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Artigo de periodico
Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: an application to Brazil (2022)
Xu, Guosen ; Wang, Yi ; Wang, Lizhe ; Soares, Lucas Pedrosa ; Grohmann, Carlos Henrique
Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Unidades: IEE, IGC
Subjects: DESLIZAMENTO DE TERRA, GEOPROCESSAMENTO
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ABNT
XU, Guosen et al. Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: an application to Brazil. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 15, p. 2644-2659, 2022Tradução . . Disponível em: https://doi.org/10.1109/JSTARS.2022.3161383. Acesso em: 20 maio 2024.
APA
Xu, G., Wang, Y., Wang, L., Soares, L. P., & Grohmann, C. H. (2022). Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: an application to Brazil. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 2644-2659. doi:10.1109/JSTARS.2022.3161383.
NLM
Xu G, Wang Y, Wang L, Soares LP, Grohmann CH. Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: an application to Brazil [Internet]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2022 ; 15 2644-2659.[citado 2024 maio 20 ] Available from: https://doi.org/10.1109/JSTARS.2022.3161383.
Vancouver
Xu G, Wang Y, Wang L, Soares LP, Grohmann CH. Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: an application to Brazil [Internet]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2022 ; 15 2644-2659.[citado 2024 maio 20 ] Available from: https://doi.org/10.1109/JSTARS.2022.3161383.
Artigo de periodico
Assessing CERES Surface Radiation Components for Tropical and Subtropical Biomes (2019)
Nascimento, Gláucia dos Santos; Ruhoff, Anderson; Cavalcanti, J. Rafael; Marques, David da Motta; Roberti, Débora Regina; Rocha, Humberto Ribeiro da ; Munar, Andrés Maurício; Fragoso Jr., Carlos Ruberto; Oliveira, Maria Betânia Leal de
Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Unidade: IAG
Subjects: BIOMA, FLORESTAS, RADIAÇÃO ATMOSFÉRICA, DESCARGA ATMOSFÉRICA
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ABNT
NASCIMENTO, Gláucia dos Santos et al. Assessing CERES Surface Radiation Components for Tropical and Subtropical Biomes. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 12, n. 10, p. 3826-3840, 2019Tradução . . Disponível em: https://doi.org/10.1109/JSTARS.2019.2939382. Acesso em: 20 maio 2024.
APA
Nascimento, G. dos S., Ruhoff, A., Cavalcanti, J. R., Marques, D. da M., Roberti, D. R., Rocha, H. R. da, et al. (2019). Assessing CERES Surface Radiation Components for Tropical and Subtropical Biomes. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12( 10), 3826-3840. doi:10.1109/JSTARS.2019.2939382
NLM
Nascimento G dos S, Ruhoff A, Cavalcanti JR, Marques D da M, Roberti DR, Rocha HR da, Munar AM, Fragoso Jr. CR, Oliveira MBL de. Assessing CERES Surface Radiation Components for Tropical and Subtropical Biomes [Internet]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2019 ; 12( 10): 3826-3840.[citado 2024 maio 20 ] Available from: https://doi.org/10.1109/JSTARS.2019.2939382
Vancouver
Nascimento G dos S, Ruhoff A, Cavalcanti JR, Marques D da M, Roberti DR, Rocha HR da, Munar AM, Fragoso Jr. CR, Oliveira MBL de. Assessing CERES Surface Radiation Components for Tropical and Subtropical Biomes [Internet]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2019 ; 12( 10): 3826-3840.[citado 2024 maio 20 ] Available from: https://doi.org/10.1109/JSTARS.2019.2939382
Artigo de periodico
Simulating the canopy reflectance of different eucalypt genotypes with the DART 3-D model (2017)
Oliveira, Julianne de Castro; Feret, Jean-Baptiste; Ponzoni, Flavio Jorge; Nouvellon, Yann; Gastellu-Etchegorry, Jean-Philippe; Campoe, Otavio Camargo; Stape, Jose Luiz; Rodriguez, Luiz Carlos Estraviz; le Maire, Guerric
Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Unidade: ESALQ
Subjects: DOSSEL (BOTÂNICA), EUCALIPTO, GENÓTIPOS, SENSORIAMENTO REMOTO, SIMULAÇÃO
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ABNT
OLIVEIRA, Julianne de Castro et al. Simulating the canopy reflectance of different eucalypt genotypes with the DART 3-D model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017Tradução . . Disponível em: https://doi.org/10.1109/jstars.2017.2690000. Acesso em: 20 maio 2024.
