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Artigo de periodico
Detection of white sand patches in central Amazonia using remote sensing and meteorological data (2025)
Espinoza, Nikolai S ; Piedade, Maria Teresa Fernandez ; Demarchi, Layon Oreste ; Lima, Gisiane R; Resende, Angélica Faria ; Ferreira, Rosaria R ; Silva, Francisco Alcinei G; Machado, Luiz Augusto Toledo ; Schörgart, Jochen
Fonte: International Journal of Remote Sensing. Unidades: IF, ESALQ
Assuntos: DOSSEL (BOTÂNICA), ECOSSISTEMAS, FLORESTAS TROPICAIS, SENSORIAMENTO REMOTO, SOLO ARENOSO, TEMPERATURA
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ABNT
ESPINOZA, Nikolai S et al. Detection of white sand patches in central Amazonia using remote sensing and meteorological data. International Journal of Remote Sensing, v. 46, n. 9, p. 3446–3465, 2025Tradução . . Disponível em: https://doi.org/10.1080/01431161.2025.2476776. Acesso em: 04 dez. 2025.
APA
Espinoza, N. S., Piedade, M. T. F., Demarchi, L. O., Lima, G. R., Resende, A. F., Ferreira, R. R., et al. (2025). Detection of white sand patches in central Amazonia using remote sensing and meteorological data. International Journal of Remote Sensing, 46( 9), 3446–3465. doi:10.1080/01431161.2025.2476776
NLM
Espinoza NS, Piedade MTF, Demarchi LO, Lima GR, Resende AF, Ferreira RR, Silva FAG, Machado LAT, Schörgart J. Detection of white sand patches in central Amazonia using remote sensing and meteorological data [Internet]. International Journal of Remote Sensing. 2025 ; 46( 9): 3446–3465.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2025.2476776
Vancouver
Espinoza NS, Piedade MTF, Demarchi LO, Lima GR, Resende AF, Ferreira RR, Silva FAG, Machado LAT, Schörgart J. Detection of white sand patches in central Amazonia using remote sensing and meteorological data [Internet]. International Journal of Remote Sensing. 2025 ; 46( 9): 3446–3465.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2025.2476776
Artigo de periodico
Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework (2023)
Garcia, Guilherme Pereira Bento ; Soares, Lucas ; Espadoto, Mateus ; Grohmann, Carlos Henrique
Fonte: International Journal of Remote Sensing. Unidades: IEE, IGC, IME
Assuntos: DESLIZAMENTO DE TERRA, SENSORIAMENTO REMOTO
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ABNT
GARCIA, Guilherme Pereira Bento et al. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework. International Journal of Remote Sensing, n. , p. 2168-2195, 2023Tradução . . Disponível em: https://doi.org/10.1080/01431161.2023.2197130. Acesso em: 04 dez. 2025.
APA
Garcia, G. P. B., Soares, L., Espadoto, M., & Grohmann, C. H. (2023). Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework. International Journal of Remote Sensing, ( ), 2168-2195. doi:10.1080/01431161.2023.2197130
NLM
Garcia GPB, Soares L, Espadoto M, Grohmann CH. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework [Internet]. International Journal of Remote Sensing. 2023 ;( ): 2168-2195.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2023.2197130
Vancouver
Garcia GPB, Soares L, Espadoto M, Grohmann CH. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework [Internet]. International Journal of Remote Sensing. 2023 ;( ): 2168-2195.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2023.2197130
Artigo de periodico
Readily dispersible clay in soils from different Brazilian regions by visible, near, and mid-infrared spectral data (2021)
Silva, Isabela Mello ; Romero, Danilo Jefferson ; Guimaraes, Clecia Cristina Barbosa ; Alves, Marcelo Rodrigo; Osco, Lucas Prado; Souza, Arnaldo Barros e; Silva, Alvaro Pires da; Dematte, Jose Alexandre Melo
Fonte: International Journal of Remote Sensing. Unidade: ESALQ
Assuntos: ANÁLISE DO SOLO, ARGILAS, ESPECTROSCOPIA INFRAVERMELHA, MINERALOGIA DO SOLO
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ABNT
SILVA, Isabela Mello et al. Readily dispersible clay in soils from different Brazilian regions by visible, near, and mid-infrared spectral data. International Journal of Remote Sensing, v. 42, n. 18, p. 6945-6962, 2021Tradução . . Disponível em: https://doi.org/10.1080/01431161.2021.1948625. Acesso em: 04 dez. 2025.
