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Artigo de periodico
Crown-level structure and fuel load characterization from airborne and terrestrial laser scanning in a longleaf pine (Pinus palustris Mill.) forest ecosystem (2023)
Rocha, Kleydson Diego; Silva, Carlos Alberto ; Cosenza, Diogo N ; Mohan, Midhun ; Klauberg, Carine ; Schlickmann, Monique Bohora ; Xia, Jinyi; Leite, Rodrigo V; Almeida, Danilo Roberti Alves de ; Atkins, Jeff W; Cardil, Adrian ; Rowell, Eric; Parsons, Russ ; Sánchez-López, Nuria ; Prichard, Susan J; Hudak, Andrew T
Source: Remote Sensing. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, DOSSEL (BOTÂNICA), ECOSSISTEMAS FLORESTAIS, PINHEIRO, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROCHA, Kleydson Diego et al. Crown-level structure and fuel load characterization from airborne and terrestrial laser scanning in a longleaf pine (Pinus palustris Mill.) forest ecosystem. Remote Sensing, v. 15, p. 1-21, 2023Tradução . . Disponível em: https://doi.org/10.3390/rs15041002. Acesso em: 15 nov. 2024.
APA
Rocha, K. D., Silva, C. A., Cosenza, D. N., Mohan, M., Klauberg, C., Schlickmann, M. B., et al. (2023). Crown-level structure and fuel load characterization from airborne and terrestrial laser scanning in a longleaf pine (Pinus palustris Mill.) forest ecosystem. Remote Sensing, 15, 1-21. doi:10.3390/rs15041002
NLM
Rocha KD, Silva CA, Cosenza DN, Mohan M, Klauberg C, Schlickmann MB, Xia J, Leite RV, Almeida DRA de, Atkins JW, Cardil A, Rowell E, Parsons R, Sánchez-López N, Prichard SJ, Hudak AT. Crown-level structure and fuel load characterization from airborne and terrestrial laser scanning in a longleaf pine (Pinus palustris Mill.) forest ecosystem [Internet]. Remote Sensing. 2023 ; 15 1-21.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/rs15041002
Vancouver
Rocha KD, Silva CA, Cosenza DN, Mohan M, Klauberg C, Schlickmann MB, Xia J, Leite RV, Almeida DRA de, Atkins JW, Cardil A, Rowell E, Parsons R, Sánchez-López N, Prichard SJ, Hudak AT. Crown-level structure and fuel load characterization from airborne and terrestrial laser scanning in a longleaf pine (Pinus palustris Mill.) forest ecosystem [Internet]. Remote Sensing. 2023 ; 15 1-21.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/rs15041002
Artigo de periodico
Applying high-resolution UAV-LiDAR and quantitative structure modelling for estimating tree attributes in a crop-livestock-forest system (2022)
Dalla Corte, Ana Paula; Vasconcellos, Bruna Nascimento de; Rex, Franciel Eduardo; Sanquetta, Carlos Roberto; Mohan, Midhun; Silva, Carlos Alberto; Klauberg, Carine; Almeida, Danilo Roberti Alves de ; Zambrano, Angelica Maria Almeyda; Trautenmüller, Jonathan William; Leite, Rodrigo Vieira; Amaral, Cibele Hummel do; Veras, Hudson Franklin Pessoa; Rocha, Karla da Silva; Moraes, Anibal de; Karasinski, Mauro Alessandro; Sanquetta, Matheus Niroh Inoue; Broadbent, Eben North
Source: Land. Unidade: ESALQ
Subjects: AERONAVES NÃO TRIPULADAS, ÁRVORES FLORESTAIS, DENDROMETRIA, MODELOS MATEMÁTICOS, SENSORIAMENTO REMOTO, SISTEMAS AGROSSILVIPASTORIS, TECNOLOGIA LIDAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DALLA CORTE, Ana Paula et al. Applying high-resolution UAV-LiDAR and quantitative structure modelling for estimating tree attributes in a crop-livestock-forest system. Land, v. 11, p. 1-15, 2022Tradução . . Disponível em: https://doi.org/10.3390/land11040507. Acesso em: 15 nov. 2024.
