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Artigo de periodico
Treetop: A Shiny-based application and R package for extracting forest information from LiDAR data for ecologists and conservationists (2022)
Silva, Carlos Alberto; Hudak, Andrew T; Vierling, Lee A; Valbuena, Ruben; Cardil, Adrian; Mohan, Midhun; Almeida, Danilo Roberti Alves de ; Broadbent, Eben North ; Zambrano, Angelica M. Almeyda; Wilkinson, Ben; Sharma, Ajay; Drake, Jason B; Medley, Paul B; Vogel, Jason G; Prata, Gabriel Atticciati; Atkins, Jeff W; Hamamura, Caio; Johnson, Daniel J; Klauberg, Carine
Fonte: Methods in Ecology and Evolution. Unidade: ESALQ
Assuntos: ÁRVORES FLORESTAIS, DISTRIBUIÇÃO ESPACIAL, DOSSEL (BOTÂNICA), R (SOFTWARE ESTATÍSTICO), TECNOLOGIA LIDAR
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ABNT
SILVA, Carlos Alberto et al. Treetop: A Shiny-based application and R package for extracting forest information from LiDAR data for ecologists and conservationists. Methods in Ecology and Evolution, v. 13, 2022Tradução . . Disponível em: https://doi.org/10.1111/2041-210X.13830. Acesso em: 15 nov. 2024.
APA
Silva, C. A., Hudak, A. T., Vierling, L. A., Valbuena, R., Cardil, A., Mohan, M., et al. (2022). Treetop: A Shiny-based application and R package for extracting forest information from LiDAR data for ecologists and conservationists. Methods in Ecology and Evolution, 13. doi:10.1111/2041-210X.13830
NLM
Silva CA, Hudak AT, Vierling LA, Valbuena R, Cardil A, Mohan M, Almeida DRA de, Broadbent EN, Zambrano AMA, Wilkinson B, Sharma A, Drake JB, Medley PB, Vogel JG, Prata GA, Atkins JW, Hamamura C, Johnson DJ, Klauberg C. Treetop: A Shiny-based application and R package for extracting forest information from LiDAR data for ecologists and conservationists [Internet]. Methods in Ecology and Evolution. 2022 ;13[citado 2024 nov. 15 ] Available from: https://doi.org/10.1111/2041-210X.13830
Vancouver
Silva CA, Hudak AT, Vierling LA, Valbuena R, Cardil A, Mohan M, Almeida DRA de, Broadbent EN, Zambrano AMA, Wilkinson B, Sharma A, Drake JB, Medley PB, Vogel JG, Prata GA, Atkins JW, Hamamura C, Johnson DJ, Klauberg C. Treetop: A Shiny-based application and R package for extracting forest information from LiDAR data for ecologists and conservationists [Internet]. Methods in Ecology and Evolution. 2022 ;13[citado 2024 nov. 15 ] Available from: https://doi.org/10.1111/2041-210X.13830
Artigo de periodico
Beyond trees: mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data (2021)
Costa, Máira Beatriz Teixeira da; Silva, Carlos Alberto; Broadbent, Eben North ; Leite, Rodrigo Vieira; Mohan, Midhun; Liesenberg, Veraldo; Stoddart, Jaz; Amaral, Cibele Hummel do; Almeida, Danilo Roberti Alves de ; Silva, Anne Laura da; Ré Y. Goya, Lucas Ruggeri; Cordeiro, Victor Almeida; Rex, Franciel; Hirsch, Andre; Marcatti, Gustavo Eduardo; Cardil, Adrian; Mendonça, Bruno Araujo Furtado de; Hamamura, Caio; Corte, Ana Paula Dalla; Matricardi, Eraldo Aparecido Trondoli; Hudak, Andrew T; Zambrano, Angelica Maria Almeyda; Valbuena, Ruben; Faria, Bruno Lopes de; Silva Junior, Celso H.L; Aragao, Luiz; Ferreira, Manuel Eduardo; Liang, Jingjing; Carvalho, Samuel de Pádua Chaves e; Klauberg, Carine
Fonte: Forest Ecology and Management. Unidade: ESALQ
Assuntos: ÁRVORES, BIOMASSA, CERRADO, ECOSSISTEMAS SAVÂNICOS, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR, VEGETAÇÃO
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COSTA, Máira Beatriz Teixeira da et al. Beyond trees: mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data. Forest Ecology and Management, v. 491, p. 1-15, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.foreco.2021.119155. Acesso em: 15 nov. 2024.