APA
Silva, I. M., Romero, D. J., Guimaraes, C. C. B., Alves, M. R., Osco, L. P., Souza, A. B. e, et al. (2021). Readily dispersible clay in soils from different Brazilian regions by visible, near, and mid-infrared spectral data. International Journal of Remote Sensing, 42( 18), 6945-6962. doi:10.1080/01431161.2021.1948625
NLM
Silva IM, Romero DJ, Guimaraes CCB, Alves MR, Osco LP, Souza AB e, Silva AP da, Dematte JAM. Readily dispersible clay in soils from different Brazilian regions by visible, near, and mid-infrared spectral data [Internet]. International Journal of Remote Sensing. 2021 ; 42( 18): 6945-6962.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2021.1948625
Vancouver
Silva IM, Romero DJ, Guimaraes CCB, Alves MR, Osco LP, Souza AB e, Silva AP da, Dematte JAM. Readily dispersible clay in soils from different Brazilian regions by visible, near, and mid-infrared spectral data [Internet]. International Journal of Remote Sensing. 2021 ; 42( 18): 6945-6962.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2021.1948625
Artigo de periodico
Incorporating environmental variables, remote and proximal sensing data for digital soil mapping of USDA soil great groups (2020)
Asgari, Najmeh ; Ayoubi, Shamsollah ; Jafari, Azam; Demattê, José Alexandre Melo
Fonte: International Journal of Remote Sensing. Unidade: ESALQ
Assuntos: APRENDIZADO COMPUTACIONAL, CLASSIFICAÇÃO DO SOLO, ESPECTROSCOPIA, GEOESTATÍSTICA, MAPEAMENTO DO SOLO, MODELOS MATEMÁTICOS, REGRESSÃO LOGÍSTICA, SENSORIAMENTO REMOTO
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ABNT
ASGARI, Najmeh et al. Incorporating environmental variables, remote and proximal sensing data for digital soil mapping of USDA soil great groups. International Journal of Remote Sensing, v. 41, n. 19, p. 7624-7648, 2020Tradução . . Disponível em: http://www.tandfonline.com/doi/full/10.1080/01431161.2020.1763506. Acesso em: 04 dez. 2025.
APA
Asgari, N., Ayoubi, S., Jafari, A., & Demattê, J. A. M. (2020). Incorporating environmental variables, remote and proximal sensing data for digital soil mapping of USDA soil great groups. International Journal of Remote Sensing, 41( 19), 7624-7648. doi:10.1080/01431161.2020.1763506
NLM
Asgari N, Ayoubi S, Jafari A, Demattê JAM. Incorporating environmental variables, remote and proximal sensing data for digital soil mapping of USDA soil great groups [Internet]. International Journal of Remote Sensing. 2020 ; 41( 19): 7624-7648.[citado 2025 dez. 04 ] Available from: http://www.tandfonline.com/doi/full/10.1080/01431161.2020.1763506
Vancouver
Asgari N, Ayoubi S, Jafari A, Demattê JAM. Incorporating environmental variables, remote and proximal sensing data for digital soil mapping of USDA soil great groups [Internet]. International Journal of Remote Sensing. 2020 ; 41( 19): 7624-7648.[citado 2025 dez. 04 ] Available from: http://www.tandfonline.com/doi/full/10.1080/01431161.2020.1763506
Artigo de periodico
Improving the monitoring of sugarcane residues in a tropical environment based on laboratory and Sentinel-2 data (2020)
Santos, Natasha Valadares dos ; Demattê, Jose Alexandre Melo ; Silvero, Nélida Elizabet Quiñonez
Fonte: International Journal of Remote Sensing. Unidade: ESALQ
Assuntos: ANÁLISE ESPECTRAL, CANA-DE-AÇÚCAR, IMAGEAMENTO DE SATÉLITE, RESÍDUOS AGRÍCOLAS, SENSORIAMENTO REMOTO
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ABNT
SANTOS, Natasha Valadares dos e DEMATTÊ, Jose Alexandre Melo e SILVERO, Nélida Elizabet Quiñonez. Improving the monitoring of sugarcane residues in a tropical environment based on laboratory and Sentinel-2 data. International Journal of Remote Sensing, v. 42, n. 5, p. 1768–1784, 2020Tradução . . Disponível em: https://doi.org/10.1080/01431161.2020.1842542. Acesso em: 04 dez. 2025.
