Sand subfractions by proximal and satellite sensing: optimizing agricultural expansion in tropical sandy soils (2024)
- Authors:
- USP affiliated authors: DEMATTE, JOSE ALEXANDRE MELO - ESALQ ; MELLO, DANILO CÉSAR DE - ESALQ ; POPPIEL, RAUL ROBERTO - ESALQ
- Unidade: ESALQ
- DOI: 10.1016/j.catena.2023.107604
- Subjects: AREIA; FLUORESCÊNCIA; RAIOS X; IMAGEAMENTO DE SATÉLITE; MINERALOGIA DO SOLO; SENSORIAMENTO REMOTO; SOLO ARENOSO
- Keywords: Dados multiespectrais
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
DI RAIMO, Luis Augusto Di Loreto et al. Sand subfractions by proximal and satellite sensing: optimizing agricultural expansion in tropical sandy soils. Catena, v. 234, p. 1-20, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.catena.2023.107604. Acesso em: 27 dez. 2025. -
APA
Di Raimo, L. A. D. L., Couto, E. G., Poppiel, R. R., Mello, D. C. de, Amorim, R. S. S., Torres, G. N., et al. (2024). Sand subfractions by proximal and satellite sensing: optimizing agricultural expansion in tropical sandy soils. Catena, 234, 1-20. doi:10.1016/j.catena.2023.107604 -
NLM
Di Raimo LADL, Couto EG, Poppiel RR, Mello DC de, Amorim RSS, Torres GN, Bocuti ED, Veloso GV, Fernandes-Filho EI, Francelino MR, Demattê JAM. Sand subfractions by proximal and satellite sensing: optimizing agricultural expansion in tropical sandy soils [Internet]. Catena. 2024 ; 234 1-20.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1016/j.catena.2023.107604 -
Vancouver
Di Raimo LADL, Couto EG, Poppiel RR, Mello DC de, Amorim RSS, Torres GN, Bocuti ED, Veloso GV, Fernandes-Filho EI, Francelino MR, Demattê JAM. Sand subfractions by proximal and satellite sensing: optimizing agricultural expansion in tropical sandy soils [Internet]. Catena. 2024 ; 234 1-20.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1016/j.catena.2023.107604 - Optimizing soil texture spatial prediction in the brazilian cerrado: Insights from random forest and spectral data
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Informações sobre o DOI: 10.1016/j.catena.2023.107604 (Fonte: oaDOI API)
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