Structure-from-motion (SfM) based point clouds of 21 Forest successional plots from UAV-based high-resolution photogrammetric survey in Central and Eastern Yakutia, Siberia ...

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

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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
UAS
UAV
Online Access:https://dx.doi.org/10.1594/pangaea.958184
https://doi.pangaea.de/10.1594/PANGAEA.958184
Description
Summary:This data set contains the UAV-based multispectral dense point clouds of a forest succession dataset in the context of boreal ecosystems survey. The data provides structural and biophysical information on forest state, structure, disturbance (wildfire, thaw slumps, windfall), thermokarst lake-shore interfaces, among others. The photogrammetric survey was conducted over 21 selected vegetation transects using the Micansense Altum multispectral camera. 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 September 2021 (07.08.2021 - 01.09.2021) along a 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 multispectral imaging at ... : All data products are provided in .LAZ format and stored with RGB colour levels. CloudCompare is recommended for colour level adaption.Funding: 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 Technische Universität 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 and the Strategischer Call 2020 "Pro Nachhaltigkeit" by the Technische Universität Berlin. ...