Lidar and multispectral footprint data of 21 forest successional plots from UAV-based survey in Central and Eastern Yakutia, Siberia

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Autori principali: Kruse, Stefan, Jackisch, Robert, Heim, Birgit, Gloy, Josias, Herzschuh, Ulrike, Kolmogorov, Alexei, Zakharov, Evgenii S, Pestryakova, Luidmila A, Förster, Michael, Kleinschmit, Birgit
Natura: Dataset Open Access
Lingua:en
Pubblicazione: PANGAEA 2023
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author Kruse, Stefan
Jackisch, Robert
Heim, Birgit
Gloy, Josias
Herzschuh, Ulrike
Kolmogorov, Alexei
Zakharov, Evgenii S
Pestryakova, Luidmila A
Förster, Michael
Kleinschmit, Birgit
author_facet Kruse, Stefan
Jackisch, Robert
Heim, Birgit
Gloy, Josias
Herzschuh, Ulrike
Kolmogorov, Alexei
Zakharov, Evgenii S
Pestryakova, Luidmila A
Förster, Michael
Kleinschmit, Birgit
collection Datos científicos de ciencias marinas y ambientales
contents This data set contains the 2D footprint information of a forest succession dataset in the context of boreal ecosystems survey. The data provides structural and biophysical information on forest state, structure, topography, morphology, disturbance (wildfire, thaw slumps, windfall), thermokarst lake-shore interfaces, among others. The Lidar and multispectral surveys were conducted over 21 selected vegetation transects. Each transect (500m by 200m) contains at least one ground vegetation reference plot (doi: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 Lidar at flight heights between 60-100 m above ground level. Subsequent analysis and segmentation algorithms allow single-tree crown and canopy analysis.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_958188
institution PANGAEA
language en
publishDate 2023
publisher PANGAEA
record_format pangaea
spellingShingle Lidar and multispectral footprint data of 21 forest successional plots from UAV-based survey in Central and Eastern Yakutia, Siberia
Kruse, Stefan
Jackisch, Robert
Heim, Birgit
Gloy, Josias
Herzschuh, Ulrike
Kolmogorov, Alexei
Zakharov, Evgenii S
Pestryakova, Luidmila A
Förster, Michael
Kleinschmit, Birgit
AWI Arctic Land Expedition; Binary Object; Binary Object (File Size); boreal forest; canopy cover; Central Yakutia; CHM; Churapchinsky District; Drone; elevation model; EN21202; EN21202_Lidar; EN21203_Lidar; EN21204; EN21204-205_Lidar; EN21205; EN21212; EN21212-214_Lidar; EN21213; EN21213_Lidar; EN21214; EN21217; EN21217_Lidar; EN21221; EN21221-222_Lidar; EN21222; EN21228; EN21228-229_Lidar; EN21229; EN21230; EN21230-231_Lidar; EN21231; EN21232; EN21232_Lidar; EN21233; EN21233_Lidar; EN21252; EN21252_Lidar; EN21253; EN21253_Lidar; EN21255; EN21255_Lidar; EN21260; EN21260_Lidar; EN21418; EN21418_Lidar; Event label; File content; GNSS; Individual Trees; InnoLab; InnoLab für Arktisforschung; LAKE; Larch; Laser scanning; Lidar; Other event; Permafrost; point clouds; RU-Land_2021_Yakutia; Russia; Sakha Republic; Sampling lake; Siberia; Surface Elevation; thaw slump; thermokarst; topography; UAS; UAV; UAV data; Unmanned Aerial Vehicle (UAV), DJI Technology Co, Matrice 300 RTK; coupled with Light detection and ranging scanner (LiDAR), YellowScan, Mapper; Unmanned Aerial Vehicle (UAV), DJI Technology Co, Matrice 300 RTK; coupled with Multispectral camera, MicaSense - AgEagle Sensor Systems Inc, Altum-PT; Vegetation; Vegetation survey; VEGSUR; wildfire
This data set contains the 2D footprint information of a forest succession dataset in the context of boreal ecosystems survey. The data provides structural and biophysical information on forest state, structure, topography, morphology, disturbance (wildfire, thaw slumps, windfall), thermokarst lake-shore interfaces, among others. The Lidar and multispectral surveys were conducted over 21 selected vegetation transects. Each transect (500m by 200m) contains at least one ground vegetation reference plot (doi: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 Lidar at flight heights between 60-100 m above ground level. Subsequent analysis and segmentation algorithms allow single-tree crown and canopy analysis.
title Lidar and multispectral footprint data of 21 forest successional plots from UAV-based survey in Central and Eastern Yakutia, Siberia
topic AWI Arctic Land Expedition; Binary Object; Binary Object (File Size); boreal forest; canopy cover; Central Yakutia; CHM; Churapchinsky District; Drone; elevation model; EN21202; EN21202_Lidar; EN21203_Lidar; EN21204; EN21204-205_Lidar; EN21205; EN21212; EN21212-214_Lidar; EN21213; EN21213_Lidar; EN21214; EN21217; EN21217_Lidar; EN21221; EN21221-222_Lidar; EN21222; EN21228; EN21228-229_Lidar; EN21229; EN21230; EN21230-231_Lidar; EN21231; EN21232; EN21232_Lidar; EN21233; EN21233_Lidar; EN21252; EN21252_Lidar; EN21253; EN21253_Lidar; EN21255; EN21255_Lidar; EN21260; EN21260_Lidar; EN21418; EN21418_Lidar; Event label; File content; GNSS; Individual Trees; InnoLab; InnoLab für Arktisforschung; LAKE; Larch; Laser scanning; Lidar; Other event; Permafrost; point clouds; RU-Land_2021_Yakutia; Russia; Sakha Republic; Sampling lake; Siberia; Surface Elevation; thaw slump; thermokarst; topography; UAS; UAV; UAV data; Unmanned Aerial Vehicle (UAV), DJI Technology Co, Matrice 300 RTK; coupled with Light detection and ranging scanner (LiDAR), YellowScan, Mapper; Unmanned Aerial Vehicle (UAV), DJI Technology Co, Matrice 300 RTK; coupled with Multispectral camera, MicaSense - AgEagle Sensor Systems Inc, Altum-PT; Vegetation; Vegetation survey; VEGSUR; wildfire
url https://doi.org/10.1594/PANGAEA.958188