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Artigo de periodico
Soil Color and Mineralogy Mapping Using Proximal and Remote Sensing in Midwest Brazil (2020)
Poppiel, Raúl Roberto ; Lacerda, Marilusa P. C ; Rizzo, Rodnei ; Safanelli, José Lucas ; Bonfatti, Benito Roberto ; Silvero, Nélida Elizabet Quiñonez ; Demattê, José Alexandre Melo
Source: Remote Sensing. Unidades: ESALQ, ECOLOGIA APLICADA
Subjects: SENSORIAMENTO REMOTO, COR DO SOLO, MAPEAMENTO DO SOLO, MINERALOGIA DO SOLO, TIPOLOGIA DO SOLO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
POPPIEL, Raúl Roberto et al. Soil Color and Mineralogy Mapping Using Proximal and Remote Sensing in Midwest Brazil. Remote Sensing, v. 12, p. 1-31, 2020Tradução . . Disponível em: https://doi.org/10.3390/rs12071197. Acesso em: 15 nov. 2024.
APA
Poppiel, R. R., Lacerda, M. P. C., Rizzo, R., Safanelli, J. L., Bonfatti, B. R., Silvero, N. E. Q., & Demattê, J. A. M. (2020). Soil Color and Mineralogy Mapping Using Proximal and Remote Sensing in Midwest Brazil. Remote Sensing, 12, 1-31. doi:10.3390/rs12071197
NLM
Poppiel RR, Lacerda MPC, Rizzo R, Safanelli JL, Bonfatti BR, Silvero NEQ, Demattê JAM. Soil Color and Mineralogy Mapping Using Proximal and Remote Sensing in Midwest Brazil [Internet]. Remote Sensing. 2020 ; 12 1-31.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/rs12071197
Vancouver
Poppiel RR, Lacerda MPC, Rizzo R, Safanelli JL, Bonfatti BR, Silvero NEQ, Demattê JAM. Soil Color and Mineralogy Mapping Using Proximal and Remote Sensing in Midwest Brazil [Internet]. Remote Sensing. 2020 ; 12 1-31.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/rs12071197
Artigo de periodico
Pedology and soil class mapping from proximal and remote sensed data (2019)
Poppiel, Raul Roberto ; Lacerda, Marilusa P. C ; Dematte, Jose Alexandre Melo ; Oliveira Jr, Manuel P; Gallo, Bruna Cristina ; Safanelli, José Lucas
Source: Geoderma. Unidade: ESALQ
Subjects: ESPECTROSCOPIA, IMAGEAMENTO DE SATÉLITE, MAPEAMENTO DO SOLO, PEDOLOGIA, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
POPPIEL, Raul Roberto et al. Pedology and soil class mapping from proximal and remote sensed data. Geoderma, v. 348, p. 189-206, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.geoderma.2019.04.028. Acesso em: 15 nov. 2024.
APA
Poppiel, R. R., Lacerda, M. P. C., Dematte, J. A. M., Oliveira Jr, M. P., Gallo, B. C., & Safanelli, J. L. (2019). Pedology and soil class mapping from proximal and remote sensed data. Geoderma, 348, 189-206. doi:10.1016/j.geoderma.2019.04.028
NLM
Poppiel RR, Lacerda MPC, Dematte JAM, Oliveira Jr MP, Gallo BC, Safanelli JL. Pedology and soil class mapping from proximal and remote sensed data [Internet]. Geoderma. 2019 ; 348 189-206.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.geoderma.2019.04.028
Vancouver
Poppiel RR, Lacerda MPC, Dematte JAM, Oliveira Jr MP, Gallo BC, Safanelli JL. Pedology and soil class mapping from proximal and remote sensed data [Internet]. Geoderma. 2019 ; 348 189-206.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.geoderma.2019.04.028
Artigo de periodico
Mapping at 30 m Resolution of Soil Attributes at Multiple Depths in Midwest Brazil (2019)
Poppiel, Raul Roberto ; Lacerda, Marilusa P. C ; Safanelli, José Lucas ; Rizzo, Rodnei ; Oliveira Júnior, Manuel P; Novais, Jean Jesus ; Demattê, Jose Alexandre Melo
Source: Remote Sensing. Unidade: ESALQ
Subjects: MANEJO DO SOLO, MAPEAMENTO DO SOLO, SENSORIAMENTO REMOTO, SOLO DE CERRADO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
POPPIEL, Raul Roberto et al. Mapping at 30 m Resolution of Soil Attributes at Multiple Depths in Midwest Brazil. Remote Sensing, v. 11, p. 1-29, 2019Tradução . . Disponível em: https://doi.org/10.3390/rs11242905. Acesso em: 15 nov. 2024.
