Point clouds and high-level data products of 21 Forest successional plots from UAV-based Lidar survey in Central and Eastern Yakutia, Siberia

This data set contains the UAV-based lidar data of a forest succession dataset in the context of boreal ecosystems survey. The data provides structural and biophysical information on forest state, structure, topography, morphology, disturbance (wildfire, thaw slumps, windfall), thermokarst lake-shor...

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Bibliographic Details
Main Authors: Kruse, Stefan, Jackisch, Robert, Heim, Birgit, Gloy, Josias, Herzschuh, Ulrike, Kolmogorov, Alexei, Zakharov, Evgenii S, Pestryakova, Luidmila A, Förster, Michael, Kleinschmit, Birgit
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
CHM
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.957253
https://doi.org/10.1594/PANGAEA.957253
Description
Summary:This data set contains the UAV-based lidar data of a forest succession dataset in the context of boreal ecosystems survey. The data provides structural and biophysical information on forest state, structure, topography, morphology, disturbance (wildfire, thaw slumps, windfall), thermokarst lake-shore interfaces, among others. Main data products are Lidar-based 3D point clouds. Lidar survey was conducted over 21 selected vegetation transects. Each transect (500m by 200m) contains at least one ground vegetation reference plot (https://doi.pangaea.de/10.1594/PANGAEA.943547). The data was acquired in August and early September 2021 (07.08.2021 - 01.09.2021) along an extended 670 km line segment in Central and Eastern Yakutia (Republic of Sakha), Siberia, Russia. The principal study areas are the intramontane Oymyakon region in the Verkhoyansk mountain range near Lake "Ulu", and the central-eastern Yakutian lowlands with a slightly different ecological setting. A transect was covered by UAV-based Lidar at flight heights between 60-100 m above ground level. Subsequent analysis and segmentation algorithms allows single-tree crown and canopy analysis.