APA
Costa, M. B. T. da, Silva, C. A., Broadbent, E. N., Leite, R. V., Mohan, M., Liesenberg, V., et al. (2021). Beyond trees: mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data. Forest Ecology and Management, 491, 1-15. doi:10.1016/j.foreco.2021.119155
NLM
Costa MBT da, Silva CA, Broadbent EN, Leite RV, Mohan M, Liesenberg V, Stoddart J, Amaral CH do, Almeida DRA de, Silva AL da, Ré Y. Goya LR, Cordeiro VA, Rex F, Hirsch A, Marcatti GE, Cardil A, Mendonça BAF de, Hamamura C, Corte APD, Matricardi EAT, Hudak AT, Zambrano AMA, Valbuena R, Faria BL de, Silva Junior CHL, Aragao L, Ferreira ME, Liang J, Carvalho S de PC e, Klauberg C. Beyond trees: mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data [Internet]. Forest Ecology and Management. 2021 ; 491 1-15.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.foreco.2021.119155
Vancouver
Costa MBT da, Silva CA, Broadbent EN, Leite RV, Mohan M, Liesenberg V, Stoddart J, Amaral CH do, Almeida DRA de, Silva AL da, Ré Y. Goya LR, Cordeiro VA, Rex F, Hirsch A, Marcatti GE, Cardil A, Mendonça BAF de, Hamamura C, Corte APD, Matricardi EAT, Hudak AT, Zambrano AMA, Valbuena R, Faria BL de, Silva Junior CHL, Aragao L, Ferreira ME, Liang J, Carvalho S de PC e, Klauberg C. Beyond trees: mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data [Internet]. Forest Ecology and Management. 2021 ; 491 1-15.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.foreco.2021.119155
Artigo de periodico
Recent deforestation drove the spike in Amazonian fires (2020)
Cardil, Adrian ; de-Miguel, Sergio ; Silva, Carlos A ; Reich, Peter B; Calkin, David; Brancalion, Pedro Henrique Santin ; Vibrans, Alexander C ; Gamarra, Javier G P ; Zhou, M; Pijanowski, Bryan C; Hui, Cang; Crowther, Thomas W; Hérault, Bruno; Piotto, Daniel ; Salas-Eljatib, Christian ; Broadbent, Eben North ; Almeyda Zambrano, Angelica M; Picard, Nicolas; Aragão, Luiz E O C; Bastin, Jean-Francois; Routh, Devin; van den Hoogen, Johan ; Peri, Pablo L; Liang, Jingjing
Fonte: Environmental Research Letters. Unidade: ESALQ
Assuntos: DESMATAMENTO, FLORESTAS TROPICAIS, INCÊNDIOS FLORESTAIS, POLÍTICA FLORESTAL, USO DO SOLO, AMAZÔNIA
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CARDIL, Adrian et al. Recent deforestation drove the spike in Amazonian fires. Environmental Research Letters, v. 15, p. 1-5, 2020Tradução . . Disponível em: https://doi.org/10.1088/1748-9326/abcac7. Acesso em: 15 nov. 2024.
