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  • Source: International Journal of Remote Sensing. Unidade: ESALQ

    Subjects: ANÁLISE DO SOLO, ARGILAS, ESPECTROSCOPIA INFRAVERMELHA, MINERALOGIA DO SOLO

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      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: 07 jul. 2022.
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      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 2022 jul. 07 ] 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 2022 jul. 07 ] Available from: https://doi.org/10.1080/01431161.2021.1948625
  • Source: International Journal of Remote Sensing. Unidade: ESALQ

    Subjects: APRENDIZADO COMPUTACIONAL, CLASSIFICAÇÃO DO SOLO, ESPECTROSCOPIA, GEOESTATÍSTICA, MAPEAMENTO DO SOLO, MODELOS MATEMÁTICOS, REGRESSÃO LOGÍSTICA, SENSORIAMENTO REMOTO

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      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: www.tandfonline.com/doi/full/10.1080/01431161.2020.1763506. Acesso em: 07 jul. 2022.
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      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:doi.org/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 2022 jul. 07 ] Available from: 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 2022 jul. 07 ] Available from: www.tandfonline.com/doi/full/10.1080/01431161.2020.1763506
  • Source: International Journal of Remote Sensing. Unidade: ESALQ

    Subjects: ANÁLISE ESPECTRAL, CANA-DE-AÇÚCAR, IMAGEAMENTO DE SATÉLITE, RESÍDUOS AGRÍCOLAS, SENSORIAMENTO REMOTO

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      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: 07 jul. 2022.
    • 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 2022 jul. 07 ] 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 2022 jul. 07 ] Available from: https://doi.org/10.1080/01431161.2020.1842542
  • Source: International Journal of Remote Sensing. Unidade: ESALQ

    Subjects: EUCALIPTO, INVENTÁRIO FLORESTAL, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR

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      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: http://dx.doi.org/10.1080/01431161.2018.1486519. Acesso em: 07 jul. 2022.
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      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 2022 jul. 07 ] Available from: http://dx.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 2022 jul. 07 ] Available from: http://dx.doi.org/10.1080/01431161.2018.1486519
  • Source: International Journal of Remote Sensing. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, CAMPOS ALEATÓRIOS MARKOVIANOS, IMAGEAMENTO DE SATÉLITE

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      PERCIANO, Talita e CÉSAR JÚNIOR, Roberto Marcondes e HIRATA JÚNIOR, Roberto. 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: http://dx.doi.org/10.1080/01431161.2016.1201227. Acesso em: 07 jul. 2022.
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      Perciano, T., César Júnior, R. M., & Hirata Júnior, R. (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, César Júnior RM, Hirata Júnior R. 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 2022 jul. 07 ] Available from: http://dx.doi.org/10.1080/01431161.2016.1201227
    • Vancouver

      Perciano T, César Júnior RM, Hirata Júnior R. 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 2022 jul. 07 ] Available from: http://dx.doi.org/10.1080/01431161.2016.1201227
  • Source: International Journal of Remote Sensing. Unidades: CENA, ESALQ

    Subjects: CARBONO, PLANTAS, SOLOS

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      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 . . Acesso em: 07 jul. 2022.
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      Pereira, O. J. R., Montes, C. R., Lucas, Y., Santin, R. C., & 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 RC, Melfi AJ. A multi-sensor approach for mapping plant-derived carbon storage in Amazonian podzols. International Journal of Remote Sensing. 2015 ; 36( 8): 2076-2092.[citado 2022 jul. 07 ]
    • Vancouver

      Pereira OJR, Montes CR, Lucas Y, Santin RC, Melfi AJ. A multi-sensor approach for mapping plant-derived carbon storage in Amazonian podzols. International Journal of Remote Sensing. 2015 ; 36( 8): 2076-2092.[citado 2022 jul. 07 ]
  • Source: International Journal of Remote Sensing. Unidade: ESALQ

    Subjects: CONTAMINAÇÃO DO SOLO, CROMO, CURTUME, ESPECTROSCOPIA INFRAVERMELHA, LODO, METAL PESADO DO SOLO, QUIMIOMETRIA, SOLO TROPICAL

