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1. Distinguishing forest types in restored tropical landscapes with UAV-borne LIDAR

   https://doi.org/10.1016/j.rse.2023.113533  

   Scheeres, Janneke ; de Jong, Johan ; Brede, Benjamin ; Brancalion, Pedro H.S. ; Broadbent, Eben Noth ; Zambrano, Angelica Maria ; Gorgens, Eric Bastos ; Silva, Carlos Alberto ; Valbuena, Ruben ; Molin, Paulo ; et al ( May 2023 , Remote Sensing of Environment)
2. Estimating mussel mound distribution and geometric properties in coastal salt marshes by using UAV-Lidar point clouds

   https://doi.org/10.1016/j.scitotenv.2023.163707  

   Pinton, Daniele ; Canestrelli, Alberto ; Williams, Sydney ; Angelini, Christine ; Wilkinson, Benjamin ( July 2023 , Science of The Total Environment)
3. Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion

   https://doi.org/10.1016/j.rse.2021.112582  

   Almeida, Danilo Roberti ; Broadbent, Eben North ; Ferreira, Matheus Pinheiro ; Meli, Paula ; Zambrano, Angelica Maria ; Gorgens, Eric Bastos ; Resende, Angelica Faria ; de Almeida, Catherine Torres ; do Amaral, Cibele Hummel ; Corte, Ana Paula ; et al ( October 2021 , Remote Sensing of Environment)
4. UAV LiDAR Survey for Archaeological Documentation in Chiapas, Mexico

   https://doi.org/10.3390/rs13234731  

   Schroder, Whittaker ; Murtha, Timothy ; Golden, Charles ; Scherer, Andrew K. ; Broadbent, Eben N. ; Almeyda Zambrano, Angélica M. ; Herndon, Kelsey ; Griffin, Robert ( December 2021 , Remote Sensing)

   Airborne laser scanning has proven useful for rapid and extensive documentation of historic cultural landscapes after years of applications mapping natural landscapes and the built environment. The recent integration of unoccupied aerial vehicles (UAVs) with LiDAR systems is potentially transformative and offers complementary data for mapping targeted areas with high precision and systematic study of coupled natural and human systems. We report the results of data capture, analysis, and processing of UAV LiDAR data collected in the Maya Lowlands of Chiapas, Mexico in 2019 for a comparative landscape study. Six areas of archaeological settlement and long-term land-use reflecting a diversity of environments, land cover, and archaeological features were studied. These missions were characterized by areas that were variably forested, rugged, or flat, and included pre-Hispanic settlements and agrarian landscapes. Our study confirms that UAV LiDAR systems have great potential for broader application in high-precision archaeological mapping applications. We also conclude that these studies offer an important opportunity for multi-disciplinary collaboration. UAV LiDAR offers high-precision information that is not only useful for mapping archaeological features, but also provides critical information about long-term land use and landscape change in the context of archaeological resources. 

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5. LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 2: Applications to lidar measurements of wind turbine wakes

   https://doi.org/10.5194/amt-14-2095-2021  

   Letizia, Stefano ; Zhan, Lu ; Iungo, Giacomo Valerio ( January 2021 , Atmospheric Measurement Techniques)

   null (Ed.)

   Abstract. The LiDAR Statistical Barnes Objective Analysis (LiSBOA), presented in Letizia et al. (2021), is a procedure for the optimal design of lidar scans and calculations over a Cartesian grid of the statistical moments of the velocity field. Lidar data collected during a field campaign conducted at a wind farm in complex terrain are analyzed through LiSBOA for two different tests. For both case studies, LiSBOA is leveraged for the optimization of the azimuthal step of the lidar and the retrieval of the mean equivalent velocity and turbulence intensity fields. In the first case, the wake velocity statistics of four utility-scale turbines are reconstructed on a 3D grid, showing LiSBOA's ability to capture complex flow features, such as high-speed jets around the nacelle and the wake turbulent-shear layers. For the second case, the statistics of the wakes generated by four interacting turbines are calculated over a 2D Cartesian grid and compared to the measurements provided by the nacelle-mounted anemometers. Maximum discrepancies, as low as 3 % for the mean velocity (with respect to the free stream velocity) and turbulence intensity (in absolute terms), endorse the application of LiSBOA for lidar-based wind resource assessment and diagnostic surveys for wind farms. 

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