Soil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA method (2019)
- Authors:
- USP affiliated authors: DEMATTE, JOSE ALEXANDRE MELO - ESALQ ; GALLO, BRUNA CRISTINA - ESALQ ; SAFANELLI, JOSÉ LUCAS - ESALQ
- Unidade: ESALQ
- DOI: 10.1016/j.dib.2019.104070
- Subjects: CLASSIFICAÇÃO DO SOLO; MANEJO DO SOLO; MAPEAMENTO DO SOLO; SENSORIAMENTO REMOTO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Data in Brief
- ISSN: 2352-3409
- Volume/Número/Paginação/Ano: v. 25, p. 1-6, 2019
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
POPPIEL, Raul Roberto et al. Soil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA method. Data in Brief, v. 25, p. 1-6, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.dib.2019.104070. Acesso em: 12 fev. 2026. -
APA
Poppiel, R. R., Lacerda, M. P. C., Dematte, J. A. M., Oliveira Júnior, M. P., Gallo, B. C., & Safanelli, J. L. (2019). Soil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA method. Data in Brief, 25, 1-6. doi:10.1016/j.dib.2019.104070 -
NLM
Poppiel RR, Lacerda MPC, Dematte JAM, Oliveira Júnior MP, Gallo BC, Safanelli JL. Soil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA method [Internet]. Data in Brief. 2019 ; 25 1-6.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1016/j.dib.2019.104070 -
Vancouver
Poppiel RR, Lacerda MPC, Dematte JAM, Oliveira Júnior MP, Gallo BC, Safanelli JL. Soil class map of the Rio Jardim watershed in Central Brazil at 30 meter spatial resolution based on proximal and remote sensed data and MESMA method [Internet]. Data in Brief. 2019 ; 25 1-6.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1016/j.dib.2019.104070 - Pedology and soil class mapping from proximal and remote sensed data
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Informações sobre o DOI: 10.1016/j.dib.2019.104070 (Fonte: oaDOI API)
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