15 similar references were found(including the original one) looking up in 9 out of 9 Archives
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The 10 most recent ones are listed below.
Search local date and time: 19/04/2024 18:21.
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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 
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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
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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
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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
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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
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SilvaWaEmStGaOmAr:2022:CaPaCo
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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
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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
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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
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SilvaWGSPGPOA:2021:LaVaDy
restricted access
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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
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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
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