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Dominant Trees Analysis Using UAV LiDAR and Photogrammetry

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
Dominant trees compose the upper story of forest canopies, and are one of the key factors that affect the light redistribution for forest ecosystem. UAV lidar and photogrammetry can be used to measure spatial variation of upper crowns of dominant trees with details.
Qingwang Liu   +3 more
openaire   +1 more source

A Shortest Path Based Tree Isolation Method for UAV LiDAR Data

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
A description and test results for a new method for automatically isolating individual trees from UAV LiDAR point clouds is presented. The isolation method is based on shortest path computations with height from the ground working as a restriction. The method is tested on a 4 ha tropical forest plot, which is also scanned with TLS to provide comparison
Raumonen, Pasi   +3 more
openaire   +2 more sources

UAV–LiDAR accuracy in vegetated terrain

Journal of Unmanned Vehicle Systems, 2018
We examined the horizontal and vertical accuracy of LiDAR data acquired from an unmanned aerial vehicle (UAV) at a field site with six vegetation types: coniferous trees, deciduous trees, short grass (0–0.3 m height), tall grass (>0.3 m height), short shrubs (0–1 m height), and tall shrubs (>1 m height).
Maja Kucharczyk   +2 more
openaire   +1 more source

Lightweight CFRC telescope for UAV lidar

SPIE Proceedings, 2000
The UAV platform is ideal for remote sensing. A powerful remote sensing tool is a laser based lidar system. Two significant constraints on this platform are the size and mass of payloads. An additional constraint is the opto-mechanical precision required for a diffraction limited lidar telescope.
Brian E. Catanzaro   +3 more
openaire   +1 more source

Potential of UAV lidar systems for geospatial mapping

Lidar Remote Sensing for Environmental Monitoring 2017, 2017
Recently, developments in airborne sensors and easy to fly, reliable, low-cost commercial Unmanned Aerial Vehicles, UAVs, have opened a new era for high quality and reliable mapping from UAVs using remote sensing techniques. The restricted payload capacity of low-cost UAVs imposes constraints on the quality of their navigation systems and the sensors ...
Rachel Lauf   +3 more
openaire   +1 more source

UAV LiDAR for below-canopy forest surveys

Journal of Unmanned Vehicle Systems, 2013
Remote sensing tools are increasingly being used to survey forest structure. Most current methods rely on GPS signals, which are available in above-canopy surveys or in below-canopy surveys of open forests, but may be absent in below-canopy environments of dense forests.
Ryan A. Chisholm   +3 more
openaire   +1 more source

Forest height estimation based on uav lidar simulated waveform

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
The accurate estimation of forest height is very important for understanding forest biomass and forest vertical structures. To investigate the potentials of forest height mapping for future Chinese satellite mission concepts with a waveform Lidar system onboard, a field campaign was designed and implemented in Weihe forest farm, Northeastern China in ...
Bowei Chen 0002   +6 more
openaire   +2 more sources

UAV lidar: from volcanoes to forests

Improvements in miniaturization and affordability of lidar technology, mainly due to innovation in self-driving cars, means that UAV lidar is now an accessible option for geoscience research. We present applications in which UAV lidar contributes to data collection in ways that would otherwise not be possible in the time frame, budget, and/or with the ...
Mel Rodgers   +7 more
openaire   +1 more source

From UAV Lidar and Magnetic Data to Geological Mapping

First EAGE Workshop on Unmanned Aerial Vehicles, 2019
Summary CVA Airborne, an alliance between the INFOGEO start-up, specialized in the acquisition and processing of data from drones and the CA group, expert in integrated studies in geosciences, combines drones and miniaturized sensors and develops a methodology for use to produce very high resolution topographic (lidar) and geophysics (magnetics and ...
E. Pizzo, C. Rigollet
openaire   +1 more source

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