APA
Santos, N. V. dos, Demattê, J. A. M., & Silvero, N. E. Q. (2020). Improving the monitoring of sugarcane residues in a tropical environment based on laboratory and Sentinel-2 data. International Journal of Remote Sensing, 42( 5), 1768–1784. doi:10.1080/01431161.2020.1842542
NLM
Santos NV dos, Demattê JAM, Silvero NEQ. Improving the monitoring of sugarcane residues in a tropical environment based on laboratory and Sentinel-2 data [Internet]. International Journal of Remote Sensing. 2020 ; 42( 5): 1768–1784.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2020.1842542
Vancouver
Santos NV dos, Demattê JAM, Silvero NEQ. Improving the monitoring of sugarcane residues in a tropical environment based on laboratory and Sentinel-2 data [Internet]. International Journal of Remote Sensing. 2020 ; 42( 5): 1768–1784.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2020.1842542
Artigo de periodico
Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations (2018)
Guerra-Hernández, Juan; Cosenza, Diogo N; Rodriguez, Luiz Carlos Estraviz; Silva, Margarida; Tomé, Margarida; Díaz-Varela, Ramón A; González-Ferreiro, Eduardo
Fonte: International Journal of Remote Sensing. Unidade: ESALQ
Assuntos: EUCALIPTO, INVENTÁRIO FLORESTAL, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
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ABNT
GUERRA-HERNÁNDEZ, Juan et al. Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations. International Journal of Remote Sensing, v. 39, n. 15-16, p. 5211-5235, 2018Tradução . . Disponível em: https://doi.org/10.1080/01431161.2018.1486519. Acesso em: 04 dez. 2025.
APA
Guerra-Hernández, J., Cosenza, D. N., Rodriguez, L. C. E., Silva, M., Tomé, M., Díaz-Varela, R. A., & González-Ferreiro, E. (2018). Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations. International Journal of Remote Sensing, 39( 15-16), 5211-5235. doi:10.1080/01431161.2018.1486519
NLM
Guerra-Hernández J, Cosenza DN, Rodriguez LCE, Silva M, Tomé M, Díaz-Varela RA, González-Ferreiro E. Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations [Internet]. International Journal of Remote Sensing. 2018 ; 39( 15-16): 5211-5235.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2018.1486519
Vancouver
Guerra-Hernández J, Cosenza DN, Rodriguez LCE, Silva M, Tomé M, Díaz-Varela RA, González-Ferreiro E. Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations [Internet]. International Journal of Remote Sensing. 2018 ; 39( 15-16): 5211-5235.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2018.1486519
Artigo de periodico
A two-level Markov random field for road network extraction and its application with optical, SAR, and multitemporal data (2016)
Perciano, Talita; Hirata Júnior, Roberto ; César Júnior, Roberto Marcondes
Fonte: International Journal of Remote Sensing. Unidade: IME
Assuntos: PROCESSAMENTO DE IMAGENS, CAMPOS ALEATÓRIOS MARKOVIANOS, IMAGEAMENTO DE SATÉLITE
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ABNT
PERCIANO, Talita e HIRATA JÚNIOR, Roberto e CÉSAR JÚNIOR, Roberto Marcondes. A two-level Markov random field for road network extraction and its application with optical, SAR, and multitemporal data. International Journal of Remote Sensing, v. 37, n. 16, p. 3584-3610, 2016Tradução . . Disponível em: https://doi.org/10.1080/01431161.2016.1201227. Acesso em: 04 dez. 2025.
APA
Perciano, T., Hirata Júnior, R., & César Júnior, R. M. (2016). A two-level Markov random field for road network extraction and its application with optical, SAR, and multitemporal data. International Journal of Remote Sensing, 37( 16), 3584-3610. doi:10.1080/01431161.2016.1201227
NLM
Perciano T, Hirata Júnior R, César Júnior RM. A two-level Markov random field for road network extraction and its application with optical, SAR, and multitemporal data [Internet]. International Journal of Remote Sensing. 2016 ; 37( 16): 3584-3610.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2016.1201227
Vancouver
Perciano T, Hirata Júnior R, César Júnior RM. A two-level Markov random field for road network extraction and its application with optical, SAR, and multitemporal data [Internet]. International Journal of Remote Sensing. 2016 ; 37( 16): 3584-3610.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2016.1201227
Artigo de periodico
A multi-sensor approach for mapping plant-derived carbon storage in Amazonian podzols (2015)
Pereira, O. J. R; Montes, Celia Regina ; Lucas, Yves ; Santin Roberta Clemente ; Melfi, Adolpho José
Fonte: International Journal of Remote Sensing. Unidades: CENA, ESALQ
Assuntos: CARBONO, PLANTAS, SOLOS
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ABNT
PEREIRA, O. J. R et al. A multi-sensor approach for mapping plant-derived carbon storage in Amazonian podzols. International Journal of Remote Sensing, v. 36, n. 8, p. 2076-2092, 2015Tradução . . Disponível em: https://doi.org/10.1080/01431161.2015.1034896. Acesso em: 04 dez. 2025.
