Correlation Between the Growth Index and Vegetation Indices for Irrigated Soybeans Using Free Orbital Images

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorFederal University of the Jequitinhonha and Mucuri Valleys-
Autor(es): dc.contributorFederal University of Viçosa-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorde Oliveira, Gildriano Soares-
Autor(es): dc.creatorSouza, Jackson Paulo Silva-
Autor(es): dc.creatorCardozo, Érica Pereira-
Autor(es): dc.creatorPacheco, Dhiego Gonçalves-
Autor(es): dc.creatorFerreira, Marinaldo Loures-
Autor(es): dc.creatorPicanço, Marcelo Coutinho-
Autor(es): dc.creatorSoares, João Rafael Silva-
Autor(es): dc.creatorAlves, Ana Maria Oliveira Souza-
Autor(es): dc.creatorde Andrade, André Medeiros-
Autor(es): dc.creatorda Silva, Ricardo Siqueira-
Data de aceite: dc.date.accessioned2025-08-21T22:51:55Z-
Data de disponibilização: dc.date.available2025-08-21T22:51:55Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2025-03-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/agriengineering7030067-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/303984-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/303984-
Descrição: dc.descriptionSoybeans are key in generating foreign currency for the world economy. Geotechnologies, through vegetation indices (VIs) generated by orbital images or remotely piloted aircraft, are essential tools for assessing the impact of climate on productivity and the ecoclimatic suitability of crops. This study aimed to correlate the growth indices from the CLIMEX model, previously validated, with VIs derived from orbital remote sensing and ecological niche modeling for soybean cultivation in six irrigated pivots located in the northwest of Minas Gerais, Brazil. The maximum normalized difference vegetation index (NDVImax) and the maximum soil-adjusted vegetation index (SAVImax) were extracted from Landsat-8 OLI/TIRS sensor images for the 2016 to 2019 harvests during the R1 to R3 phenological stages. The maximum NDVI values varied across the study regions and crops, ranging from 0.27 to 0.95. Similarly, SAVI values exhibited variability, with the maximum SAVI ranging from 0.13 to 0.85. The growth index (GIw), derived from the CLIMEX model, ranged from 0.88 to 1. The statistical analysis confirmed a significant correlation (p < 0.05) between NDVImax and GIw only for the 2018/19 harvest, with a Pearson correlation coefficient of r = 0.86, classified as very strong. Across all harvests, NDVI consistently outperformed SAVI in correlation strength with GIw. Using geotechnologies through remote sensing shows promise for correlating spectral indices and climate suitability models. However, when using a valid model, all crops did not correlate. Still, our study has the potential to be improved by investigating new hypotheses, such as using drone images with better resolution (spatial, spectral, temporal, and radiometric) and adjusting the response of soybean vegetation indices and the phenological stage. Our results correlating the CLIMEX model of growth indices with vegetation indices have the potential for monitoring soybean cultivation and analyzing the performance of varieties but require a more in-depth view to adapt the methodology.-
Descrição: dc.descriptionDepartment of Agronomy Federal University of the Jequitinhonha and Mucuri Valleys, MG-
Descrição: dc.descriptionDepartment of Entomology Federal University of Viçosa, MG-
Descrição: dc.descriptionSão Paulo State University “Júlio de Mesquita Filho”, Via de Acesso Professor Paulo Donato Castelane Castellane S/N-Vila IndustrialSP-
Descrição: dc.descriptionSão Paulo State University “Júlio de Mesquita Filho”, Via de Acesso Professor Paulo Donato Castelane Castellane S/N-Vila IndustrialSP-
Idioma: dc.languageen-
Relação: dc.relationAgriEngineering-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectgeotechnologies-
Palavras-chave: dc.subjectGlycine max (L) Merrill-
Palavras-chave: dc.subjectLandsat-8-
Palavras-chave: dc.subjectmodeling-
Palavras-chave: dc.subjectspectral indices-
Título: dc.titleCorrelation Between the Growth Index and Vegetation Indices for Irrigated Soybeans Using Free Orbital Images-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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