APA
Oliveira, J. de C., Feret, J. -B., Ponzoni, F. J., Nouvellon, Y., Gastellu-Etchegorry, J. -P., Campoe, O. C., et al. (2017). Simulating the canopy reflectance of different eucalypt genotypes with the DART 3-D model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. doi:10.1109/jstars.2017.2690000
NLM
Oliveira J de C, Feret J-B, Ponzoni FJ, Nouvellon Y, Gastellu-Etchegorry J-P, Campoe OC, Stape JL, Rodriguez LCE, le Maire G. Simulating the canopy reflectance of different eucalypt genotypes with the DART 3-D model [Internet]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2017 ;[citado 2024 maio 20 ] Available from: https://doi.org/10.1109/jstars.2017.2690000
Vancouver
Oliveira J de C, Feret J-B, Ponzoni FJ, Nouvellon Y, Gastellu-Etchegorry J-P, Campoe OC, Stape JL, Rodriguez LCE, le Maire G. Simulating the canopy reflectance of different eucalypt genotypes with the DART 3-D model [Internet]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2017 ;[citado 2024 maio 20 ] Available from: https://doi.org/10.1109/jstars.2017.2690000
Artigo de periodico
Microwave tomography-enhanced GPR in forensic surveys: the case study of a tropical environment (2015)
Almeida, Emerson Rodrigo; Porsani, Jorge Luís; Catapano, Ilaria; Gennarelli, Gianluca; Soldovieri, Francesco
Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Unidade: IAG
Subjects: RADAR DE PENETRAÇÃO NO SOLO, PROCESSAMENTO DE DADOS, TOMOGRAFIA
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ABNT
ALMEIDA, Emerson Rodrigo et al. Microwave tomography-enhanced GPR in forensic surveys: the case study of a tropical environment. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. PP, n. 99, p. 1-10, 2015Tradução . . Disponível em: https://doi.org/10.1109/JSTARS.2015.2466556. Acesso em: 20 maio 2024.
APA
Almeida, E. R., Porsani, J. L., Catapano, I., Gennarelli, G., & Soldovieri, F. (2015). Microwave tomography-enhanced GPR in forensic surveys: the case study of a tropical environment. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, PP( 99), 1-10. doi:10.1109/JSTARS.2015.2466556
NLM
Almeida ER, Porsani JL, Catapano I, Gennarelli G, Soldovieri F. Microwave tomography-enhanced GPR in forensic surveys: the case study of a tropical environment [Internet]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2015 ; PP( 99): 1-10.[citado 2024 maio 20 ] Available from: https://doi.org/10.1109/JSTARS.2015.2466556
Vancouver
Almeida ER, Porsani JL, Catapano I, Gennarelli G, Soldovieri F. Microwave tomography-enhanced GPR in forensic surveys: the case study of a tropical environment [Internet]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2015 ; PP( 99): 1-10.[citado 2024 maio 20 ] Available from: https://doi.org/10.1109/JSTARS.2015.2466556
Artigo de periodico
South America land use and land cover assessment and preliminary analysis of their impacts on regional atmospheric modeling studies (2015)
Capucim, Maurício N; Brand, V. S; Machado, C. B; Martins, L. D; Homann, Camila T; Freitas, Edmílson Dias de; Silva Dias, Maria Assunção Faus da; Andrade, Maria de Fátima; Martins, Jorge A
Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Unidade: IAG
Subjects: AGRICULTURA, ESPAÇO URBANO, PREVISÃO DO TEMPO, BASES DE DADOS, USO DO SOLO, AMÉRICA DO SUL
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CAPUCIM, Maurício N et al. South America land use and land cover assessment and preliminary analysis of their impacts on regional atmospheric modeling studies. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 8, n. 3, p. 1185-1198, 2015Tradução . . Disponível em: https://doi.org/10.1109/JSTARS.2014.2363368. Acesso em: 20 maio 2024.