APA
Dalla Corte, A. P., Vasconcellos, B. N. de, Rex, F. E., Sanquetta, C. R., Mohan, M., Silva, C. A., et al. (2022). Applying high-resolution UAV-LiDAR and quantitative structure modelling for estimating tree attributes in a crop-livestock-forest system. Land, 11, 1-15. doi:10.3390/land11040507
NLM
Dalla Corte AP, Vasconcellos BN de, Rex FE, Sanquetta CR, Mohan M, Silva CA, Klauberg C, Almeida DRA de, Zambrano AMA, Trautenmüller JW, Leite RV, Amaral CH do, Veras HFP, Rocha K da S, Moraes A de, Karasinski MA, Sanquetta MNI, Broadbent EN. Applying high-resolution UAV-LiDAR and quantitative structure modelling for estimating tree attributes in a crop-livestock-forest system [Internet]. Land. 2022 ; 11 1-15.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/land11040507
Vancouver
Dalla Corte AP, Vasconcellos BN de, Rex FE, Sanquetta CR, Mohan M, Silva CA, Klauberg C, Almeida DRA de, Zambrano AMA, Trautenmüller JW, Leite RV, Amaral CH do, Veras HFP, Rocha K da S, Moraes A de, Karasinski MA, Sanquetta MNI, Broadbent EN. Applying high-resolution UAV-LiDAR and quantitative structure modelling for estimating tree attributes in a crop-livestock-forest system [Internet]. Land. 2022 ; 11 1-15.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/land11040507
Artigo de periodico
Individual tree attribute estimation and uniformity assessment in fast-growing eucalyptus spp. Forest plantations using lidar and linear mixed-effects models (2020)
Leite, R. V; Silva, C. A; Mohan, M; Cardil, A; Almeida, Danilo Roberti Alves de ; Carvalho, S. P. C. de
Source: Remote Sensing. Unidade: ESALQ
Subjects: CARBONO, DENDROMETRIA, EUCALIPTO, INVENTÁRIO FLORESTAL, MODELOS MATEMÁTICOS, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LEITE, R. V et al. Individual tree attribute estimation and uniformity assessment in fast-growing eucalyptus spp. Forest plantations using lidar and linear mixed-effects models. Remote Sensing, v. 12, p. 1-20, 2020Tradução . . Disponível em: https://doi.org/10.3390/rs12213599. Acesso em: 15 nov. 2024.
APA
Leite, R. V., Silva, C. A., Mohan, M., Cardil, A., Almeida, D. R. A. de, & Carvalho, S. P. C. de. (2020). Individual tree attribute estimation and uniformity assessment in fast-growing eucalyptus spp. Forest plantations using lidar and linear mixed-effects models. Remote Sensing, 12, 1-20. doi:10.3390/rs12213599
NLM
Leite RV, Silva CA, Mohan M, Cardil A, Almeida DRA de, Carvalho SPC de. Individual tree attribute estimation and uniformity assessment in fast-growing eucalyptus spp. Forest plantations using lidar and linear mixed-effects models [Internet]. Remote Sensing. 2020 ; 12 1-20.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/rs12213599
Vancouver
Leite RV, Silva CA, Mohan M, Cardil A, Almeida DRA de, Carvalho SPC de. Individual tree attribute estimation and uniformity assessment in fast-growing eucalyptus spp. Forest plantations using lidar and linear mixed-effects models [Internet]. Remote Sensing. 2020 ; 12 1-20.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/rs12213599
Artigo de periodico
Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes (2020)
Corte, Ana Paula Dalla; Souza, Deivison Venicio; Rex, Franciel Eduardo; Sanquetta, Carlos Roberto; Mohan, Midhun ; Silva, Carlos Alberto; Zambrano, Angelica Maria Almeyda; Prata, Gabriel; Almeida, Danilo Roberti Alves de ; Trautenmüller, Jonathan William; Klauberg, Carine; Moraes, Anibal de; Sanquetta, Mateus N; Wilkinson, Ben; Broadbent, Eben North
Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: AERONAVES NÃO TRIPULADAS, APRENDIZADO COMPUTACIONAL, ÁRVORES FLORESTAIS, FLORESTAS, INVENTÁRIO FLORESTAL, REDES NEURAIS, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORTE, Ana Paula Dalla et al. Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes. Computers and Electronics in Agriculture, v. 179, p. 1-14, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2020.105815. Acesso em: 15 nov. 2024.
APA
Corte, A. P. D., Souza, D. V., Rex, F. E., Sanquetta, C. R., Mohan, M., Silva, C. A., et al. (2020). Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes. Computers and Electronics in Agriculture, 179, 1-14. doi:10.1016/j.compag.2020.105815
NLM
Corte APD, Souza DV, Rex FE, Sanquetta CR, Mohan M, Silva CA, Zambrano AMA, Prata G, Almeida DRA de, Trautenmüller JW, Klauberg C, Moraes A de, Sanquetta MN, Wilkinson B, Broadbent EN. Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes [Internet]. Computers and Electronics in Agriculture. 2020 ; 179 1-14.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2020.105815
Vancouver
Corte APD, Souza DV, Rex FE, Sanquetta CR, Mohan M, Silva CA, Zambrano AMA, Prata G, Almeida DRA de, Trautenmüller JW, Klauberg C, Moraes A de, Sanquetta MN, Wilkinson B, Broadbent EN. Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes [Internet]. Computers and Electronics in Agriculture. 2020 ; 179 1-14.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2020.105815

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