ReP USP - Resultado da busca

Dissertação (Mestrado)
Proximal and remote sensing to soil mineralogy assessment (2022)
Rosin, Nícolas Augusto ; Dematte, Jose Alexandre Melo (Orientador)
Unidade: ESALQ
Subjects: ESPECTROSCOPIA, FLUORESCÊNCIA, MAPEAMENTO DO SOLO, MINERALOGIA DO SOLO, RAIOS X, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROSIN, Nícolas Augusto; DEMATTE, Jose Alexandre Melo. Proximal and remote sensing to soil mineralogy assessment. 2022.Universidade de São Paulo, Piracicaba, 2022. Disponível em: < https://www.teses.usp.br/teses/disponiveis/11/11140/tde-12042022-162844/ > DOI: https://doi.org/10.11606/D.11.2022.tde-12042022-162844.
APA
Rosin, N. A., & Dematte, J. A. M. (2022). Proximal and remote sensing to soil mineralogy assessment. Universidade de São Paulo, Piracicaba. Recuperado de https://www.teses.usp.br/teses/disponiveis/11/11140/tde-12042022-162844/
NLM
Rosin NA, Dematte JAM. Proximal and remote sensing to soil mineralogy assessment [Internet]. 2022 ;Available from: https://www.teses.usp.br/teses/disponiveis/11/11140/tde-12042022-162844/
Vancouver
Rosin NA, Dematte JAM. Proximal and remote sensing to soil mineralogy assessment [Internet]. 2022 ;Available from: https://www.teses.usp.br/teses/disponiveis/11/11140/tde-12042022-162844/
Artigo de periodico
A remote sensing framework to map potential toxic elements in agricultural soils in the humid tropics (2022)
Mendes, Wanderson de Sousa; Demattê, José Alexandre Melo ; Resende, Maria Eduarda B. de ; Ruiz, Luiz Fernando Chimelo ; Mello, Danilo César de; Rosas, Jorge Tadeu Fim ; Quiñonez Silvero, Nélida Elizabet ; Alleoni, Luís Reynaldo Ferracciú ; Colzato, Marina ; Rosin, Nícolas Augusto ; Campos, Lucas Rabelo
Source: Environmental Pollution. Unidade: ESALQ
Subjects: SENSORIAMENTO REMOTO, SOLO TROPICAL, MAPEAMENTO DO SOLO, MONITORAMENTO AMBIENTAL, CONTAMINAÇÃO DO SOLO, TOXICIDADE DO SOLO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MENDES, Wanderson de Sousa; DEMATTÊ, José Alexandre Melo; RESENDE, Maria Eduarda B. de; et al. A remote sensing framework to map potential toxic elements in agricultural soils in the humid tropics. Environmental Pollution, Amsterdam, v. 292, p. 1-11, 2022. Disponível em: < https://doi.org/10.1016/j.envpol.2021.118397 > DOI: 10.1016/j.envpol.2021.118397.
APA
Mendes, W. de S., Demattê, J. A. M., Resende, M. E. B. de, Ruiz, L. F. C., Mello, D. C. de, Rosas, J. T. F., et al. (2022). A remote sensing framework to map potential toxic elements in agricultural soils in the humid tropics. Environmental Pollution, 292, 1-11. doi:10.1016/j.envpol.2021.118397
NLM
Mendes W de S, Demattê JAM, Resende MEB de, Ruiz LFC, Mello DC de, Rosas JTF, Quiñonez Silvero NE, Alleoni LRF, Colzato M, Rosin NA, Campos LR. A remote sensing framework to map potential toxic elements in agricultural soils in the humid tropics [Internet]. Environmental Pollution. 2022 ; 292 1-11.Available from: https://doi.org/10.1016/j.envpol.2021.118397
Vancouver
Mendes W de S, Demattê JAM, Resende MEB de, Ruiz LFC, Mello DC de, Rosas JTF, Quiñonez Silvero NE, Alleoni LRF, Colzato M, Rosin NA, Campos LR. A remote sensing framework to map potential toxic elements in agricultural soils in the humid tropics [Internet]. Environmental Pollution. 2022 ; 292 1-11.Available from: https://doi.org/10.1016/j.envpol.2021.118397
Artigo de periodico
Complex hydrological knowledge to support digital soil mapping (2022)
Mello, Fellipe A. O ; Demattê, José Alexandre Melo ; Rizzo, Rodnei ; Mello, Danilo C. de; Poppiel, Raul R ; Silvero, Nélida E. Q ; Safanelli, José L ; Bellinaso, Henrique; Bonfatti, Benito R; Gomez, Andres M. R ; Sousa, Gabriel P. B
Source: Geoderma. Unidades: ESALQ, CENA
Subjects: MAPEAMENTO DO SOLO, MORFOMETRIA, PAISAGEM, REDES DE DRENAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MELLO, Fellipe A. O; DEMATTÊ, José Alexandre Melo; RIZZO, Rodnei; et al. Complex hydrological knowledge to support digital soil mapping. Geoderma, Amsterdam, v. 409, p. 1-14, 2022. Disponível em: < https://doi.org/10.1016/j.geoderma.2021.115638 > DOI: 10.1016/j.geoderma.2021.115638.
APA
Mello, F. A. O., Demattê, J. A. M., Rizzo, R., Mello, D. C. de, Poppiel, R. R., Silvero, N. E. Q., et al. (2022). Complex hydrological knowledge to support digital soil mapping. Geoderma, 409, 1-14. doi:10.1016/j.geoderma.2021.115638
NLM
Mello FAO, Demattê JAM, Rizzo R, Mello DC de, Poppiel RR, Silvero NEQ, Safanelli JL, Bellinaso H, Bonfatti BR, Gomez AMR, Sousa GPB. Complex hydrological knowledge to support digital soil mapping [Internet]. Geoderma. 2022 ; 409 1-14.Available from: https://doi.org/10.1016/j.geoderma.2021.115638