APA
Pereira, O. J. R., Montes, C. R., Lucas, Y., Santin Roberta Clemente,, & Melfi, A. J. (2015). A multi-sensor approach for mapping plant-derived carbon storage in Amazonian podzols. International Journal of Remote Sensing, 36( 8), 2076-2092. doi:10.1080/01431161.2015.1034896
NLM
Pereira OJR, Montes CR, Lucas Y, Santin Roberta Clemente, Melfi AJ. A multi-sensor approach for mapping plant-derived carbon storage in Amazonian podzols [Internet]. International Journal of Remote Sensing. 2015 ; 36( 8): 2076-2092.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2015.1034896
Vancouver
Pereira OJR, Montes CR, Lucas Y, Santin Roberta Clemente, Melfi AJ. A multi-sensor approach for mapping plant-derived carbon storage in Amazonian podzols [Internet]. International Journal of Remote Sensing. 2015 ; 36( 8): 2076-2092.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2015.1034896
Artigo de periodico
Soil contaminated with chromium by tannery sludge and identified by vis-NIR-mid spectroscopy techniques (2014)
Araújo, Suzana Romeiro; Demattê, Jose Alexandre Melo ; Vicente, Simone
Fonte: International Journal of Remote Sensing. Unidade: ESALQ
Assuntos: CONTAMINAÇÃO DO SOLO, CROMO, CURTUME, ESPECTROSCOPIA INFRAVERMELHA, LODO, METAL PESADO DO SOLO, QUIMIOMETRIA, SOLO TROPICAL
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ABNT
ARAÚJO, Suzana Romeiro e DEMATTÊ, Jose Alexandre Melo e VICENTE, Simone. Soil contaminated with chromium by tannery sludge and identified by vis-NIR-mid spectroscopy techniques. International Journal of Remote Sensing, v. 35, n. 10, 2014Tradução . . Disponível em: https://doi.org/10.1080/01431161.2014.907940. Acesso em: 04 dez. 2025.
APA
Araújo, S. R., Demattê, J. A. M., & Vicente, S. (2014). Soil contaminated with chromium by tannery sludge and identified by vis-NIR-mid spectroscopy techniques. International Journal of Remote Sensing, 35( 10). doi:10.1080/01431161.2014.907940
NLM
Araújo SR, Demattê JAM, Vicente S. Soil contaminated with chromium by tannery sludge and identified by vis-NIR-mid spectroscopy techniques [Internet]. International Journal of Remote Sensing. 2014 ; 35( 10):[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2014.907940
Vancouver
Araújo SR, Demattê JAM, Vicente S. Soil contaminated with chromium by tannery sludge and identified by vis-NIR-mid spectroscopy techniques [Internet]. International Journal of Remote Sensing. 2014 ; 35( 10):[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2014.907940
Artigo de periodico
Analysing the effects of applying agricultural lime to soils by VNIR spectral sensing: a quantitative and quick method (2013)
Araújo, Suzana Romeiro; Demattê, José Alexandre Melo; Bellinaso, Henrique
Fonte: International Journal of Remote Sensing. Unidade: ESALQ
Assuntos: CALCÁRIO, SOLOS, SENSORIAMENTO REMOTO, ESPECTROSCOPIA
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ABNT
ARAÚJO, Suzana Romeiro e DEMATTÊ, José Alexandre Melo e BELLINASO, Henrique. Analysing the effects of applying agricultural lime to soils by VNIR spectral sensing: a quantitative and quick method. International Journal of Remote Sensing, v. 34, n. 13, p. 4570\20134584, 2013Tradução . . Disponível em: https://doi.org/10.1080/01431161.2013.779045. Acesso em: 04 dez. 2025.
