Advances in the Derivation of NE Siberian Forest Metrics using High-resolution UAV-based Photogrammetric Point Clouds.

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dc.contributor.author Brieger, Frederic
dc.contributor.author Herzschuh, Ulrike
dc.contributor.author Pestryakova, Ludmila A
dc.contributor.author Bookhagen, Bodo
dc.contributor.author Zakharov, Evgenii S
dc.contributor.author Kruse, Stefan
dc.coverage.spatial MEDIAN LATITUDE: 63.675000 * MEDIAN LONGITUDE: 140.650000 * SOUTH-BOUND LATITUDE: 59.990000 * WEST-BOUND LONGITUDE: 112.980000 * NORTH-BOUND LATITUDE: 67.360000 * EAST-BOUND LONGITUDE: 168.320000
dc.date.accessioned 2019-11-24T11:05:39Z
dc.date.available 2019-11-24T11:05:39Z
dc.date.issued 2019-06-04
dc.identifier https://doi.pangaea.de/10.1594/PANGAEA.902259
dc.identifier https://doi.org/10.1594/PANGAEA.902259
dc.identifier.citation Brieger, Frederic; Herzschuh, Ulrike; Pestryakova, Ludmila A; Bookhagen, Bodo; Zakharov, Evgenii S; Kruse, Stefan (submitted): Advances in the Derivation of NE Siberian Forest Metrics using High-resolution UAV-based Photogrammetric Point Clouds. Remote Sensing
dc.identifier.uri https://repository.geologyscience.ru/handle/123456789/7824
dc.description.abstract 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, currently under review) upon publication.
dc.format text/tab-separated-values, 44 data points
dc.language.iso en
dc.publisher PANGAEA
dc.rights CC-BY-4.0: Creative Commons Attribution 4.0 International
dc.rights Access constraints: unrestricted
dc.source Supplement to: Brieger, Frederic; Herzschuh, Ulrike; Pestryakova, Ludmila A; Bookhagen, Bodo; Zakharov, Evgenii S; Kruse, Stefan (submitted): Advances in the Derivation of NE Siberian Forest Metrics using High-resolution UAV-based Photogrammetric Point Clouds. Remote Sensing
dc.subject File format
dc.subject File name
dc.subject File size
dc.subject MULT
dc.subject Northeast_Siberian_Forest
dc.subject photogrammetry
dc.subject point clouds
dc.subject Uniform resource locator/link to file
dc.title Advances in the Derivation of NE Siberian Forest Metrics using High-resolution UAV-based Photogrammetric Point Clouds.
dc.title.alternative High-resolution photogrammetric point clouds from northeast Siberian forest stands. Alfred-Wegener-Institute research expedition "Chukotka 2018"
dc.type Dataset


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