Vancouver
Mello FAO, Demattê JAM, Rizzo R, Mello DC de, Poppiel RR, Silvero NEQ, Safanelli JL, Bellinaso H, Bonfatti BR, Gomez AMR, Sousa GPB. Complex hydrological knowledge to support digital soil mapping [Internet]. Geoderma. 2022 ; 409 1-14.Available from: https://doi.org/10.1016/j.geoderma.2021.115638
Artigo de periodico
Spatial variability of soil attributes by an electromagnetic induction sensor: a framework of multiple fields assessment under Brazilian soils (2022)
Sanches, Guilherme Martinelli; Otto, Rafael; Adamchuk, Viacheslav; Magalhães, Paulo S. G
Source: Biosystems Engineering. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, CONDUTIVIDADE ELÉTRICA, MAPEAMENTO DO SOLO, SENSOR, VARIABILIDADE ESPACIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANCHES, Guilherme Martinelli; OTTO, Rafael; ADAMCHUK, Viacheslav; MAGALHÃES, Paulo S. G. Spatial variability of soil attributes by an electromagnetic induction sensor: a framework of multiple fields assessment under Brazilian soils. Biosystems Engineering, Amsterdam, v. 216, p. 229-240, 2022. Disponível em: < https://doi.org/10.1016/j.biosystemseng.2022.02.017 > DOI: 10.1016/j.biosystemseng.2022.02.017.
APA
Sanches, G. M., Otto, R., Adamchuk, V., & Magalhães, P. S. G. (2022). Spatial variability of soil attributes by an electromagnetic induction sensor: a framework of multiple fields assessment under Brazilian soils. Biosystems Engineering, 216, 229-240. doi:10.1016/j.biosystemseng.2022.02.017
NLM
Sanches GM, Otto R, Adamchuk V, Magalhães PSG. Spatial variability of soil attributes by an electromagnetic induction sensor: a framework of multiple fields assessment under Brazilian soils [Internet]. Biosystems Engineering. 2022 ; 216 229-240.Available from: https://doi.org/10.1016/j.biosystemseng.2022.02.017
Vancouver
Sanches GM, Otto R, Adamchuk V, Magalhães PSG. Spatial variability of soil attributes by an electromagnetic induction sensor: a framework of multiple fields assessment under Brazilian soils [Internet]. Biosystems Engineering. 2022 ; 216 229-240.Available from: https://doi.org/10.1016/j.biosystemseng.2022.02.017
Artigo de periodico
Methodology to filter out outliers in high spatial density data to improve maps reliability (2022)
Maldaner, Leonardo Felipe ; Molin, José Paulo ; Spekken, Mark
Source: Scientia Agricola. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, AMOSTRAGEM, CANA-DE-AÇÚCAR, MAPEAMENTO DO SOLO, MILHO, SENSOR, VARIABILIDADE ESPACIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MALDANER, Leonardo Felipe; MOLIN, José Paulo; SPEKKEN, Mark. Methodology to filter out outliers in high spatial density data to improve maps reliability. Scientia Agricola, Piracicaba, v. 79, n. 1, p. 1-7, 2022. Disponível em: < http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162022000100102&tlng=en > DOI: dx.doi.org/10.1590/1678-992x-2020-0178.
APA
Maldaner, L. F., Molin, J. P., & Spekken, M. (2022). Methodology to filter out outliers in high spatial density data to improve maps reliability. Scientia Agricola, 79( 1), 1-7. doi:dx.doi.org/10.1590/1678-992x-2020-0178
NLM
Maldaner LF, Molin JP, Spekken M. Methodology to filter out outliers in high spatial density data to improve maps reliability [Internet]. Scientia Agricola. 2022 ; 79( 1): 1-7.Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162022000100102&tlng=en
Vancouver
Maldaner LF, Molin JP, Spekken M. Methodology to filter out outliers in high spatial density data to improve maps reliability [Internet]. Scientia Agricola. 2022 ; 79( 1): 1-7.Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162022000100102&tlng=en
Artigo de periodico
Free iron oxide content in tropical soils predicted by integrative digital mapping (2022)
Mendes, Wanderson de Sousa; Minasny, Budiman; ilvero, Nélida E. Q ; Bonfatti, Benito R; Safanelli, José Lucas ; Rizzo, Rodnei ; Costa, Antonio Carlos Saraiva da; Demattê, José Alexandre Melo
Source: Soil & Tillage Research. Unidades: ESALQ, CENA
Subjects: ALGORITMOS, APRENDIZADO COMPUTACIONAL, ESPECTROSCOPIA, FERRO, KRIGAGEM, MAPEAMENTO DO SOLO, SENSORIAMENTO REMOTO, SOLO TROPICAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MENDES, Wanderson de Sousa; MINASNY, Budiman; ILVERO, Nélida E. Q; et al. Free iron oxide content in tropical soils predicted by integrative digital mapping. Soil & Tillage Research, Amsterdam, v. 219, p. 1-12, 2022. Disponível em: < https://doi.org/10.1016/j.still.2022.105346 > DOI: 10.1016/j.still.2022.105346.
