15 referências similares foram encontradas(inclusive a original) buscando em 9 dentre 9 Arquivos
(este total pode incluir algumas duplicatas - para ver a conta certa clique no botão Mostrar Todas).
As 10 mais recentes estão listadas abaixo.
Data e hora local de busca: 25/04/2024 05:01.
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Almeida:2020:InLiHy Almeida, C. T. :2020: Integration of LiDAR and hyperspectral data for forest disturbance characterization and aboveground biomass estimation in the Brazilian Amazon 
metadados (BibTeX ❘ Refer ❘ Como citar? ❘ XML ❘ xrefer ❘ oai_dc ❘ mtd2-br ❘ Capa) <mtc-m21c.sid.inpe.br> |
SallesCampShig:2022:AuPoEs
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Salles, R. N.; Campos Velho, H. F. & Shiguemori, E. H. :2022: Automatic Position Estimation Based on Lidar × Lidar Data for Autonomous Aerial Navigation in the Amazon Forest Region
metadados (BibTeX ❘ Refer ❘ Como citar? ❘ XML ❘ xrefer ❘ oai_dc ❘ Capa) <mtc-m21d.sid.inpe.br> |
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SilvaDuHaKlHuDu:2019:FoPlBr Silva, C. A., et al. :2019: Estimating forest attributes in industrial Pinus taeda L. forest plantations in Brazil using simulated NASA's GEDI spaceborne LiDAR data
metadados (BibTeX ❘ Refer ❘ Como citar? ❘ XML ❘ xrefer ❘ oai_dc ❘ Capa) <marte2.sid.inpe.br> |
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DalagnolBSWSFOS:2023:QuCaLo Dalagnol, R., et al. :2023: Quantifying carbon loss at forests degraded by logging with repeated airborne Lidar data in the Brazilian Amazon
metadados (BibTeX ❘ Refer ❘ Como citar? ❘ XML ❘ xrefer ❘ oai_dc ❘ Capa) Você tem um material suplementar? Submeta-o > Vídeo, Slides, Dados, Outro, <marte2.sid.inpe.br> |
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BragaArAnDuCaDa:2023:StCaJa Braga, D., et al. :2023: Quantifying selective logging intensity through airborne LiDAR data in an Amazon rainforest: study case at Jamari National Forest
metadados (BibTeX ❘ Refer ❘ Como citar? ❘ XML ❘ xrefer ❘ oai_dc ❘ Capa) Você tem um material suplementar? Submeta-o > Vídeo, Slides, Dados, Outro, <mtc-m16c.sid.inpe.br> |
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SilvaWaEmStGaOmAr:2022:CaPaCo
acesso restrito
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Silva, R. D., et al. :2022: Canopy palm cover across the Brazilian Amazon forests mapped with airborne LiDAR data and deep learning
metadados (BibTeX ❘ Refer ❘ Como citar? ❘ XML ❘ xrefer ❘ oai_dc ❘ Capa) <mtc-m21d.sid.inpe.br> |
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SotheAlmeSchiLies:2018:CoMaLe Sothe, C., et al. :2018: Integration of worldview-2 and lidar data to map a subtropical forest area: comparison of machine learning algorithms
metadados (BibTeX ❘ Refer ❘ Como citar? ❘ XML ❘ xrefer ❘ oai_dc ❘ Capa) <mtc-m21c.sid.inpe.br> |
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DevriendtCoWuBeKeVaMo:2012:ClUnFo Devriendt, F., et al. :2012: Classification of unmanaged forest reserves in Flanders (Belgium) at the tree crown level using airborne hyperspectral and LiDAR data
metadados (BibTeX ❘ Refer ❘ Como citar? ❘ XML ❘ xrefer ❘ oai_dc ❘ Capa) <mtc-m16c.sid.inpe.br> |
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SilvaWGSPGPOA:2021:LaVaDy
acesso restrito
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Silva, R. D., et al. :2021: Large-scale variations in the dynamics of Amazon forest canopy gaps from airborne lidar data and opportunities for tree mortality estimates
metadados (BibTeX ❘ Refer ❘ Como citar? ❘ XML ❘ xrefer ❘ oai_dc ❘ Capa) <mtc-m21c.sid.inpe.br> |
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MouraBGDESGBOS:2020:CaStUs
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Moura, Y. M., et al. :2020: Carbon dynamics in a human-modified tropical forest: a case study using multi-temporal LiDAR data
metadados (BibTeX ❘ Refer ❘ Como citar? ❘ XML ❘ xrefer ❘ oai_dc ❘ Capa) <mtc-m21c.sid.inpe.br> |