APA
Araújo, S. R., Demattê, J. A. M., & Bellinaso, H. (2013). Analysing the effects of applying agricultural lime to soils by VNIR spectral sensing: a quantitative and quick method. International Journal of Remote Sensing, 34( 13), 4570\20134584. doi:10.1080/01431161.2013.779045
NLM
Araújo SR, Demattê JAM, Bellinaso H. Analysing the effects of applying agricultural lime to soils by VNIR spectral sensing: a quantitative and quick method [Internet]. International Journal of Remote Sensing. 2013 ; 34( 13): 4570\20134584.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2013.779045
Vancouver
Araújo SR, Demattê JAM, Bellinaso H. Analysing the effects of applying agricultural lime to soils by VNIR spectral sensing: a quantitative and quick method [Internet]. International Journal of Remote Sensing. 2013 ; 34( 13): 4570\20134584.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2013.779045
Artigo de periodico
Analysing the effects of applying agricultural lime to soils by VNIR spectral sensing: a quantitative and quick method (2013)
Araújo, Suzana Romeiro; Demattê, José Alexandre Melo; Bellinaso, Henrique
Fonte: International Journal of Remote Sensing. Unidade: ESALQ
Assuntos: SOLOS, MILHO, ANÁLISE ESPECTRAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARAÚJO, Suzana Romeiro e DEMATTÊ, José Alexandre Melo e BELLINASO, Henrique. Analysing the effects of applying agricultural lime to soils by VNIR spectral sensing: a quantitative and quick method. International Journal of Remote Sensing, v. 34, n. 13, p. 4570\20134584, 2013Tradução . . Disponível em: https://doi.org/10.1080/01431161.2013.779045. Acesso em: 04 dez. 2025.
APA
Araújo, S. R., Demattê, J. A. M., & Bellinaso, H. (2013). Analysing the effects of applying agricultural lime to soils by VNIR spectral sensing: a quantitative and quick method. International Journal of Remote Sensing, 34( 13), 4570\20134584. doi:10.1080/01431161.2013.779045
NLM
Araújo SR, Demattê JAM, Bellinaso H. Analysing the effects of applying agricultural lime to soils by VNIR spectral sensing: a quantitative and quick method [Internet]. International Journal of Remote Sensing. 2013 ; 34( 13): 4570\20134584.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2013.779045
Vancouver
Araújo SR, Demattê JAM, Bellinaso H. Analysing the effects of applying agricultural lime to soils by VNIR spectral sensing: a quantitative and quick method [Internet]. International Journal of Remote Sensing. 2013 ; 34( 13): 4570\20134584.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2013.779045
Artigo de periodico
Use of fraction imagery, segmentation and masking techniques to classify land-use and land-cover types in the Brazilian Amazon (2013)
Kawakubo, Fernando Shinji; Morato, Rúbia Gomes; Luchiari, Ailton
Fonte: International Journal of Remote Sensing. Unidade: FFLCH
Assuntos: CLASSIFICAÇÃO DO SOLO, USO DO SOLO
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ABNT
KAWAKUBO, Fernando Shinji e MORATO, Rúbia Gomes e LUCHIARI, Ailton. Use of fraction imagery, segmentation and masking techniques to classify land-use and land-cover types in the Brazilian Amazon. International Journal of Remote Sensing, v. 34, n. 15, p. 5452-5467, 2013Tradução . . Disponível em: https://doi.org/10.1080/01431161.2013.791758. Acesso em: 04 dez. 2025.