APA
Mendes, W. de S., Minasny, B., ilvero, N. E. Q., Bonfatti, B. R., Safanelli, J. L., Rizzo, R., et al. (2022). Free iron oxide content in tropical soils predicted by integrative digital mapping. Soil & Tillage Research, 219, 1-12. doi:10.1016/j.still.2022.105346
NLM
Mendes W de S, Minasny B, ilvero NEQ, Bonfatti BR, Safanelli JL, Rizzo R, Costa ACS da, Demattê JAM. Free iron oxide content in tropical soils predicted by integrative digital mapping [Internet]. Soil & Tillage Research. 2022 ; 219 1-12.Available from: https://doi.org/10.1016/j.still.2022.105346
Vancouver
Mendes W de S, Minasny B, ilvero NEQ, Bonfatti BR, Safanelli JL, Rizzo R, Costa ACS da, Demattê JAM. Free iron oxide content in tropical soils predicted by integrative digital mapping [Internet]. Soil & Tillage Research. 2022 ; 219 1-12.Available from: https://doi.org/10.1016/j.still.2022.105346
Artigo de periodico
Mapping 33 years of sugarcane evolution in São Paulo state, Brazil, using landsat imagery and generalized space-time classifiers (2022)
Luciano, Ana Cláudia dos Santos ; Campagnuci, Bruna Cristina Gama; le Maire, Guerric
Source: Remote Sensing Applications: Society and Environment. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, CANA-DE-AÇÚCAR, IMAGEAMENTO DE SATÉLITE, MAPEAMENTO DO SOLO, SENSORIAMENTO REMOTO, SÉRIES ESPAÇO-TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LUCIANO, Ana Cláudia dos Santos; CAMPAGNUCI, Bruna Cristina Gama; LE MAIRE, Guerric. Mapping 33 years of sugarcane evolution in São Paulo state, Brazil, using landsat imagery and generalized space-time classifiers. Remote Sensing Applications: Society and Environment, Amsterdam, v. 26, p. 1-12, 2022. Disponível em: < https://doi.org/10.1016/j.rsase.2022.100749 > DOI: 10.1016/j.rsase.2022.100749.
APA
Luciano, A. C. dos S., Campagnuci, B. C. G., & le Maire, G. (2022). Mapping 33 years of sugarcane evolution in São Paulo state, Brazil, using landsat imagery and generalized space-time classifiers. Remote Sensing Applications: Society and Environment, 26, 1-12. doi:10.1016/j.rsase.2022.100749
NLM
Luciano AC dos S, Campagnuci BCG, le Maire G. Mapping 33 years of sugarcane evolution in São Paulo state, Brazil, using landsat imagery and generalized space-time classifiers [Internet]. Remote Sensing Applications: Society and Environment. 2022 ; 26 1-12.Available from: https://doi.org/10.1016/j.rsase.2022.100749
Vancouver
Luciano AC dos S, Campagnuci BCG, le Maire G. Mapping 33 years of sugarcane evolution in São Paulo state, Brazil, using landsat imagery and generalized space-time classifiers [Internet]. Remote Sensing Applications: Society and Environment. 2022 ; 26 1-12.Available from: https://doi.org/10.1016/j.rsase.2022.100749
Dissertação (Mestrado)
Soil degradation determined by temporal satellite images and environmental variables in São Paulo State, Brazil (2022)
Nascimento, Claudia Maria ; Dematte, Jose Alexandre Melo (Orientador)
Unidade: ESALQ
Subjects: DEGRADAÇÃO DO SOLO, IMAGEAMENTO DE SATÉLITE, MAPEAMENTO DO SOLO, QUALIDADE DO SOLO, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NASCIMENTO, Claudia Maria; DEMATTE, Jose Alexandre Melo. Soil degradation determined by temporal satellite images and environmental variables in São Paulo State, Brazil. 2022.Universidade de São Paulo, Piracicaba, 2022. Disponível em: < https://www.teses.usp.br/teses/disponiveis/11/11140/tde-11052022-145143/ > DOI: https://doi.org/10.11606/D.11.2022.tde-11052022-145143.
APA
Nascimento, C. M., & Dematte, J. A. M. (2022). Soil degradation determined by temporal satellite images and environmental variables in São Paulo State, Brazil. Universidade de São Paulo, Piracicaba. Recuperado de https://www.teses.usp.br/teses/disponiveis/11/11140/tde-11052022-145143/
NLM
Nascimento CM, Dematte JAM. Soil degradation determined by temporal satellite images and environmental variables in São Paulo State, Brazil [Internet]. 2022 ;Available from: https://www.teses.usp.br/teses/disponiveis/11/11140/tde-11052022-145143/
Vancouver
Nascimento CM, Dematte JAM. Soil degradation determined by temporal satellite images and environmental variables in São Paulo State, Brazil [Internet]. 2022 ;Available from: https://www.teses.usp.br/teses/disponiveis/11/11140/tde-11052022-145143/
Tese (Doutorado)
Sensing technologies for topsoil mapping and soil functional assessment (2022)
Quiñonez Silvero, Nélida Elizabet ; Dematte, Jose Alexandre Melo (Orientador)
Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, ESPECTROSCOPIA, IMAGEAMENTO DE SATÉLITE, MAPEAMENTO DO SOLO, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
QUIÑONEZ SILVERO, Nélida Elizabet; DEMATTE, Jose Alexandre Melo. Sensing technologies for topsoil mapping and soil functional assessment. 2022.Universidade de São Paulo, Piracicaba, 2022. Disponível em: < https://www.teses.usp.br/teses/disponiveis/11/11140/tde-08042022-163716/ > DOI: https://doi.org/10.11606/T.11.2022.tde-08042022-163716.
APA
Quiñonez Silvero, N. E., & Dematte, J. A. M. (2022). Sensing technologies for topsoil mapping and soil functional assessment. Universidade de São Paulo, Piracicaba. Recuperado de https://www.teses.usp.br/teses/disponiveis/11/11140/tde-08042022-163716/
NLM
Quiñonez Silvero NE, Dematte JAM. Sensing technologies for topsoil mapping and soil functional assessment [Internet]. 2022 ;Available from: https://www.teses.usp.br/teses/disponiveis/11/11140/tde-08042022-163716/
Vancouver
Quiñonez Silvero NE, Dematte JAM. Sensing technologies for topsoil mapping and soil functional assessment [Internet]. 2022 ;Available from: https://www.teses.usp.br/teses/disponiveis/11/11140/tde-08042022-163716/
Artigo de periodico
Obtaining high-resolution synthetic soil imagery for topsoil mapping (2022)
Ruiz, Luis Fernando Chimelo ; Dematte, José Alexandre Melo ; Safanelli, José Lucas ; Rizzo, Rodnei ; Silvero, Nelida E. Q. ; Rosin, Nícolas Augusto ; Campos, Lucas Rabelo
Source: Remote Sensing Letters. Unidade: ESALQ
Subjects: MAPEAMENTO DO SOLO, IMAGEAMENTO DE SATÉLITE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RUIZ, Luis Fernando Chimelo; DEMATTE, José Alexandre Melo; SAFANELLI, José Lucas; et al. Obtaining high-resolution synthetic soil imagery for topsoil mapping. Remote Sensing Letters, Abingdon, v. 13, n. 2, p. 107-114, 2022. Disponível em: < https://doi.org/10.1080/2150704X.2021.1999524 > DOI: 10.1080/2150704X.2021.1999524.
APA
Ruiz, L. F. C., Dematte, J. A. M., Safanelli, J. L., Rizzo, R., Silvero, N. E. Q., Rosin, N. A., & Campos, L. R. (2022). Obtaining high-resolution synthetic soil imagery for topsoil mapping. Remote Sensing Letters, 13( 2), 107-114. doi:10.1080/2150704X.2021.1999524
NLM
Ruiz LFC, Dematte JAM, Safanelli JL, Rizzo R, Silvero NEQ, Rosin NA, Campos LR. Obtaining high-resolution synthetic soil imagery for topsoil mapping [Internet]. Remote Sensing Letters. 2022 ; 13( 2): 107-114.Available from: https://doi.org/10.1080/2150704X.2021.1999524
Vancouver
Ruiz LFC, Dematte JAM, Safanelli JL, Rizzo R, Silvero NEQ, Rosin NA, Campos LR. Obtaining high-resolution synthetic soil imagery for topsoil mapping [Internet]. Remote Sensing Letters. 2022 ; 13( 2): 107-114.Available from: https://doi.org/10.1080/2150704X.2021.1999524
Artigo de periodico
Clay content prediction using spectra data collected from the ground to space platforms in a smallholder tropical area (2021)
Bellinaso, Henrique; Silvero, Nélida Elizabet Quinonez ; Ruiz, Luis Fernando Chimelo ; Amorim, Merilyn Taynara Accorsi; Rosin, Nícolas Augusto ; Mendes, Wanderson de Sousa ; Sousa, Gabriel Pimenta Barbosa de; Sepulveda, Leno Márcio Araujo ; Queiroz, Louise Gunter de ; Nanni, Marcos Rafael; Demattê, José Alexandre Melo
Source: Geoderma. Unidade: ESALQ
Subjects: ANÁLISE ESPECTRAL, ARGILAS, ESPECTROSCOPIA INFRAVERMELHA, MAPEAMENTO DO SOLO, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BELLINASO, Henrique; SILVERO, Nélida Elizabet Quinonez; RUIZ, Luis Fernando Chimelo; et al. Clay content prediction using spectra data collected from the ground to space platforms in a smallholder tropical area. Geoderma, Amsterdam, v. 399, p. 1-18, 2021. Disponível em: < https://doi.org/10.1016/j.geoderma.2021.115116 > DOI: 10.1016/j.geoderma.2021.115116.
APA
Bellinaso, H., Silvero, N. E. Q., Ruiz, L. F. C., Amorim, M. T. A., Rosin, N. A., Mendes, W. de S., et al. (2021). Clay content prediction using spectra data collected from the ground to space platforms in a smallholder tropical area. Geoderma, 399, 1-18. doi:10.1016/j.geoderma.2021.115116
NLM
Bellinaso H, Silvero NEQ, Ruiz LFC, Amorim MTA, Rosin NA, Mendes W de S, Sousa GPB de, Sepulveda LMA, Queiroz LG de, Nanni MR, Demattê JAM. Clay content prediction using spectra data collected from the ground to space platforms in a smallholder tropical area [Internet]. Geoderma. 2021 ; 399 1-18.Available from: https://doi.org/10.1016/j.geoderma.2021.115116
Vancouver
