversity of South Alabama-
Autor(es): dc.contributorFederal University of Alagoas (UFAL)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorDella-Silva, João Lucas-
Autor(es): dc.creatorSilva Junior, Carlos Antonio da-
Autor(es): dc.creatorLima, Mendelson-
Autor(es): dc.creatorTeodoro, Paulo Eduardo-
Autor(es): dc.creatorNanni, Marcos Rafael-
Autor(es): dc.creatorShiratsuchi, Luciano Shozo-
Autor(es): dc.creatorTeodoro, Larissa Pereira Ribeiro-
Autor(es): dc.creatorCapristo-Silva, Guilherme Fernando-
Autor(es): dc.creatorBaio, Fabio Henrique Rojo-
Autor(es): dc.creatorOliveira, Gabriel de-
Autor(es): dc.creatorOliveira-Júnior, José Francisco de-
Autor(es): dc.creatorRossi, Fernando Saragosa-
Data de aceite: dc.date.accessioned2025-08-21T16:51:44Z-
Data de disponibilização: dc.date.available2025-08-21T16:51:44Z-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2022-05-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/su14095458-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/240038-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/240038-
Descrição: dc.descriptionIn environmental research, remote sensing techniques are mostly based on orbital data, which are characterized by limited acquisition and often poor spectral and spatial resolutions in relation to suborbital sensors. This reflects on carbon patterns, where orbital remote sensing bears devoted sensor systems for CO2 monitoring, even though carbon observations are performed with natural resources systems, such as Landsat, supported by spectral models such as CO2Flux adapted to multispectral imagery. Based on the considerations above, we have compared the CO2Flux model by using four different imagery systems (Landsat 8, PlanetScope, Sentinel-2, and AisaFenix) in the northern part of the state of Mato Grosso, southern Brazilian Amazonia. The study area covers three different land uses, which are primary tropical forest, bare soil, and pasture. After the atmospheric correction and radiometric calibration, the scenes were resampled to 30 m of spatial resolution, seeking for a parametrized comparison of CO2Flux, as well as NDVI (Normalized Difference Vegetation Index) and PRI (Photochemical Reflectance Index). The results obtained here suggest that PlanetScope, MSI/Sentinel-2, OLI/Landsat-8, and AisaFENIX can be similarly scaled, that is, the data variability along a heterogeneous scene in evergreen tropical forest is similar. We highlight that the spatial-temporal dynamics of rainfall seasonality relation to CO2 emission and uptake should be assessed in future research. Our results provide a better understanding on how the merge and/or combination of different airborne and orbital datasets that can provide reliable estimates of carbon emission and absorption within different terrestrial ecosystems in southern Amazonia.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionPrograma de Pós-Graduação em Biodiversidade e Biotecnologia da Amazônia Legal (BIONORTE) State University of Mato Grosso (UNEMAT), Mato Grosso-
Descrição: dc.descriptionDepartment of Geography State University of Mato Grosso (UNEMAT), Mato Grosso-
Descrição: dc.descriptionDepartment of Biology State University of Mato Grosso (UNEMAT), Mato Grosso-
Descrição: dc.descriptionDepartment of Agronomy Federal University of Mato Grosso do Sul (UFMS), Mato Grosso do Sul-
Descrição: dc.descriptionDepartment of Agronomy State University of Maringá (UEM), Paraná-
Descrição: dc.descriptionAgCenter School of Plant Environmental and Soil Sciences Louisiana State University (LSU)-
Descrição: dc.descriptionPostgraduate Program in Agronomy Federal University of Mato Grosso (UFMT), Mato Grosso-
Descrição: dc.descriptionDepartment of Earth Sciences University of South Alabama-
Descrição: dc.descriptionInstitute of Atmospheric Sciences Federal University of Alagoas (UFAL), Alagoas-
Descrição: dc.descriptionDepartment of Agronomy State University of São Paulo (UNESP), São Paulo-
Descrição: dc.descriptionDepartment of Agronomy State University of São Paulo (UNESP), São Paulo-
Descrição: dc.descriptionCAPES: 001-
Descrição: dc.descriptionCNPq: 303767/2020-0-
Descrição: dc.descriptionCNPq: 306022/20214-
Descrição: dc.descriptionCNPq: 309250/2021-8-
Descrição: dc.descriptionCNPq: 316843/2021-0-
Idioma: dc.languageen-
Relação: dc.relationSustainability (Switzerland)-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectBrazilian Amazon-
Palavras-chave: dc.subjectcarbon patterns-
Palavras-chave: dc.subjectCO2Flux-
Palavras-chave: dc.subjecthyperspectral imagery-
Palavras-chave: dc.subjectorbital remote sensing-
Título: dc.titleCO2Flux Model Assessment and Comparison between an Airborne Hyperspectral Sensor and Orbital Multispectral Imagery in Southern Amazonia-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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