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      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: 07 jul. 2022.
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      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 2022 jul. 07 ] 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 2022 jul. 07 ] Available from: https://doi.org/10.1080/01431161.2014.907940
  • Source: International Journal of Remote Sensing. Unidade: ESALQ

    Subjects: CALCÁRIO, SOLOS, SENSORIAMENTO REMOTO, ESPECTROSCOPIA

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      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: http://www.tandfonline.com/doi/pdf/10.1080/01431161.2013.779045. Acesso em: 07 jul. 2022.
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      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: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 2022 jul. 07 ] Available from: http://www.tandfonline.com/doi/pdf/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 2022 jul. 07 ] Available from: http://www.tandfonline.com/doi/pdf/10.1080/01431161.2013.779045
  • Source: International Journal of Remote Sensing. Unidade: ESALQ

    Subjects: SOLOS, MILHO, ANÁLISE ESPECTRAL

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      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: http://www.tandfonline.com/doi/pdf/10.1080/01431161.2013.779045. Acesso em: 07 jul. 2022.
    • 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: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 2022 jul. 07 ] Available from: http://www.tandfonline.com/doi/pdf/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 2022 jul. 07 ] Available from: http://www.tandfonline.com/doi/pdf/10.1080/01431161.2013.779045
  • Source: International Journal of Remote Sensing. Unidade: FFLCH

    Subjects: CLASSIFICAÇÃO DO SOLO, USO DO SOLO

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      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://dx.doi.org/10.1080/01431161.2013.791758. Acesso em: 07 jul. 2022.
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      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 2022 jul. 07 ] Available from: https://dx.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 2022 jul. 07 ] Available from: https://dx.doi.org/10.1080/01431161.2013.791758
  • Source: International Journal of Remote Sensing. Unidade: ICMC

    Subjects: BANCO DE DADOS, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS

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      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: http://dx.doi.org/10.1080/01431161.2011.638334. Acesso em: 07 jul. 2022.
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      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 2022 jul. 07 ] Available from: http://dx.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 2022 jul. 07 ] Available from: http://dx.doi.org/10.1080/01431161.2011.638334
  • Source: International Journal of Remote Sensing. Unidade: ESALQ

    Subjects: ANÁLISE ESPECTRAL, COMPACTAÇÃO DOS SOLOS, DENSIDADE DO SOLO, RADIOMETRIA

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      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: 07 jul. 2022.
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      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 2022 jul. 07 ] 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 2022 jul. 07 ] Available from: https://doi.org/10.1080/01431160902893469
  • Source: International Journal of Remote Sensing. Unidade: ESALQ

    Subjects: SOLO TROPICAL, MINERALOGIA DO SOLO, ANÁLISE ESPECTRAL

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      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: http://www.tandfonline.com/doi/pdf/10.1080/01431160701250408. Acesso em: 07 jul. 2022.
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      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 2022 jul. 07 ] Available from: http://www.tandfonline.com/doi/pdf/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 2022 jul. 07 ] Available from: http://www.tandfonline.com/doi/pdf/10.1080/01431160701250408
  • Source: International Journal of Remote Sensing. Unidade: IAG

    Subjects: CHUVA (ESTIMATIVA), AMAZÔNIA

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      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 . . Acesso em: 07 jul. 2022.
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      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. International Journal of Remote Sensing. 2007 ; 28( 16): 3529-3545.[citado 2022 jul. 07 ]
    • Vancouver

      Lima WFA, Machado LAT, Rodriguez CAM, Viltard N. Rainfall sensitivity analyses for the HSB sounder: an Amazon case study. International Journal of Remote Sensing. 2007 ; 28( 16): 3529-3545.[citado 2022 jul. 07 ]
  • Source: International Journal of Remote Sensing. Unidade: ESALQ

    Subjects: SOLO TROPICAL, SENSORIAMENTO REMOTO

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      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: http://www.tandfonline.com/doi/pdf/10.1080/01431160601121469. Acesso em: 07 jul. 2022.
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      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 2022 jul. 07 ] Available from: http://www.tandfonline.com/doi/pdf/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 2022 jul. 07 ] Available from: http://www.tandfonline.com/doi/pdf/10.1080/01431160601121469
  • Source: International Journal of Remote Sensing. Unidade: ESALQ