APA
Kawakubo, F. S., Morato, R. G., & Luchiari, A. (2013). Use of fraction imagery, segmentation and masking techniques to classify land-use and land-cover types in the Brazilian Amazon. International Journal of Remote Sensing, 34( 15), 5452-5467. doi:10.1080/01431161.2013.791758
NLM
Kawakubo FS, Morato RG, Luchiari A. Use of fraction imagery, segmentation and masking techniques to classify land-use and land-cover types in the Brazilian Amazon [Internet]. International Journal of Remote Sensing. 2013 ; 34( 15): 5452-5467.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2013.791758
Vancouver
Kawakubo FS, Morato RG, Luchiari A. Use of fraction imagery, segmentation and masking techniques to classify land-use and land-cover types in the Brazilian Amazon [Internet]. International Journal of Remote Sensing. 2013 ; 34( 15): 5452-5467.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2013.791758
Artigo de periodico
Analysis of NDVI time series using cross-correlation and forecasting methods for monitoring sugarcane fields in Brazil (2012)
Gonçalves, Renata Ribeiro do Valle; Zullo Junior, Jurandir; Romani, Luciana A. S; Nascimento, Cristina R; Traina, Agma Juci Machado
Fonte: International Journal of Remote Sensing. Unidade: ICMC
Assuntos: BANCO DE DADOS, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS
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ABNT
GONÇALVES, Renata Ribeiro do Valle et al. Analysis of NDVI time series using cross-correlation and forecasting methods for monitoring sugarcane fields in Brazil. International Journal of Remote Sensing, v. 33, n. 15, p. 4653-4672, 2012Tradução . . Disponível em: https://doi.org/10.1080/01431161.2011.638334. Acesso em: 04 dez. 2025.
APA
Gonçalves, R. R. do V., Zullo Junior, J., Romani, L. A. S., Nascimento, C. R., & Traina, A. J. M. (2012). Analysis of NDVI time series using cross-correlation and forecasting methods for monitoring sugarcane fields in Brazil. International Journal of Remote Sensing, 33( 15), 4653-4672. doi:10.1080/01431161.2011.638334
NLM
Gonçalves RR do V, Zullo Junior J, Romani LAS, Nascimento CR, Traina AJM. Analysis of NDVI time series using cross-correlation and forecasting methods for monitoring sugarcane fields in Brazil [Internet]. International Journal of Remote Sensing. 2012 ; 33( 15): 4653-4672.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2011.638334
Vancouver
Gonçalves RR do V, Zullo Junior J, Romani LAS, Nascimento CR, Traina AJM. Analysis of NDVI time series using cross-correlation and forecasting methods for monitoring sugarcane fields in Brazil [Internet]. International Journal of Remote Sensing. 2012 ; 33( 15): 4653-4672.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431161.2011.638334
Artigo de periodico
Soil density evaluated by spectral reflectance as an evidence of compaction effects (2010)
Dematte, Jose Alexandre Melo ; Nanni, M. R; Silva, A. P. da; Melo Filho, J. F. de; Santos, W. C. dos; Campos, R. C
Fonte: International Journal of Remote Sensing. Unidade: ESALQ
Assuntos: ANÁLISE ESPECTRAL, COMPACTAÇÃO DOS SOLOS, DENSIDADE DO SOLO, RADIOMETRIA
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ABNT
DEMATTE, Jose Alexandre Melo et al. Soil density evaluated by spectral reflectance as an evidence of compaction effects. International Journal of Remote Sensing, v. 31, n. 2, p. 403-422, 2010Tradução . . Disponível em: https://doi.org/10.1080/01431160902893469. Acesso em: 04 dez. 2025.
APA
Dematte, J. A. M., Nanni, M. R., Silva, A. P. da, Melo Filho, J. F. de, Santos, W. C. dos, & Campos, R. C. (2010). Soil density evaluated by spectral reflectance as an evidence of compaction effects. International Journal of Remote Sensing, 31( 2), 403-422. doi:10.1080/01431160902893469
NLM
Dematte JAM, Nanni MR, Silva AP da, Melo Filho JF de, Santos WC dos, Campos RC. Soil density evaluated by spectral reflectance as an evidence of compaction effects [Internet]. International Journal of Remote Sensing. 2010 ; 31( 2): 403-422.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431160902893469
Vancouver
Dematte JAM, Nanni MR, Silva AP da, Melo Filho JF de, Santos WC dos, Campos RC. Soil density evaluated by spectral reflectance as an evidence of compaction effects [Internet]. International Journal of Remote Sensing. 2010 ; 31( 2): 403-422.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431160902893469
Artigo de periodico
Spectral reflectance for the mineralogical evaluation of Brazilian low clay activity soils (2007)
Demattê, José Alexandre Melo ; Nanni, M. R.; Formaggio, A. R.; Epiphanio, José Carlos Neves
Fonte: International Journal of Remote Sensing. Unidade: ESALQ
Assuntos: SOLO TROPICAL, MINERALOGIA DO SOLO, ANÁLISE ESPECTRAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DEMATTÊ, José Alexandre Melo et al. Spectral reflectance for the mineralogical evaluation of Brazilian low clay activity soils. International Journal of Remote Sensing, v. 28, n. 17, p. 4537-4559, 2007Tradução . . Disponível em: https://doi.org/10.1080/01431160701250408. Acesso em: 04 dez. 2025.
