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

DOI

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.

First-order data are Lidar point clouds in .LAS file format. Second-order data products (e.g. canopy height model, vertical complexity index, elevation quantiles, digital terrain models) are provided in .TIFF format. Individual tree crown segments are populated with second-order information in .SHP file format. Further information are provided in the detailed ReadMe file.This data was collected during the international joint Russian-German expedition 'RU-Land_2021_Yakutia' in collaboration between the Alfred-Wegener-Institute, Helmholtz Centre for Polar and Marine Research in Potsdam, and the North-Eastern Federal University of Yakutsk, with UAV flight support by the Technical University Berlin. Additional funding for equipment was provided by the "Potsdamer InnoLab für Arktisforschung" grant no. F221-08-AWI/001/002, namely the Brandenburg Ministry for Science, Research and Culture.

Identifier
DOI https://doi.org/10.1594/PANGAEA.957253
Related Identifier IsSupplementTo https://doi.org/10.57738/BzPM_0772_2023
Related Identifier References https://doi.org/10.1594/PANGAEA.958188
Related Identifier References https://doi.org/10.1594/PANGAEA.957255
Related Identifier References https://doi.org/10.1594/PANGAEA.958184
Related Identifier References https://doi.org/10.1594/PANGAEA.943547
Related Identifier References https://doi.org/10.5194/essd-14-5695-2022
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.957253
Provenance
Creator Kruse, Stefan ORCID logo; Jackisch, Robert ORCID logo; Heim, Birgit ORCID logo; Gloy, Josias; Herzschuh, Ulrike ORCID logo; Kolmogorov, Alexei; Zakharov, Evgenii S; Pestryakova, Luidmila A ORCID logo; Förster, Michael; Kleinschmit, Birgit
Publisher PANGAEA
Publication Year 2023
Funding Reference Ministerium für Wissenschaft, Forschung und Kultur https://doi.org/10.13039/501100004581 Crossref Funder ID F221-08-AWI/001/002 ; Technische Universität Berlin https://doi.org/10.13039/501100006764 Crossref Funder ID BIOS https://www.tu.berlin/en/geoinformation/research/projects/current-projects/bios-1 Bios – Monitoring and modeling of the critical balance of biomass and biodiversity in Siberia using remote sensing methods.
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 48 data points
Discipline Earth System Research
Spatial Coverage (130.385W, 61.761S, 142.967E, 63.446N); Churapchinsky District
Temporal Coverage Begin 2021-08-07T06:58:00Z
Temporal Coverage End 2021-09-02T00:00:00Z