APA
Cardil, A., de-Miguel, S., Silva, C. A., Reich, P. B., Calkin, D., Brancalion, P. H. S., et al. (2020). Recent deforestation drove the spike in Amazonian fires. Environmental Research Letters, 15, 1-5. doi:10.1088/1748-9326/abcac7
NLM
Cardil A, de-Miguel S, Silva CA, Reich PB, Calkin D, Brancalion PHS, Vibrans AC, Gamarra JGP, Zhou M, Pijanowski BC, Hui C, Crowther TW, Hérault B, Piotto D, Salas-Eljatib C, Broadbent EN, Almeyda Zambrano AM, Picard N, Aragão LEOC, Bastin J-F, Routh D, van den Hoogen J, Peri PL, Liang J. Recent deforestation drove the spike in Amazonian fires [Internet]. Environmental Research Letters. 2020 ; 15 1-5.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1088/1748-9326/abcac7
Vancouver
Cardil A, de-Miguel S, Silva CA, Reich PB, Calkin D, Brancalion PHS, Vibrans AC, Gamarra JGP, Zhou M, Pijanowski BC, Hui C, Crowther TW, Hérault B, Piotto D, Salas-Eljatib C, Broadbent EN, Almeyda Zambrano AM, Picard N, Aragão LEOC, Bastin J-F, Routh D, van den Hoogen J, Peri PL, Liang J. Recent deforestation drove the spike in Amazonian fires [Internet]. Environmental Research Letters. 2020 ; 15 1-5.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1088/1748-9326/abcac7
Artigo de periodico
Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data (2020)
Rex, Franciel Eduardo; Silva, Carlos Alberto; Dalla Corte, Ana Paula; Klauberg, Carine; Mohan, Midhun ; Cardil, Adrian ; Silva, Vanessa Sousa da; Almeida, Danilo Roberti Alves de ; Garcia, Mariano; Broadbent, Eben North ; Valbuena, Ruben; Stoddart, Jaz; Merrick, Trina; Hudak, Andrew Thomas
Fonte: Remote Sensing. Unidade: ESALQ
Assuntos: BIOMASSA, FLORESTAS TROPICAIS, MADEIRA, MODELAGEM DE DADOS, SENSORIAMENTO REMOTO, SEQUESTRO DE CARBONO, TECNOLOGIA LIDAR
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ABNT
REX, Franciel Eduardo et al. Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data. Remote Sensing, v. 12, n. 1498, p. 1-20, 2020Tradução . . Disponível em: https://doi.org/10.3390/rs12091498. Acesso em: 15 nov. 2024.
APA
Rex, F. E., Silva, C. A., Dalla Corte, A. P., Klauberg, C., Mohan, M., Cardil, A., et al. (2020). Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data. Remote Sensing, 12( 1498), 1-20. doi:10.3390/rs12091498
NLM
Rex FE, Silva CA, Dalla Corte AP, Klauberg C, Mohan M, Cardil A, Silva VS da, Almeida DRA de, Garcia M, Broadbent EN, Valbuena R, Stoddart J, Merrick T, Hudak AT. Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data [Internet]. Remote Sensing. 2020 ; 12( 1498): 1-20.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/rs12091498
Vancouver
Rex FE, Silva CA, Dalla Corte AP, Klauberg C, Mohan M, Cardil A, Silva VS da, Almeida DRA de, Garcia M, Broadbent EN, Valbuena R, Stoddart J, Merrick T, Hudak AT. Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data [Internet]. Remote Sensing. 2020 ; 12( 1498): 1-20.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/rs12091498
Artigo de periodico
Emerging threats linking tropical deforestation and the COVID-19 pandemic (2020)
Brancalion, Pedro Henrique Santin ; Broadbent, Eben North ; de-Miguel, Sergio; Cardil, Adrián; Rosa, Marcos R; Almeida, Catherine T ; Almeida, Danilo R. A ; Chakravarty, Shourish; Zhou, Mo; Gamarra, Javier G. P; Liang, Jingjing; Crouzeilles, Renato; Hérault, Bruno; Aragão, Luiz E. O. C; Silva, Carlos Alberto; Almeyda-Zambrano, Angelica M
Fonte: Perspectives in Ecology and Conservation. Unidades: ESALQ, FFLCH
Assuntos: COVID-19, DESMATAMENTO, FLORESTAS TROPICAIS, INFECÇÕES POR CORONAVIRUS, POLÍTICA AMBIENTAL, USO DO SOLO, ZOONOSES
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ABNT
BRANCALION, Pedro Henrique Santin et al. Emerging threats linking tropical deforestation and the COVID-19 pandemic. Perspectives in Ecology and Conservation, v. 18, p. 243–246, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.pecon.2020.09.006. Acesso em: 15 nov. 2024.