APA
Demattê, J. A. M., Nanni, M. R., Formaggio, A. R., & Epiphanio, J. C. N. (2007). Spectral reflectance for the mineralogical evaluation of Brazilian low clay activity soils. International Journal of Remote Sensing, 28( 17), 4537-4559. doi:10.1080/01431160701250408
NLM
Demattê JAM, Nanni MR, Formaggio AR, Epiphanio JCN. Spectral reflectance for the mineralogical evaluation of Brazilian low clay activity soils [Internet]. International Journal of Remote Sensing. 2007 ; 28( 17): 4537-4559.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431160701250408
Vancouver
Demattê JAM, Nanni MR, Formaggio AR, Epiphanio JCN. Spectral reflectance for the mineralogical evaluation of Brazilian low clay activity soils [Internet]. International Journal of Remote Sensing. 2007 ; 28( 17): 4537-4559.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431160701250408
Artigo de periodico
Rainfall sensitivity analyses for the HSB sounder: an Amazon case study (2007)
Lima, W. F. A; Machado, L. A. T; Rodriguez, Carlos Augusto Morales; Viltard, N
Fonte: International Journal of Remote Sensing. Unidade: IAG
Assuntos: CHUVA (ESTIMATIVA), AMAZÔNIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, W. F. A et al. Rainfall sensitivity analyses for the HSB sounder: an Amazon case study. International Journal of Remote Sensing, v. 28, n. 16, p. 3529-3545, 2007Tradução . . Disponível em: https://doi.org/10.1080/01431160601013526. Acesso em: 04 dez. 2025.
APA
Lima, W. F. A., Machado, L. A. T., Rodriguez, C. A. M., & Viltard, N. (2007). Rainfall sensitivity analyses for the HSB sounder: an Amazon case study. International Journal of Remote Sensing, 28( 16), 3529-3545. doi:10.1080/01431160601013526
NLM
Lima WFA, Machado LAT, Rodriguez CAM, Viltard N. Rainfall sensitivity analyses for the HSB sounder: an Amazon case study [Internet]. International Journal of Remote Sensing. 2007 ; 28( 16): 3529-3545.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431160601013526
Vancouver
Lima WFA, Machado LAT, Rodriguez CAM, Viltard N. Rainfall sensitivity analyses for the HSB sounder: an Amazon case study [Internet]. International Journal of Remote Sensing. 2007 ; 28( 16): 3529-3545.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431160601013526
Artigo de periodico
Quantification of tropical soil attributes from ETM+, /LANDSAT-7 data (2007)
Demattê, José Alexandre Melo; Galdos, M. V.; Guimarães, R. V.; Genú, A. M.; Nanni, M. R.; Zullo Junior, J.
Fonte: International Journal of Remote Sensing. Unidade: ESALQ
Assuntos: SOLO TROPICAL, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DEMATTÊ, José Alexandre Melo et al. Quantification of tropical soil attributes from ETM+, /LANDSAT-7 data. International Journal of Remote Sensing, v. 28, n. 17, p. 3813-3829, 2007Tradução . . Disponível em: https://doi.org/10.1080/01431160601121469. Acesso em: 04 dez. 2025.
APA
Demattê, J. A. M., Galdos, M. V., Guimarães, R. V., Genú, A. M., Nanni, M. R., & Zullo Junior, J. (2007). Quantification of tropical soil attributes from ETM+, /LANDSAT-7 data. International Journal of Remote Sensing, 28( 17), 3813-3829. doi:10.1080/01431160601121469
NLM
Demattê JAM, Galdos MV, Guimarães RV, Genú AM, Nanni MR, Zullo Junior J. Quantification of tropical soil attributes from ETM+, /LANDSAT-7 data [Internet]. International Journal of Remote Sensing. 2007 ; 28( 17): 3813-3829.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431160601121469
Vancouver
Demattê JAM, Galdos MV, Guimarães RV, Genú AM, Nanni MR, Zullo Junior J. Quantification of tropical soil attributes from ETM+, /LANDSAT-7 data [Internet]. International Journal of Remote Sensing. 2007 ; 28( 17): 3813-3829.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431160601121469
Artigo de periodico
Determination of soil attribute contents by means of reflected electromagnetic energy (2006)
Genú, A. M.; Demattê, José Alexandre Melo
Fonte: International Journal of Remote Sensing. Unidade: ESALQ
Assuntos: SENSORIAMENTO REMOTO, SOLOS, RADIAÇÃO ELETROMAGNÉTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GENÚ, A. M. e DEMATTÊ, José Alexandre Melo. Determination of soil attribute contents by means of reflected electromagnetic energy. International Journal of Remote Sensing, v. 27, n. 21/22, p. 4807-4818, 2006Tradução . . Disponível em: https://doi.org/10.1080/01431160600568926. Acesso em: 04 dez. 2025.
