High-resolution photogrammetric point clouds from northeast Siberian forest stands. Alfred-Wegener-Institute research expedition "Chukotka 2018"


This dataset features ten ultra-high resolution photogrammetric point clouds from northeast Siberian forest stands. The data has been acquired on the joint research expedition "Chukotka 2018" led by Alfred-Wegener-Institute, Helmholtz Centre for Polar and Marine Research Potsdam, Germany and the Northeastern Federal University of Yakutsk, Russia.The field sites have an approximate size of 50*50 m and are located in different locations accross Chukotka (~67.36° N 168.32° E) and Yakutia (~59.99° N 112.98° E). The forest stands are diverse in tree density, species composition, crown structure, height distribution, and crown cover. The point clouds have been reconstructed from close range UAV-based RGB imagery. The data has been cleaned.Details on the dataset, processing steps and study areas can be found in Brieger et al. (2019).

Supplement to: Brieger, Frederic; Herzschuh, Ulrike; Pestryakova, Luidmila A; Bookhagen, Bodo; Zakharov, Evgenii S; Kruse, Stefan (2019): Advances in the Derivation of Northeast Siberian Forest Metrics Using High-Resolution UAV-Based Photogrammetric Point Clouds. Remote Sensing, 11(12), 1447

DOI https://doi.org/10.1594/PANGAEA.902259
Related Identifier IsSupplementTo https://doi.org/10.3390/rs11121447
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.902259
Creator Brieger, Frederic ORCID logo; Herzschuh, Ulrike ORCID logo; Pestryakova, Luidmila A ORCID logo; Bookhagen, Bodo ORCID logo; Zakharov, Evgenii S; Kruse, Stefan ORCID logo
Publisher PANGAEA
Publication Year 2019
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Resource Type Supplementary Dataset; Dataset
Format text/tab-separated-values
Size 44 data points
Discipline Earth System Research
Spatial Coverage (112.980W, 59.990S, 168.320E, 67.360N)