Integrated Analysis of Solar-Induced Chlorophyll Fluorescence, Normalized Difference Vegetation Index, and Column-Average CO2 Concentration in South-Central Brazilian Sugarcane Regions

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorFederal University of Maranhão (UFMA)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorde Meneses, Kamila Cunha-
Autor(es): dc.creatorde Souza Rolim, Glauco-
Autor(es): dc.creatorde Araújo Santos, Gustavo André-
Autor(es): dc.creatorLa Scala Junior, Newton-
Data de aceite: dc.date.accessioned2025-08-21T21:55:23Z-
Data de disponibilização: dc.date.available2025-08-21T21:55:23Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2024-10-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/agronomy14102345-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/299465-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/299465-
Descrição: dc.descriptionRemote sensing has proven to be a vital tool for monitoring and forecasting the quality and yield of crops. The utilization of innovative technologies such as Solar-Induced Fluorescence (SIF) and satellite measurements of column-averaged CO2 (xCO2) can enhance these estimations. SIF is a signal emitted by crops during photosynthesis, thus indicating photosynthetic activities. The concentration of atmospheric CO2 is a critical factor in determining the efficiency of photosynthesis. The aim of this study was to investigate the correlation between satellite-derived Solar-Induced Chlorophyll Fluorescence (SIF), column-averaged CO2 (xCO2), and Normalized Difference Vegetation Index (NDVI) and their association with sugarcane yield and sugar content in the field. This study was carried out in south-central Brazil. We used four localities to represent the region: Pradópolis, Araraquara, Iracemápolis, and Quirinópolis. Data were collected from orbital systems during the period spanning from 2015 to 2016. Concurrently, monthly data regarding tons of sugarcane per hectare (TCH) and total recoverable sugars (TRS) were gathered from 24 harvest locations within the studied plots. It was observed that TRS decreased when SIF values ranged between 0.4 W m−2 sr−1 μm−1 and 0.8 W m−2 sr−1 μm−1, particularly in conjunction with NDVI values below 0.5. TRS values peaked at 15 kg t−1 with low NDVI and xCO2 values, alongside SIF values lower than 0.4 W m−2 sr−1 μm−1 and greater than 1 W m−2 sr−1 μm−1. These findings underscore the potential of integrating SIF, xCO2, and NDVI measurements in the monitoring and forecasting of yield and sugar content in sugarcane crops.-
Descrição: dc.descriptionChapadinha Science Center Federal University of Maranhão (UFMA), MA-
Descrição: dc.descriptionDepartment of Engineering and Mathematical Sciences School of Agricultural and Veterinarian Sciences Sao Paulo State University (UNESP), SP-
Descrição: dc.descriptionDepartment of Engineering and Mathematical Sciences School of Agricultural and Veterinarian Sciences Sao Paulo State University (UNESP), SP-
Idioma: dc.languageen-
Relação: dc.relationAgronomy-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectclimate change-
Palavras-chave: dc.subjectcrop monitoring-
Palavras-chave: dc.subjectNormalized Difference Vegetation Index (NDVI)-
Palavras-chave: dc.subjectOCO-2-
Palavras-chave: dc.subjectremote sensing-
Palavras-chave: dc.subjectsugarcane yield-
Título: dc.titleIntegrated Analysis of Solar-Induced Chlorophyll Fluorescence, Normalized Difference Vegetation Index, and Column-Average CO2 Concentration in South-Central Brazilian Sugarcane Regions-
Tipo de arquivo: dc.typelivro digital-
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