APA
Brancalion, P. H. S., Broadbent, E. N., de-Miguel, S., Cardil, A., Rosa, M. R., Almeida, C. T., et al. (2020). Emerging threats linking tropical deforestation and the COVID-19 pandemic. Perspectives in Ecology and Conservation, 18, 243–246. doi:10.1016/j.pecon.2020.09.006
NLM
Brancalion PHS, Broadbent EN, de-Miguel S, Cardil A, Rosa MR, Almeida CT, Almeida DRA, Chakravarty S, Zhou M, Gamarra JGP, Liang J, Crouzeilles R, Hérault B, Aragão LEOC, Silva CA, Almeyda-Zambrano AM. Emerging threats linking tropical deforestation and the COVID-19 pandemic [Internet]. Perspectives in Ecology and Conservation. 2020 ;18 243–246.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.pecon.2020.09.006
Vancouver
Brancalion PHS, Broadbent EN, de-Miguel S, Cardil A, Rosa MR, Almeida CT, Almeida DRA, Chakravarty S, Zhou M, Gamarra JGP, Liang J, Crouzeilles R, Hérault B, Aragão LEOC, Silva CA, Almeyda-Zambrano AM. Emerging threats linking tropical deforestation and the COVID-19 pandemic [Internet]. Perspectives in Ecology and Conservation. 2020 ;18 243–246.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.pecon.2020.09.006
Artigo de periodico
Measuring Individual Tree Diameter and Height Using GatorEye High-Density UAV-Lidar in an Integrated Crop-Livestock-Forest System (2020)
Dalla Corte, Ana Paula; Rex, Franciel Eduardo; Almeida, Danilo Roberti Alves de ; Sanquetta, Carlos Roberto; Silva, Carlos A; Moura, Marks M; Wilkinson, Ben; Zambrano, Angelica Maria Almeyda; Cunha Neto, Ernandes M. da; Veras, Hudson F. P; Moraes, Anibal de; Klauberg, Carine; Mohan, Midhun ; Cardil, Adrian ; Broadbent, Eben North
Fonte: Remote Sensing. Unidade: ESALQ
Assuntos: TECNOLOGIA LIDAR, DENDROMETRIA, EUCALIPTO, MANEJO FLORESTAL, SISTEMAS AGROSSILVIPASTORIS
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ABNT
DALLA CORTE, Ana Paula et al. Measuring Individual Tree Diameter and Height Using GatorEye High-Density UAV-Lidar in an Integrated Crop-Livestock-Forest System. Remote Sensing, v. 12, p. 1-15, 2020Tradução . . Disponível em: https://doi.org/10.3390/rs12050863. Acesso em: 15 nov. 2024.
APA
Dalla Corte, A. P., Rex, F. E., Almeida, D. R. A. de, Sanquetta, C. R., Silva, C. A., Moura, M. M., et al. (2020). Measuring Individual Tree Diameter and Height Using GatorEye High-Density UAV-Lidar in an Integrated Crop-Livestock-Forest System. Remote Sensing, 12, 1-15. doi:10.3390/rs12050863
NLM
Dalla Corte AP, Rex FE, Almeida DRA de, Sanquetta CR, Silva CA, Moura MM, Wilkinson B, Zambrano AMA, Cunha Neto EM da, Veras HFP, Moraes A de, Klauberg C, Mohan M, Cardil A, Broadbent EN. Measuring Individual Tree Diameter and Height Using GatorEye High-Density UAV-Lidar in an Integrated Crop-Livestock-Forest System [Internet]. Remote Sensing. 2020 ; 12 1-15.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/rs12050863
Vancouver
Dalla Corte AP, Rex FE, Almeida DRA de, Sanquetta CR, Silva CA, Moura MM, Wilkinson B, Zambrano AMA, Cunha Neto EM da, Veras HFP, Moraes A de, Klauberg C, Mohan M, Cardil A, Broadbent EN. Measuring Individual Tree Diameter and Height Using GatorEye High-Density UAV-Lidar in an Integrated Crop-Livestock-Forest System [Internet]. Remote Sensing. 2020 ; 12 1-15.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/rs12050863
Artigo de periodico
Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data (2020)
Silva, Vanessa Sousa da; Silva, Carlos Alberto; Mohan, Midhun ; Cardil, Adrian ; Rex, Franciel Eduardo; Loureiro, Gabrielle Hambrecht; Almeida, Danilo Roberti Alves de ; Broadbent, Eben North ; Gorgens, Eric Bastos; Dalla Corte, Ana Paula; Silva, Emanuel Araújo; Valbuena, Rubén; Klauberg, Carine
Fonte: Remote Sensing. Unidade: ESALQ
Assuntos: ALGORITMOS, AMOSTRAGEM, APRENDIZADO COMPUTACIONAL, DENDROMETRIA, EUCALIPTO, MODELAGEM DE DADOS, TECNOLOGIA LIDAR
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ABNT
SILVA, Vanessa Sousa da et al. Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data. Remote Sensing, v. 12, p. 1-19, 2020Tradução . . Disponível em: https://doi.org/10.3390/rs12091438. Acesso em: 15 nov. 2024.
