Leveraging the application of Earth observation data for mapping cropland soils in Brazil (2021)
- Authors:
- USP affiliated authors: DEMATTE, JOSE ALEXANDRE MELO - ESALQ ; SAFANELLI, JOSÉ LUCAS - ESALQ ; POPPIEL, RAUL ROBERTO - ESALQ ; RIZZO, RODNEI - ESALQ ; DOTTO, ANDRÉ CARNIELETTO - ESALQ ; SILVERO, NÉLIDA ELIZABET QUIÑONEZ - ESALQ ; MENDES, WANDERSON DE SOUSA - ESALQ ; RUIZ, LUIS FERNANDO CHIMELO - ESALQ
- Unidade: ESALQ
- DOI: 10.1016/j.geoderma.2021.115042
- Subjects: APRENDIZADO COMPUTACIONAL; IMAGEAMENTO DE SATÉLITE; MAPEAMENTO DO SOLO; SENSORIAMENTO REMOTO; SOLO AGRÍCOLA; VARIABILIDADE ESPACIAL
- 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
SAFANELLI, José Lucas et al. Leveraging the application of Earth observation data for mapping cropland soils in Brazil. Geoderma, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.geoderma.2021.115042. Acesso em: 27 dez. 2025. -
APA
Safanelli, J. L., Demattê, J. A. M., Chabrillat, S., Poppiel, R. R., Rizzo, R., Dotto, A. C., et al. (2021). Leveraging the application of Earth observation data for mapping cropland soils in Brazil. Geoderma, 1-13. doi:10.1016/j.geoderma.2021.115042 -
NLM
Safanelli JL, Demattê JAM, Chabrillat S, Poppiel RR, Rizzo R, Dotto AC, Silvero NEQ, Mendes W de S, Bonfatti BR, Ruiz LFC, ten Caten A, Dalmolin RSD. Leveraging the application of Earth observation data for mapping cropland soils in Brazil [Internet]. Geoderma. 2021 ; 1-13.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1016/j.geoderma.2021.115042 -
Vancouver
Safanelli JL, Demattê JAM, Chabrillat S, Poppiel RR, Rizzo R, Dotto AC, Silvero NEQ, Mendes W de S, Bonfatti BR, Ruiz LFC, ten Caten A, Dalmolin RSD. Leveraging the application of Earth observation data for mapping cropland soils in Brazil [Internet]. Geoderma. 2021 ; 1-13.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1016/j.geoderma.2021.115042 - Improvement of clay and sand quantification based on a novel approach with a focus on multispectral satellite images
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Informações sobre o DOI: 10.1016/j.geoderma.2021.115042 (Fonte: oaDOI API)
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