APA
Genú, A. M., & Demattê, J. A. M. (2006). Determination of soil attribute contents by means of reflected electromagnetic energy. International Journal of Remote Sensing, 27( 21/22), 4807-4818. doi:10.1080/01431160600568926
NLM
Genú AM, Demattê JAM. Determination of soil attribute contents by means of reflected electromagnetic energy [Internet]. International Journal of Remote Sensing. 2006 ; 27( 21/22): 4807-4818.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431160600568926
Vancouver
Genú AM, Demattê JAM. Determination of soil attribute contents by means of reflected electromagnetic energy [Internet]. International Journal of Remote Sensing. 2006 ; 27( 21/22): 4807-4818.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431160600568926
Artigo de periodico
Temporal scale and spatial resolution effects on Amazon forest fragmentation assessment in Rondonia (2006)
Ferraz, S. F. B.; Capão, L. M. S. A. C.; Vettorazzi, Carlos Alberto
Fonte: International Journal of Remote Sensing. Unidade: ESALQ
Assuntos: FLORESTAS, DESMATAMENTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERRAZ, S. F. B. e CAPÃO, L. M. S. A. C. e VETTORAZZI, Carlos Alberto. Temporal scale and spatial resolution effects on Amazon forest fragmentation assessment in Rondonia. International Journal of Remote Sensing, v. 27, n. 3, p. 459-472, 2006Tradução . . Disponível em: https://doi.org/10.1080/01431160500259907. Acesso em: 04 dez. 2025.
APA
Ferraz, S. F. B., Capão, L. M. S. A. C., & Vettorazzi, C. A. (2006). Temporal scale and spatial resolution effects on Amazon forest fragmentation assessment in Rondonia. International Journal of Remote Sensing, 27( 3), 459-472. doi:10.1080/01431160500259907
NLM
Ferraz SFB, Capão LMSAC, Vettorazzi CA. Temporal scale and spatial resolution effects on Amazon forest fragmentation assessment in Rondonia [Internet]. International Journal of Remote Sensing. 2006 ; 27( 3): 459-472.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431160500259907
Vancouver
Ferraz SFB, Capão LMSAC, Vettorazzi CA. Temporal scale and spatial resolution effects on Amazon forest fragmentation assessment in Rondonia [Internet]. International Journal of Remote Sensing. 2006 ; 27( 3): 459-472.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431160500259907
Artigo de periodico
Discrimination of sugarcane varieties using Landsat 7 ETM + spectral data (2006)
Fortes, C.; Demattê, José Alexandre Melo
Fonte: International Journal of Remote Sensing. Unidade: ESALQ
Assuntos: CANA-DE-AÇÚCAR, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FORTES, C. e DEMATTÊ, José Alexandre Melo. Discrimination of sugarcane varieties using Landsat 7 ETM + spectral data. International Journal of Remote Sensing, v. 27, n. 7, p. 1395-1412, 2006Tradução . . Disponível em: https://doi.org/10.1080/01431160500383863. Acesso em: 04 dez. 2025.
APA
Fortes, C., & Demattê, J. A. M. (2006). Discrimination of sugarcane varieties using Landsat 7 ETM + spectral data. International Journal of Remote Sensing, 27( 7), 1395-1412. doi:10.1080/01431160500383863
NLM
Fortes C, Demattê JAM. Discrimination of sugarcane varieties using Landsat 7 ETM + spectral data [Internet]. International Journal of Remote Sensing. 2006 ; 27( 7): 1395-1412.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431160500383863
Vancouver
Fortes C, Demattê JAM. Discrimination of sugarcane varieties using Landsat 7 ETM + spectral data [Internet]. International Journal of Remote Sensing. 2006 ; 27( 7): 1395-1412.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/01431160500383863

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