SiDroForest: Orthomosaics, SfM point clouds and products from aerial image data of expedition vegetation plots in 2018 in Central Yakutia and Chukotka, Siberia ...

This orthomosaics and Structure from Motion (SfM) point clouds dataset is a part of the SiDroForest data collection (van Geffen et al., 2021). The aim of SiDroForest is to gain a clear picture of the current vegetation dynamics in the pan-arctic region of Siberia. The dataset presented here contains...

Full description

Bibliographic Details
Main Authors: Kruse, Stefan, Farkas, Luca, Brieger, Frederic, Geng, Rongwei, Heim, Birgit, Pestryakova, Luidmila A, Zakharov, Evgenii S, Herzschuh, Ulrike, van Geffen, Femke
Format: Dataset
Language:English
Published: PANGAEA 2021
Subjects:
CHM
DEM
DSM
DTM
UAV
Online Access:https://dx.doi.org/10.1594/pangaea.933263
https://doi.pangaea.de/10.1594/PANGAEA.933263
id ftdatacite:10.1594/pangaea.933263
record_format openpolar
spelling ftdatacite:10.1594/pangaea.933263 2024-06-09T07:38:09+00:00 SiDroForest: Orthomosaics, SfM point clouds and products from aerial image data of expedition vegetation plots in 2018 in Central Yakutia and Chukotka, Siberia ... Kruse, Stefan Farkas, Luca Brieger, Frederic Geng, Rongwei Heim, Birgit Pestryakova, Luidmila A Zakharov, Evgenii S Herzschuh, Ulrike van Geffen, Femke 2021 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.933263 https://doi.pangaea.de/10.1594/PANGAEA.933263 en eng PANGAEA https://dx.doi.org/10.5194/essd-14-4967-2022 https://dx.doi.org/10.1594/pangaea.902259 https://dx.doi.org/10.2312/bzpm_0734_2019 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Central Yakutia CHM Chukotka DEM DSM DTM orthomosaic UAV File content Binary Object Binary Object File Size Vegetation survey RU-Land_2018_Chukotka RU-Land_2018_Yakutia AWI Arctic Land Expedition Helmholtz Einstein International Berlin Research School in Data Science HEIBRiDS Polar Terrestrial Environmental Systems @ AWI AWI_Envi Dataset dataset 2021 ftdatacite https://doi.org/10.1594/pangaea.93326310.5194/essd-14-4967-202210.1594/pangaea.90225910.2312/bzpm_0734_2019 2024-05-13T12:44:57Z This orthomosaics and Structure from Motion (SfM) point clouds dataset is a part of the SiDroForest data collection (van Geffen et al., 2021). The aim of SiDroForest is to gain a clear picture of the current vegetation dynamics in the pan-arctic region of Siberia. The dataset presented here contains orthomosaics and structure from motion (SfM) point clouds and point cloud products for plots visited in Siberia during a 2-month fieldwork expedition in 2018 by the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research in Germany (Kruse et al., 2019).During the fieldwork, 53 vegetation plots were covered by Unmanned Aerial Vehicle (UAV) flights and Red Green Blue (RGB) photographs were taken with a consumer grade DJI Phantom 4 quadcopter and MAPIR Survey3W RGNIR camera with a standardized flight plan (double-gridded in near-nadir position and circular facing the plot center at take-off elevation) on a 50 x 50 m area (further details in Kruse et al., 2019, Brieger et al., 2019).From these UAV ... Dataset Alfred Wegener Institute Arctic Chukotka Yakutia Siberia DataCite Metadata Store (German National Library of Science and Technology) Arctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Central Yakutia
CHM
Chukotka
DEM
DSM
DTM
orthomosaic
UAV
File content
Binary Object
Binary Object File Size
Vegetation survey
RU-Land_2018_Chukotka
RU-Land_2018_Yakutia
AWI Arctic Land Expedition
Helmholtz Einstein International Berlin Research School in Data Science HEIBRiDS
Polar Terrestrial Environmental Systems @ AWI AWI_Envi
spellingShingle Central Yakutia
CHM
Chukotka
DEM
DSM
DTM
orthomosaic
UAV
File content
Binary Object
Binary Object File Size
Vegetation survey
RU-Land_2018_Chukotka
RU-Land_2018_Yakutia
AWI Arctic Land Expedition
