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  • PANGAEA  (4)
  • 2020-2024  (4)
  • 2023  (4)
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  • 2020-2024  (4)
Year
  • 1
    Publication Date: 2024-06-12
    Description: This data set contains the UAV-based lidar data 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. Main data products are Lidar-based 3D point clouds. Lidar survey was conducted over 21 selected vegetation transects. Each transect (500m by 200m) contains at least one ground vegetation reference plot (https://doi.pangaea.de/10.1594/PANGAEA.943547). The data was acquired in August and early September 2021 (07.08.2021 - 01.09.2021) along an extended 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 allows single-tree crown and canopy analysis.
    Keywords: 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; Field measurements; File content; GNSS; Individual Trees; InnoLab; InnoLab für Arktisforschung; LAKE; Larch; Laser scanning; Lidar; Other event; Permafrost; Photogrammetry; 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; Vegetation; Vegetation survey; VEGSUR; wildfire
    Type: Dataset
    Format: text/tab-separated-values, 48 data points
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2024-06-12
    Description: This data set contains the UAV-based multispectral image data of a forest succession dataset in the context of boreal ecosystems survey. The data provides structural and biophysical information on forest state, structure, disturbance (wildfire, thaw slumps, windfall), thermokarst lake-shore interfaces, among others. Main data products are multispectral orthomosaics. Photogrammetric survey was conducted over 21 selected vegetation transects using the MicaSense Altum multispectral camera. Each transect (500m by 200m) contains at least one ground vegetation reference plot (https://doi.pangaea.de/10.1594/PANGAEA.943547). The data was acquired in August and early September 2021 (07.08.2021 - 01.09.2021) along an extended 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 multispectral imaging at flight heights between 70-100 m above ground level, at 80-85 % forward/sideward overlap. Subsequent analysis and segmentation algorithms allows single-tree crown and canopy analysis.
    Keywords: AWI Arctic Land Expedition; Binary Object; Binary Object (File Size); boreal forest; canopy cover; Central Yakutia; CHM; Churapchinsky District; Drone; elevation model; EN21202; EN21202_MSI; EN21203_MSI; EN21204; EN21204-205_MSI; EN21205; EN21212; EN21212-214_MSI; EN21213; EN21213_MSI; EN21214; EN21217; EN21217_MSI; EN21221; EN21221-222_MSI; EN21222; EN21228; EN21228-229_MSI; EN21229; EN21230; EN21230-231_MSI; EN21231; EN21232; EN21232_MSI; EN21233; EN21233_MSI; EN21252; EN21252_MSI; EN21253; EN21253_MSI; EN21255; EN21255_MSI; EN21260; EN21260_MSI; EN21418; EN21418_MSI; Event label; Field measurements; File content; GNSS; Individual Trees; InnoLab; InnoLab für Arktisforschung; LAKE; Larch; Laser scanning; Lidar; Other event; Permafrost; Photogrammetry; 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 Multispectral camera, MicaSense - AgEagle Sensor Systems Inc, Altum-PT; Vegetation; Vegetation survey; VEGSUR; wildfire
    Type: Dataset
    Format: text/tab-separated-values, 48 data points
    Location Call Number Expected Availability
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  • 3
    Publication Date: 2024-06-12
    Description: 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.
    Keywords: 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
    Type: Dataset
    Format: text/tab-separated-values, 48 data points
    Location Call Number Expected Availability
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  • 4
    Publication Date: 2024-06-12
    Description: This data set contains the UAV-based multispectral dense point clouds of a forest succession dataset in the context of boreal ecosystems survey. The data provides structural and biophysical information on forest state, structure, disturbance (wildfire, thaw slumps, windfall), thermokarst lake-shore interfaces, among others. The photogrammetric survey was conducted over 21 selected vegetation transects using the Micansense Altum multispectral camera. Each transect (500m by 200m) contains at least one ground vegetation reference plot (https://doi.pangaea.de/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 multispectral imaging at flight heights between 70-100 m above ground level, at 80-85 % forward/sideward overlap for SfM.
    Keywords: AWI Arctic Land Expedition; Binary Object; Binary Object (File Size); boreal forest; canopy cover; Central Yakutia; CHM; Churapchinsky District; Drone; elevation model; EN21202; EN21202_MSI; EN21203_MSI; EN21204; EN21204-205_MSI; EN21205; EN21212; EN21212-214_MSI; EN21213; EN21213_MSI; EN21214; EN21217; EN21217_MSI; EN21221; EN21221-222_MSI; EN21222; EN21228; EN21228-229_MSI; EN21229; EN21230; EN21230-231_MSI; EN21231; EN21232; EN21232_MSI; EN21233; EN21233_MSI; EN21252; EN21252-253_MSI; EN21253; EN21255; EN21255_MSI; EN21260; EN21260_MSI; EN21418; EN21418_MSI; Event label; Field measurements; File content; GNSS; Individual Trees; InnoLab; InnoLab für Arktisforschung; LAKE; Larch; Laser scanning; Lidar; Other event; Permafrost; Photogrammetry; 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
    Type: Dataset
    Format: text/tab-separated-values, 45 data points
    Location Call Number Expected Availability
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