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).

Data and Resources

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Cite this as

Brieger, Frederic, Herzschuh, Ulrike, Pestryakova, Luidmila A, Bookhagen, Bodo, Zakharov, Evgenii S, Kruse, Stefan (2019). Dataset: High-resolution photogrammetric point clouds from northeast Siberian forest stands. Alfred-Wegener-Institute research expedition "Chukotka 2018". https://doi.org/10.1594/PANGAEA.902259

DOI retrieved: 2019

Additional Info

Field Value
Imported on November 30, 2024
Last update November 30, 2024
License CC-BY-4.0
Source https://doi.org/10.1594/PANGAEA.902259
Author Brieger, Frederic
Given Name Frederic
Family Name Brieger
More Authors
Herzschuh, Ulrike
Pestryakova, Luidmila A
Bookhagen, Bodo
Zakharov, Evgenii S
Kruse, Stefan
Source Creation 2019
Publication Year 2019
Resource Type text/tab-separated-values - filename: Brieger-etal_2019
Subject Areas
Name: LandSurface

Related Identifiers
Title: Advances in the Derivation of Northeast Siberian Forest Metrics Using High-Resolution UAV-Based Photogrammetric Point Clouds
Identifier: https://doi.org/10.3390/rs11121447
Type: DOI
Relation: IsSupplementTo
Year: 2019
Source: Remote Sensing
Authors: Brieger Frederic , Herzschuh Ulrike , Pestryakova Luidmila A , Bookhagen Bodo , Zakharov Evgenii S , Kruse Stefan .