Helmholtz Einstein International Berlin Research School in Data Science HEIBRiDS
Polar Terrestrial Environmental Systems @ AWI AWI_Envi
Kruse, Stefan
Farkas, Luca
Brieger, Frederic
Geng, Rongwei
Heim, Birgit
Pestryakova, Luidmila A
Zakharov, Evgenii S
Herzschuh, Ulrike
van Geffen, Femke
SiDroForest: Orthomosaics, SfM point clouds and products from aerial image data of expedition vegetation plots in 2018 in Central Yakutia and Chukotka, Siberia ...
topic_facet Central Yakutia
CHM
Chukotka
DEM
DSM
DTM
orthomosaic
UAV
File content
Binary Object
Binary Object File Size
Vegetation survey
RU-Land_2018_Chukotka
RU-Land_2018_Yakutia
AWI Arctic Land Expedition
Helmholtz Einstein International Berlin Research School in Data Science HEIBRiDS
Polar Terrestrial Environmental Systems @ AWI AWI_Envi
description This orthomosaics and Structure from Motion (SfM) point clouds dataset is a part of the SiDroForest data collection (van Geffen et al., 2021). The aim of SiDroForest is to gain a clear picture of the current vegetation dynamics in the pan-arctic region of Siberia. The dataset presented here contains orthomosaics and structure from motion (SfM) point clouds and point cloud products for plots visited in Siberia during a 2-month fieldwork expedition in 2018 by the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research in Germany (Kruse et al., 2019).During the fieldwork, 53 vegetation plots were covered by Unmanned Aerial Vehicle (UAV) flights and Red Green Blue (RGB) photographs were taken with a consumer grade DJI Phantom 4 quadcopter and MAPIR Survey3W RGNIR camera with a standardized flight plan (double-gridded in near-nadir position and circular facing the plot center at take-off elevation) on a 50 x 50 m area (further details in Kruse et al., 2019, Brieger et al., 2019).From these UAV ...
format Dataset
author Kruse, Stefan
Farkas, Luca
Brieger, Frederic
Geng, Rongwei
Heim, Birgit
Pestryakova, Luidmila A
Zakharov, Evgenii S
Herzschuh, Ulrike
van Geffen, Femke
author_facet Kruse, Stefan
Farkas, Luca
Brieger, Frederic
Geng, Rongwei
Heim, Birgit
Pestryakova, Luidmila A
Zakharov, Evgenii S
Herzschuh, Ulrike
van Geffen, Femke
author_sort Kruse, Stefan
title SiDroForest: Orthomosaics, SfM point clouds and products from aerial image data of expedition vegetation plots in 2018 in Central Yakutia and Chukotka, Siberia ...
title_short SiDroForest: Orthomosaics, SfM point clouds and products from aerial image data of expedition vegetation plots in 2018 in Central Yakutia and Chukotka, Siberia ...
title_full SiDroForest: Orthomosaics, SfM point clouds and products from aerial image data of expedition vegetation plots in 2018 in Central Yakutia and Chukotka, Siberia ...
title_fullStr SiDroForest: Orthomosaics, SfM point clouds and products from aerial image data of expedition vegetation plots in 2018 in Central Yakutia and Chukotka, Siberia ...
title_full_unstemmed SiDroForest: Orthomosaics, SfM point clouds and products from aerial image data of expedition vegetation plots in 2018 in Central Yakutia and Chukotka, Siberia ...
title_sort sidroforest: orthomosaics, sfm point clouds and products from aerial image data of expedition vegetation plots in 2018 in central yakutia and chukotka, siberia ...
publisher PANGAEA
publishDate 2021
url https://dx.doi.org/10.1594/pangaea.933263
https://doi.pangaea.de/10.1594/PANGAEA.933263
geographic Arctic
geographic_facet Arctic
genre Alfred Wegener Institute
Arctic
Chukotka
Yakutia
Siberia
genre_facet Alfred Wegener Institute
Arctic
Chukotka
Yakutia
Siberia
op_relation https://dx.doi.org/10.5194/essd-14-4967-2022
https://dx.doi.org/10.1594/pangaea.902259
https://dx.doi.org/10.2312/bzpm_0734_2019
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.1594/pangaea.93326310.5194/essd-14-4967-202210.1594/pangaea.90225910.2312/bzpm_0734_2019
_version_ 1801370681152110592