Bellinaso H, Silvero NEQ, Ruiz LFC, Amorim MTA, Rosin NA, Mendes W de S, Sousa GPB de, Sepulveda LMA, Queiroz LG de, Nanni MR, Demattê JAM. Clay content prediction using spectra data collected from the ground to space platforms in a smallholder tropical area [Internet]. Geoderma. 2021 ; 399 1-18.Available from: https://doi.org/10.1016/j.geoderma.2021.115116
Artigo de periodico
Mapping particle size and soil organic matter in tropical soil based on hyperspectral imaging and non-imaging sensors (2021)
Nanni, Marcos Rafael; Demattê, José Alexandre Melo ; Rodrigues, Marlon; Santos, Glaucio Leboso Alemparte Abrantes dos; Reis, Amanda Silveira; Oliveira, Karym Mayara de; Cezar, Everson; Furlanetto, Renato Herrig; Crusiol, Luís Guilherme Teixeira; Sun, Liang
Source: Remote Sensing. Unidade: ESALQ
Subjects: GRANULOMETRIA DO SOLO, IMAGEM (CARTOGRAFIA), MAPEAMENTO DO SOLO, MATÉRIA ORGÂNICA DO SOLO, SENSORES DE AERONAVES, SOLO TROPICAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NANNI, Marcos Rafael; DEMATTÊ, José Alexandre Melo; RODRIGUES, Marlon; et al. Mapping particle size and soil organic matter in tropical soil based on hyperspectral imaging and non-imaging sensors. Remote Sensing, Basel, v. 13, n. 9, p. 1-19, 2021. Disponível em: < https://doi.org/10.3390/rs13091782 > DOI: 10.3390/rs13091782.
APA
Nanni, M. R., Demattê, J. A. M., Rodrigues, M., Santos, G. L. A. A. dos, Reis, A. S., Oliveira, K. M. de, et al. (2021). Mapping particle size and soil organic matter in tropical soil based on hyperspectral imaging and non-imaging sensors. Remote Sensing, 13( 9), 1-19. doi:10.3390/rs13091782
NLM
Nanni MR, Demattê JAM, Rodrigues M, Santos GLAA dos, Reis AS, Oliveira KM de, Cezar E, Furlanetto RH, Crusiol LGT, Sun L. Mapping particle size and soil organic matter in tropical soil based on hyperspectral imaging and non-imaging sensors [Internet]. Remote Sensing. 2021 ; 13( 9): 1-19.Available from: https://doi.org/10.3390/rs13091782
Vancouver
Nanni MR, Demattê JAM, Rodrigues M, Santos GLAA dos, Reis AS, Oliveira KM de, Cezar E, Furlanetto RH, Crusiol LGT, Sun L. Mapping particle size and soil organic matter in tropical soil based on hyperspectral imaging and non-imaging sensors [Internet]. Remote Sensing. 2021 ; 13( 9): 1-19.Available from: https://doi.org/10.3390/rs13091782
Artigo de periodico
Novel tools for adjusting spatial variability in the early sugarcane breeding stage (2021)
Cursi, Danilo Eduardo ; Amaral, Lucas Rios do; Dourado Neto, Durval ; Gazaffi, Rodrigo; Hoffmann, Hermann Paulo; Brasco, Thiago Luis
Source: Frontiers in Plant Science. Unidade: ESALQ
Subjects: AMOSTRAGEM, CANA-DE-AÇÚCAR, COMPONENTES PRINCIPAIS, CONDUTIVIDADE ELÉTRICA, MAPEAMENTO DO SOLO, MELHORAMENTO GENÉTICO VEGETAL, VARIABILIDADE ESPACIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CURSI, Danilo Eduardo; AMARAL, Lucas Rios do; DOURADO NETO, Durval; et al. Novel tools for adjusting spatial variability in the early sugarcane breeding stage. Frontiers in Plant Science, Lausanne, v. 12, p. 1-11, 2021. Disponível em: < https://doi.org/10.3389/fpls.2021.749533 > DOI: 10.3389/fpls.2021.749533.
APA
Cursi, D. E., Amaral, L. R. do, Dourado Neto, D., Gazaffi, R., Hoffmann, H. P., & Brasco, T. L. (2021). Novel tools for adjusting spatial variability in the early sugarcane breeding stage. Frontiers in Plant Science, 12, 1-11. doi:10.3389/fpls.2021.749533
NLM
Cursi DE, Amaral LR do, Dourado Neto D, Gazaffi R, Hoffmann HP, Brasco TL. Novel tools for adjusting spatial variability in the early sugarcane breeding stage [Internet]. Frontiers in Plant Science. 2021 ; 12 1-11.Available from: https://doi.org/10.3389/fpls.2021.749533
Vancouver
Cursi DE, Amaral LR do, Dourado Neto D, Gazaffi R, Hoffmann HP, Brasco TL. Novel tools for adjusting spatial variability in the early sugarcane breeding stage [Internet]. Frontiers in Plant Science. 2021 ; 12 1-11.Available from: https://doi.org/10.3389/fpls.2021.749533
Artigo de periodico
Fine-scale soil mapping with Earth Observation data: a multiple geographic level comparison (2021)
Safanelli, José Lucas ; Demattê, José Alexandre Melo ; Santos, Natasha Valadares dos ; Rosas, Jorge Tadeu Fim ; Silvero, Nélida Elizabet Quiñonez ; Bonfatti, Benito Roberto; Mendes, Wanderson de Sousa
Source: Revista Brasileira de Ciência do Solo. Unidade: ESALQ
Subjects: CARTOGRAFIA, IMAGEAMENTO DE SATÉLITE, MAPEAMENTO DO SOLO, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SAFANELLI, José Lucas; DEMATTÊ, José Alexandre Melo; SANTOS, Natasha Valadares dos; et al. Fine-scale soil mapping with Earth Observation data: a multiple geographic level comparison. Revista Brasileira de Ciência do Solo, Viçosa, v. 45, p. 1-20, 2021. Disponível em: < https://doi.org/10.36783/18069657rbcs20210080 > DOI: 10.36783/18069657rbcs20210080.