APA
Poppiel, R. R., Lacerda, M. P. C., Safanelli, J. L., Rizzo, R., Oliveira Júnior, M. P., Novais, J. J., & Demattê, J. A. M. (2019). Mapping at 30 m Resolution of Soil Attributes at Multiple Depths in Midwest Brazil. Remote Sensing, 11, 1-29. doi:10.3390/rs11242905
NLM
Poppiel RR, Lacerda MPC, Safanelli JL, Rizzo R, Oliveira Júnior MP, Novais JJ, Demattê JAM. Mapping at 30 m Resolution of Soil Attributes at Multiple Depths in Midwest Brazil [Internet]. Remote Sensing. 2019 ; 11 1-29.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/rs11242905
Vancouver
Poppiel RR, Lacerda MPC, Safanelli JL, Rizzo R, Oliveira Júnior MP, Novais JJ, Demattê JAM. Mapping at 30 m Resolution of Soil Attributes at Multiple Depths in Midwest Brazil [Internet]. Remote Sensing. 2019 ; 11 1-29.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/rs11242905
Artigo de periodico
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)
Poppiel, Raul Roberto ; Lacerda, Marilusa P. C ; Dematte, Jose Alexandre Melo ; Oliveira Júnior, Manuel P; Gallo, Bruna Cristina ; Safanelli, Jose Lucas
Source: Data in Brief. Unidade: ESALQ
Subjects: CLASSIFICAÇÃO DO SOLO, MANEJO DO SOLO, MAPEAMENTO DO SOLO, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 15 nov. 2024.
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 2024 nov. 15 ] 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 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.dib.2019.104070
Artigo de periodico
Multi-temporal satellite images on topsoil attribute quantification and the relationship with soil classes and geology (2018)
Gallo, Bruna Cristina ; Demattê, Jose Alexandre Melo ; Rizzo, Rodnei ; Safanelli, José Lucas ; Mendes, Wanderson de Sousa ; Lepsch, Igo Fernando ; Sato, Marcus Vinicius ; Romero, Danilo Jefferson ; Lacerda, Marilusa P. C
Source: Remote Sensing. Unidades: ESALQ, ECOLOGIA APLICADA
Subjects: CLASSIFICAÇÃO DO SOLO, IMAGEAMENTO DE SATÉLITE, MAPEAMENTO DO SOLO, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GALLO, Bruna Cristina et al. Multi-temporal satellite images on topsoil attribute quantification and the relationship with soil classes and geology. Remote Sensing, v. 10, p. 1-21, 2018Tradução . . Disponível em: https://doi.org/10.3390/rs10101571. Acesso em: 15 nov. 2024.
APA
Gallo, B. C., Demattê, J. A. M., Rizzo, R., Safanelli, J. L., Mendes, W. de S., Lepsch, I. F., et al. (2018). Multi-temporal satellite images on topsoil attribute quantification and the relationship with soil classes and geology. Remote Sensing, 10, 1-21. doi:10.3390/rs10101571
NLM
Gallo BC, Demattê JAM, Rizzo R, Safanelli JL, Mendes W de S, Lepsch IF, Sato MV, Romero DJ, Lacerda MPC. Multi-temporal satellite images on topsoil attribute quantification and the relationship with soil classes and geology [Internet]. Remote Sensing. 2018 ; 10 1-21.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/rs10101571
Vancouver
Gallo BC, Demattê JAM, Rizzo R, Safanelli JL, Mendes W de S, Lepsch IF, Sato MV, Romero DJ, Lacerda MPC. Multi-temporal satellite images on topsoil attribute quantification and the relationship with soil classes and geology [Internet]. Remote Sensing. 2018 ; 10 1-21.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/rs10101571
Artigo de periodico
Tropical texture determination by proximal sensing using a regional spectral library and its relationship with soil classification (2016)
Lacerda, Marilusa P. C ; Demattê, José Alexandre Melo ; Sato, Marcus Vinicius ; Fongaro, Caio Troula; Gallo, Bruna Cristina ; Souza, Arnaldo
Source: Remote Sensing. Unidade: ESALQ
Subjects: CLASSIFICAÇÃO DO SOLO, MANEJO DO SOLO, SENSORIAMENTO REMOTO, TEXTURA DO SOLO, USO DO SOLO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LACERDA, Marilusa P. C et al. Tropical texture determination by proximal sensing using a regional spectral library and its relationship with soil classification. Remote Sensing, v. 8, n. 9, 2016Tradução . . Disponível em: https://doi.org/10.3390/rs8090701. Acesso em: 15 nov. 2024.
APA
Lacerda, M. P. C., Demattê, J. A. M., Sato, M. V., Fongaro, C. T., Gallo, B. C., & Souza, A. (2016). Tropical texture determination by proximal sensing using a regional spectral library and its relationship with soil classification. Remote Sensing, 8( 9). doi:10.3390/rs8090701
NLM
Lacerda MPC, Demattê JAM, Sato MV, Fongaro CT, Gallo BC, Souza A. Tropical texture determination by proximal sensing using a regional spectral library and its relationship with soil classification [Internet]. Remote Sensing. 2016 ; 8( 9):[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/rs8090701
Vancouver
Lacerda MPC, Demattê JAM, Sato MV, Fongaro CT, Gallo BC, Souza A. Tropical texture determination by proximal sensing using a regional spectral library and its relationship with soil classification [Internet]. Remote Sensing. 2016 ; 8( 9):[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/rs8090701

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