APA
Capucim, M. N., Brand, V. S., Machado, C. B., Martins, L. D., Homann, C. T., Freitas, E. D. de, et al. (2015). South America land use and land cover assessment and preliminary analysis of their impacts on regional atmospheric modeling studies. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8( 3), 1185-1198. doi:10.1109/JSTARS.2014.2363368
NLM
Capucim MN, Brand VS, Machado CB, Martins LD, Homann CT, Freitas ED de, Silva Dias MAF da, Andrade M de F, Martins JA. South America land use and land cover assessment and preliminary analysis of their impacts on regional atmospheric modeling studies [Internet]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2015 ; 8( 3): 1185-1198.[citado 2024 maio 20 ] Available from: https://doi.org/10.1109/JSTARS.2014.2363368
Vancouver
Capucim MN, Brand VS, Machado CB, Martins LD, Homann CT, Freitas ED de, Silva Dias MAF da, Andrade M de F, Martins JA. South America land use and land cover assessment and preliminary analysis of their impacts on regional atmospheric modeling studies [Internet]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2015 ; 8( 3): 1185-1198.[citado 2024 maio 20 ] Available from: https://doi.org/10.1109/JSTARS.2014.2363368
Artigo de periodico
Evaluation of ALOS/PALSAR L-band data for the estimation of Eucalyptus plantations aboveground biomass in Brazil (2014)
Baghdadi, Nicolas; Le Maire, Guerric; Bailly, Jean-Stephane; Ose, Kenji; Nouvellon, Yann; Zribi, Mehrez; Lemos, Cristiane; Hakamada, Rodrigo
Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Unidade: ESALQ
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, BIOMASSA, EUCALIPTO, IMAGEAMENTO DE RADAR, SENSORIAMENTO REMOTO, SILVICULTURA
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ABNT
BAGHDADI, Nicolas et al. Evaluation of ALOS/PALSAR L-band data for the estimation of Eucalyptus plantations aboveground biomass in Brazil. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 8, n. 8, p. 3802-3811, 2014Tradução . . Disponível em: https://doi.org/10.1109/JSTARS.2014.2353661. Acesso em: 20 maio 2024.
APA
Baghdadi, N., Le Maire, G., Bailly, J. -S., Ose, K., Nouvellon, Y., Zribi, M., et al. (2014). Evaluation of ALOS/PALSAR L-band data for the estimation of Eucalyptus plantations aboveground biomass in Brazil. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8( 8), 3802-3811. doi:10.1109/JSTARS.2014.2353661
NLM
Baghdadi N, Le Maire G, Bailly J-S, Ose K, Nouvellon Y, Zribi M, Lemos C, Hakamada R. Evaluation of ALOS/PALSAR L-band data for the estimation of Eucalyptus plantations aboveground biomass in Brazil [Internet]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2014 ; 8( 8): 3802-3811.[citado 2024 maio 20 ] Available from: https://doi.org/10.1109/JSTARS.2014.2353661
Vancouver
Baghdadi N, Le Maire G, Bailly J-S, Ose K, Nouvellon Y, Zribi M, Lemos C, Hakamada R. Evaluation of ALOS/PALSAR L-band data for the estimation of Eucalyptus plantations aboveground biomass in Brazil [Internet]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2014 ; 8( 8): 3802-3811.[citado 2024 maio 20 ] Available from: https://doi.org/10.1109/JSTARS.2014.2353661
Artigo de periodico
Testing different methods of forest height and aboveground biomass estimations from ICESat/GLAS data in Eucalyptus plantations in Brazil (2014)
Baghdadi, Nicolas; le Maire, Guerric; Fayad, Ibrahim; Bailly, Jean Stephane; Nouvellon, Yann Pierre ; Lemos, Cristiane; Hakamada, Rodrigo
Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Unidade: ESALQ
Subjects: BIOMASSA, DOSSEL (BOTÂNICA), EUCALIPTO, MODELOS MATEMÁTICOS, SENSORIAMENTO REMOTO, SILVICULTURA, TECNOLOGIA LIDAR
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ABNT
BAGHDADI, Nicolas et al. Testing different methods of forest height and aboveground biomass estimations from ICESat/GLAS data in Eucalyptus plantations in Brazil. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 7, n. 1, p. 290-299, 2014Tradução . . Disponível em: https://doi.org/10.1109/JSTARS.2013.2261978. Acesso em: 20 maio 2024.
APA
Baghdadi, N., le Maire, G., Fayad, I., Bailly, J. S., Nouvellon, Y. P., Lemos, C., & Hakamada, R. (2014). Testing different methods of forest height and aboveground biomass estimations from ICESat/GLAS data in Eucalyptus plantations in Brazil. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7( 1), 290-299. doi:10.1109/JSTARS.2013.2261978
NLM
Baghdadi N, le Maire G, Fayad I, Bailly JS, Nouvellon YP, Lemos C, Hakamada R. Testing different methods of forest height and aboveground biomass estimations from ICESat/GLAS data in Eucalyptus plantations in Brazil [Internet]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2014 ; 7( 1): 290-299.[citado 2024 maio 20 ] Available from: https://doi.org/10.1109/JSTARS.2013.2261978
Vancouver
Baghdadi N, le Maire G, Fayad I, Bailly JS, Nouvellon YP, Lemos C, Hakamada R. Testing different methods of forest height and aboveground biomass estimations from ICESat/GLAS data in Eucalyptus plantations in Brazil [Internet]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2014 ; 7( 1): 290-299.[citado 2024 maio 20 ] Available from: https://doi.org/10.1109/JSTARS.2013.2261978

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