APA
Safanelli, J. L., Demattê, J. A. M., Santos, N. V. dos, Rosas, J. T. F., Silvero, N. E. Q., Bonfatti, B. R., & Mendes, W. de S. (2021). Fine-scale soil mapping with Earth Observation data: a multiple geographic level comparison. Revista Brasileira de Ciência do Solo, 45, 1-20. doi:10.36783/18069657rbcs20210080
NLM
Safanelli JL, Demattê JAM, Santos NV dos, Rosas JTF, Silvero NEQ, Bonfatti BR, Mendes W de S. Fine-scale soil mapping with Earth Observation data: a multiple geographic level comparison [Internet]. Revista Brasileira de Ciência do Solo. 2021 ; 45 1-20.Available from: https://doi.org/10.36783/18069657rbcs20210080
Vancouver
Safanelli JL, Demattê JAM, Santos NV dos, Rosas JTF, Silvero NEQ, Bonfatti BR, Mendes W de S. Fine-scale soil mapping with Earth Observation data: a multiple geographic level comparison [Internet]. Revista Brasileira de Ciência do Solo. 2021 ; 45 1-20.Available from: https://doi.org/10.36783/18069657rbcs20210080
Artigo de periodico
Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning (2021)
Naimi, Salman; Ayoubi, Shamsollah; Demattê, José Alexandre Melo ; Zeraatpisheh, Mojtaba; Amorim, Merilyn Taynara Accorsi ; Mello, Fellipe Alcântara de Oliveira
Source: Geocarto International. Unidade: ESALQ
Subjects: SOLOS, VARIABILIDADE ESPACIAL, MAPEAMENTO DO SOLO, PRODUÇÃO AGRÍCOLA, AGRICULTURA SUSTENTÁVEL, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAIMI, Salman; AYOUBI, Shamsollah; DEMATTÊ, José Alexandre Melo; et al. Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning. Geocarto International, Abingdon, 2021. Disponível em: < https://doi.org/10.1080/10106049.2021.1996639 > DOI: 10.1080/10106049.2021.1996639.
APA
Naimi, S., Ayoubi, S., Demattê, J. A. M., Zeraatpisheh, M., Amorim, M. T. A., & Mello, F. A. de O. (2021). Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning. Geocarto International. doi:10.1080/10106049.2021.1996639
NLM
Naimi S, Ayoubi S, Demattê JAM, Zeraatpisheh M, Amorim MTA, Mello FA de O. Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning [Internet]. Geocarto International. 2021 ;Available from: https://doi.org/10.1080/10106049.2021.1996639
Vancouver
Naimi S, Ayoubi S, Demattê JAM, Zeraatpisheh M, Amorim MTA, Mello FA de O. Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning [Internet]. Geocarto International. 2021 ;Available from: https://doi.org/10.1080/10106049.2021.1996639
Artigo de periodico
Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison (2021)
Silvero, Nélida Elizabet Quiñonez ; Demattê, José Alexandre Melo ; Amorim, Merilyn Taynara Accorsi; Santos, Natasha Valadares dos ; Rizzo, Rodnei ; Safanelli, José Lucas ; Poppiel, Raul Roberto ; Mendes, Wanderson de Sousa ; Bonfatti, Benito Roberto
Source: Remote Sensing of Environment. Unidade: ESALQ
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZADO COMPUTACIONAL, IMAGEAMENTO DE SATÉLITE, MAPEAMENTO DO SOLO, SENSORIAMENTO REMOTO, VARIABILIDADE ESPACIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVERO, Nélida Elizabet Quiñonez; DEMATTÊ, José Alexandre Melo; AMORIM, Merilyn Taynara Accorsi; et al. Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison. Remote Sensing of Environment, Amsterdam, v. 252, n. art. 112117, p. 1-19, 2021. Disponível em: < https://www.sciencedirect.com/science/article/pii/S0034425720304909?via%3Dihub#! > DOI: doi.org/10.1016/j.rse.2020.112117.
APA
Silvero, N. E. Q., Demattê, J. A. M., Amorim, M. T. A., Santos, N. V. dos, Rizzo, R., Safanelli, J. L., et al. (2021). Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison. Remote Sensing of Environment, 252( art. 112117), 1-19. doi:doi.org/10.1016/j.rse.2020.112117
NLM
Silvero NEQ, Demattê JAM, Amorim MTA, Santos NV dos, Rizzo R, Safanelli JL, Poppiel RR, Mendes W de S, Bonfatti BR. Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison [Internet]. Remote Sensing of Environment. 2021 ; 252( art. 112117): 1-19.Available from: https://www.sciencedirect.com/science/article/pii/S0034425720304909?via%3Dihub#!
Vancouver
Silvero NEQ, Demattê JAM, Amorim MTA, Santos NV dos, Rizzo R, Safanelli JL, Poppiel RR, Mendes W de S, Bonfatti BR. Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison [Internet]. Remote Sensing of Environment. 2021 ; 252( art. 112117): 1-19.Available from: https://www.sciencedirect.com/science/article/pii/S0034425720304909?via%3Dihub#!
Artigo de periodico