    Subjects: FLORESTAS, DESMATAMENTO

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      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: http://www.tandfonline.com/doi/pdf/10.1080/01431160500259907. Acesso em: 07 jul. 2022.
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      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 2022 jul. 07 ] Available from: http://www.tandfonline.com/doi/pdf/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 2022 jul. 07 ] Available from: http://www.tandfonline.com/doi/pdf/10.1080/01431160500259907
  • Source: International Journal of Remote Sensing. Unidade: ESALQ

    Subjects: SENSORIAMENTO REMOTO, SOLOS, RADIAÇÃO ELETROMAGNÉTICA

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    • 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: http://www.tandfonline.com/doi/pdf/10.1080/01431160600568926. Acesso em: 07 jul. 2022.
    • 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 2022 jul. 07 ] Available from: http://www.tandfonline.com/doi/pdf/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 2022 jul. 07 ] Available from: http://www.tandfonline.com/doi/pdf/10.1080/01431160600568926
  • Source: International Journal of Remote Sensing. Unidade: ESALQ

    Subjects: CANA-DE-AÇÚCAR, SENSORIAMENTO REMOTO

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    • 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: http://www.tandfonline.com/doi/pdf/10.1080/01431160500383863. Acesso em: 07 jul. 2022.
    • 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 2022 jul. 07 ] Available from: http://www.tandfonline.com/doi/pdf/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 2022 jul. 07 ] Available from: http://www.tandfonline.com/doi/pdf/10.1080/01431160500383863
  • Source: International Journal of Remote Sensing. Unidades: ESALQ, CENA

    Subjects: ANÁLISE ESPECTRAL, CANA-DE-AÇÚCAR, IMAGEAMENTO DE SATÉLITE, SENSORIAMENTO REMOTO, VARIEDADES VEGETAIS

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    • ABNT

      FORTES, Caio e DEMATTE, Jose 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: 07 jul. 2022.
    • APA

      Fortes, C., & Dematte, 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, Dematte JAM. Discrimination of sugarcane varieties using Landsat 7 ETM+ spectral data [Internet]. International Journal of Remote Sensing. 2006 ; 27( 7): 1395-1412.[citado 2022 jul. 07 ] Available from: https://doi.org/10.1080/01431160500383863
    • Vancouver

      Fortes C, Dematte JAM. Discrimination of sugarcane varieties using Landsat 7 ETM+ spectral data [Internet]. International Journal of Remote Sensing. 2006 ; 27( 7): 1395-1412.[citado 2022 jul. 07 ] Available from: https://doi.org/10.1080/01431160500383863
  • Source: International Journal of Remote Sensing. Unidade: IGC

    Subjects: SISTEMA DE INFORMAÇÃO GEOGRÁFICA, SENSORIAMENTO REMOTO (CARTOGRAFIA)

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    • ABNT

      ALMEIDA, Teodoro Isnard Ribeiro de e SOUZA FILHO, C. R. e ROSSETTO, R. ASTER and Landsat ETM+ images applied to sugarcane yield forecast. International Journal of Remote Sensing, v. 27, n. 19, p. 4057-4069, 2006Tradução . . Disponível em: https://doi.org/10.1080/01431160600857451. Acesso em: 07 jul. 2022.
    • APA

      Almeida, T. I. R. de, Souza Filho, C. R., & Rossetto, R. (2006). ASTER and Landsat ETM+ images applied to sugarcane yield forecast. International Journal of Remote Sensing, 27( 19), 4057-4069. doi:10.1080/01431160600857451
    • NLM

      Almeida TIR de, Souza Filho CR, Rossetto R. ASTER and Landsat ETM+ images applied to sugarcane yield forecast [Internet]. International Journal of Remote Sensing. 2006 ; 27( 19): 4057-4069.[citado 2022 jul. 07 ] Available from: https://doi.org/10.1080/01431160600857451
    • Vancouver

      Almeida TIR de, Souza Filho CR, Rossetto R. ASTER and Landsat ETM+ images applied to sugarcane yield forecast [Internet]. International Journal of Remote Sensing. 2006 ; 27( 19): 4057-4069.[citado 2022 jul. 07 ] Available from: https://doi.org/10.1080/01431160600857451

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