APA
Silva, V. S. da, Silva, C. A., Mohan, M., Cardil, A., Rex, F. E., Loureiro, G. H., et al. (2020). Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data. Remote Sensing, 12, 1-19. doi:10.3390/rs12091438
NLM
Silva VS da, Silva CA, Mohan M, Cardil A, Rex FE, Loureiro GH, Almeida DRA de, Broadbent EN, Gorgens EB, Dalla Corte AP, Silva EA, Valbuena R, Klauberg C. Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data [Internet]. Remote Sensing. 2020 ; 12 1-19.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/rs12091438
Vancouver
Silva VS da, Silva CA, Mohan M, Cardil A, Rex FE, Loureiro GH, Almeida DRA de, Broadbent EN, Gorgens EB, Dalla Corte AP, Silva EA, Valbuena R, Klauberg C. Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data [Internet]. Remote Sensing. 2020 ; 12 1-19.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/rs12091438
Artigo de periodico
A new era in forest restoration monitoring (2019)
Almeida, Danilo Roberti Alves de ; Stark, Scott C; Valbuena, Ruben; Broadbent, Eben North ; Silva, Thiago S. F; Resende, Angelica F. de; Ferreira, Matheus P; Cardil, Adrian; Silva, Carlos A; Amazonas, Nino Tavares ; Zambrano, Angelica M. A; Brancalion, Pedro Henrique Santin
Fonte: Restoration Ecology. Unidade: ESALQ
Assuntos: ECOLOGIA DA RESTAURAÇÃO, FLORESTAS, MONITORAMENTO AMBIENTAL, SENSORIAMENTO REMOTO
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ABNT
ALMEIDA, Danilo Roberti Alves de et al. A new era in forest restoration monitoring. Restoration Ecology, p. 1-4, 2019Tradução . . Disponível em: https://doi.org/10.1111/rec.13067. Acesso em: 15 nov. 2024.
APA
Almeida, D. R. A. de, Stark, S. C., Valbuena, R., Broadbent, E. N., Silva, T. S. F., Resende, A. F. de, et al. (2019). A new era in forest restoration monitoring. Restoration Ecology, 1-4. doi:10.1111/rec.13067
NLM
Almeida DRA de, Stark SC, Valbuena R, Broadbent EN, Silva TSF, Resende AF de, Ferreira MP, Cardil A, Silva CA, Amazonas NT, Zambrano AMA, Brancalion PHS. A new era in forest restoration monitoring [Internet]. Restoration Ecology. 2019 ; 1-4.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1111/rec.13067
Vancouver
Almeida DRA de, Stark SC, Valbuena R, Broadbent EN, Silva TSF, Resende AF de, Ferreira MP, Cardil A, Silva CA, Amazonas NT, Zambrano AMA, Brancalion PHS. A new era in forest restoration monitoring [Internet]. Restoration Ecology. 2019 ; 1-4.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1111/rec.13067

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