Soil degradation index developed by multitemporal remote sensing images, climate variables, terrain and soil atributes (2021)
Nascimento, Claudia Maria ; Mendes, Wanderson de Sousa ; Silvero, Nélida Elizabet Quiñonez ; Poppiel, Raul Roberto ; Sayão, Veridiana Maria; Dotto, André Carnieletto; Santos, Natasha Valadares dos ; Amorim, Merilyn Taynara Accorsi; Demattê, José Alexandre Melo
Source: Journal of Environmental Management. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, DEGRADAÇÃO DO SOLO, IMAGEAMENTO DE SATÉLITE, MAPEAMENTO DO SOLO, MUDANÇA CLIMÁTICA, SENSORIAMENTO REMOTO, SOLOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NASCIMENTO, Claudia Maria; MENDES, Wanderson de Sousa; SILVERO, Nélida Elizabet Quiñonez; et al. Soil degradation index developed by multitemporal remote sensing images, climate variables, terrain and soil atributes. Journal of Environmental Management, Amsterdam, v. 277, p. 1-9, 2021. Disponível em: < https://www.sciencedirect.com/science/article/pii/S0301479720312391?via%3Dihub#! > DOI: doi.org/10.1016/j.jenvman.2020.111316.
APA
Nascimento, C. M., Mendes, W. de S., Silvero, N. E. Q., Poppiel, R. R., Sayão, V. M., Dotto, A. C., et al. (2021). Soil degradation index developed by multitemporal remote sensing images, climate variables, terrain and soil atributes. Journal of Environmental Management, 277, 1-9. doi:doi.org/10.1016/j.jenvman.2020.111316
NLM
Nascimento CM, Mendes W de S, Silvero NEQ, Poppiel RR, Sayão VM, Dotto AC, Santos NV dos, Amorim MTA, Demattê JAM. Soil degradation index developed by multitemporal remote sensing images, climate variables, terrain and soil atributes [Internet]. Journal of Environmental Management. 2021 ; 277 1-9.Available from: https://www.sciencedirect.com/science/article/pii/S0301479720312391?via%3Dihub#!
Vancouver
Nascimento CM, Mendes W de S, Silvero NEQ, Poppiel RR, Sayão VM, Dotto AC, Santos NV dos, Amorim MTA, Demattê JAM. Soil degradation index developed by multitemporal remote sensing images, climate variables, terrain and soil atributes [Internet]. Journal of Environmental Management. 2021 ; 277 1-9.Available from: https://www.sciencedirect.com/science/article/pii/S0301479720312391?via%3Dihub#!
Artigo de periodico
Soil property maps with satellite images at multiple scales and its impact on management and classification (2021)
Silvero, Nélida E. Q ; Demattê, José Alexandre Melo ; Vieira, Julia de Souza; Mello, Fellipe Alcântara de Oliveira; Amorim, Merilyn Taynara Accorsi ; Poppiel, Raul Roberto ; Mendes, Wanderson de Sousa ; Bonfatti, Benito Roberto
Source: Geoderma. Unidade: ESALQ
Subjects: CLASSIFICAÇÃO DO SOLO, IMAGEAMENTO DE SATÉLITE, MANEJO DO SOLO, MAPEAMENTO DO SOLO, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVERO, Nélida E. Q; DEMATTÊ, José Alexandre Melo; VIEIRA, Julia de Souza; et al. Soil property maps with satellite images at multiple scales and its impact on management and classification. Geoderma, Amsterdam, v. 397, p. 1-17, 2021. Disponível em: < https://doi.org/10.1016/j.geoderma.2021.115089 > DOI: 10.1016/j.geoderma.2021.115089.
APA
Silvero, N. E. Q., Demattê, J. A. M., Vieira, J. de S., Mello, F. A. de O., Amorim, M. T. A., Poppiel, R. R., et al. (2021). Soil property maps with satellite images at multiple scales and its impact on management and classification. Geoderma, 397, 1-17. doi:10.1016/j.geoderma.2021.115089
NLM
Silvero NEQ, Demattê JAM, Vieira J de S, Mello FA de O, Amorim MTA, Poppiel RR, Mendes W de S, Bonfatti BR. Soil property maps with satellite images at multiple scales and its impact on management and classification [Internet]. Geoderma. 2021 ; 397 1-17.Available from: https://doi.org/10.1016/j.geoderma.2021.115089
Vancouver
Silvero NEQ, Demattê JAM, Vieira J de S, Mello FA de O, Amorim MTA, Poppiel RR, Mendes W de S, Bonfatti BR. Soil property maps with satellite images at multiple scales and its impact on management and classification [Internet]. Geoderma. 2021 ; 397 1-17.Available from: https://doi.org/10.1016/j.geoderma.2021.115089
Artigo de periodico
Soil parent material prediction through satellite multispectral analysis on a regional scale at the Western Paulista Plateau, Brazil (2021)
Mello, Fellipe Alcantara de Oliveira; Amorim, Merilyn Taynara Accorsi; Gomez, Andrés Mauricio Rico; Poppiel, Raul Roberto ; Silvero, NélidaElizabet Quiñonez ; Gholizadeh, Asa; Silva, Sérgio H. G; Curi, Nilton; Demattê, José Alexandre Melo ; Mendes, Wanderson de Sousa ; Bellinaso, Henrique ; Mello, Danilo César; Safanelli, José Lucas
Source: Geoderma Regional. Unidade: ESALQ
Subjects: ANÁLISE ESPECTRAL, IMAGEAMENTO DE SATÉLITE, MAPEAMENTO DO SOLO, SENSORIAMENTO REMOTO, SOLOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MELLO, Fellipe Alcantara de Oliveira; AMORIM, Merilyn Taynara Accorsi; GOMEZ, Andrés Mauricio Rico; et al. Soil parent material prediction through satellite multispectral analysis on a regional scale at the Western Paulista Plateau, Brazil. Geoderma Regional, Amsterdam, v. 26, 2021. Disponível em: < https://www.sciencedirect.com/science/article/pii/S2352009421000572?via%3Dihub#! > DOI: doi.org/10.1016/j.geodrs.2021.e00412.
APA
Mello, F. A. de O., Amorim, M. T. A., Gomez, A. M. R., Poppiel, R. R., Silvero, N. E. Q., Gholizadeh, A., et al. (2021). Soil parent material prediction through satellite multispectral analysis on a regional scale at the Western Paulista Plateau, Brazil. Geoderma Regional, 26. doi:doi.org/10.1016/j.geodrs.2021.e00412
NLM
Mello FA de O, Amorim MTA, Gomez AMR, Poppiel RR, Silvero NEQ, Gholizadeh A, Silva SHG, Curi N, Demattê JAM, Mendes W de S, Bellinaso H, Mello DC, Safanelli JL. Soil parent material prediction through satellite multispectral analysis on a regional scale at the Western Paulista Plateau, Brazil [Internet]. Geoderma Regional. 2021 ; 26Available from: https://www.sciencedirect.com/science/article/pii/S2352009421000572?via%3Dihub#!
Vancouver
Mello FA de O, Amorim MTA, Gomez AMR, Poppiel RR, Silvero NEQ, Gholizadeh A, Silva SHG, Curi N, Demattê JAM, Mendes W de S, Bellinaso H, Mello DC, Safanelli JL. Soil parent material prediction through satellite multispectral analysis on a regional scale at the Western Paulista Plateau, Brazil [Internet]. Geoderma Regional. 2021 ; 26Available from: https://www.sciencedirect.com/science/article/pii/S2352009421000572?via%3Dihub#!
Artigo de periodico
Evaluating the synergy of three soil spectrometers for improving the prediction and mapping of soil properties in a high anthropic management area: A case of study from Southeast Brazil (2021)
Fontenelli, Julyane V; Adamchuk, Viacheslav I; Ferreira, Marcia M. C; Amaral, Lucas R; Guimarães, Clécia Cristina Barbosa ; Demattê, Jose Alexandre Melo ; Magalhães, Paulo S. G
Source: Geoderma. Unidade: ESALQ
Subjects: CANA-DE-AÇÚCAR, ESPECTROSCOPIA INFRAVERMELHA, FLUORESCÊNCIA, RAIOS X, MAPEAMENTO DO SOLO, QUÍMICA DO SOLO, SENSOR, VARIABILIDADE ESPACIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FONTENELLI, Julyane V; ADAMCHUK, Viacheslav I; FERREIRA, Marcia M. C; et al. Evaluating the synergy of three soil spectrometers for improving the prediction and mapping of soil properties in a high anthropic management area: A case of study from Southeast Brazil. Geoderma, Amsterdam, v. 402, p. 1-10, 2021. Disponível em: < https://doi.org//10.1016/j.geoderma.2021.115347 > DOI: /10.1016/j.geoderma.2021.115347.
APA
Fontenelli, J. V., Adamchuk, V. I., Ferreira, M. M. C., Amaral, L. R., Guimarães, C. C. B., Demattê, J. A. M., & Magalhães, P. S. G. (2021). Evaluating the synergy of three soil spectrometers for improving the prediction and mapping of soil properties in a high anthropic management area: A case of study from Southeast Brazil. Geoderma, 402, 1-10. doi:/10.1016/j.geoderma.2021.115347
NLM
Fontenelli JV, Adamchuk VI, Ferreira MMC, Amaral LR, Guimarães CCB, Demattê JAM, Magalhães PSG. Evaluating the synergy of three soil spectrometers for improving the prediction and mapping of soil properties in a high anthropic management area: A case of study from Southeast Brazil [Internet]. Geoderma. 2021 ; 402 1-10.Available from: https://doi.org//10.1016/j.geoderma.2021.115347
Vancouver
Fontenelli JV, Adamchuk VI, Ferreira MMC, Amaral LR, Guimarães CCB, Demattê JAM, Magalhães PSG. Evaluating the synergy of three soil spectrometers for improving the prediction and mapping of soil properties in a high anthropic management area: A case of study from Southeast Brazil [Internet]. Geoderma. 2021 ; 402 1-10.Available from: https://doi.org//10.1016/j.geoderma.2021.115347

ReP

Filters

Vocabulário Controlado do SIBiUSP

USP Schools

ReP

Filters

Document types

USP Schools

Departament

Authors

USP affiliated authors

Date published

Subjects

Source title

Publisher

Conference title

Countries/Territories

Funding Agencies

Indexado em

Normalized affiliation

Non normalized affiliation

Countries of institutions of collaboration

Área de concentração

Sigla do Departamento/Programa de Pós Graduação

Departamento/Programa de Pós Graduação

Keywords

Vocabulário Controlado do SIBiUSP