Enguehard, Léa; Heim, Birgit; Falco, Nicola; Juday, Glenn; Santosh, Panda; Herzschuh, Ulrike; Kruse, Stefan (2025): UAV LiDAR-based classified trees and species abundance in the boreal forests of Alaska and Northwest Canada [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.977817
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Published: 2025-03-11 • DOI registered: 2025-03-11
Abstract:
This dataset presents information about 48 sites in the boreal forests of Alaska and Northwest Canada. At each site, we established a UAV transect and collected LiDAR and RGB data with a Yellowscan Mapper mounted on a DJI M300. The data was collected in the summers of 2022 in Canada and 2023 and 2024 in Alaska. Each LiDAR transect was processed into a colored pointcloud, and individual trees were segmented. We computed tree characteristics: tree height, crown area, crown diameter, and estimated age (based on tree core data and a regression model). Using a random forest algorithm, we classified the individual trees into 2 categories: evergreen (Spruce, Pine, etc.) and deciduous (Betula, Aspen, etc.). The pointcloud were aggregated into 20 x 20 meters tree patches. We computed the abundance of evergreen and decidous categories in each patch per height category (below 5 meters, between 5 and 12, above 12 meters). This data is presented as individual table per site. This dataset supports the findings of Enguehard et al., 2025.
Related to:
Enguehard, Léa; et al. (in prep.): Boreal forest succession in Alaska and Northwest Canada as inferred from UAV-LiDAR and a community detection network.
Funding:
European Research Council (ERC), grant/award no. 772852: Glacial Legacy on the establishment of evergreen vs. summergreen boreal forests
Federal Ministry for Economic Affairs and Energy (BMWi), grant/award no. AI-vergreens: AI-supported remote sensing of summergreen and evergreen needleleaf forest types in cold forest biomes
Coverage:
Median Latitude: 64.866181 * Median Longitude: -144.987591 * South-bound Latitude: 59.970246 * West-bound Longitude: -163.664295 * North-bound Latitude: 68.729000 * East-bound Longitude: -127.507057
Date/Time Start: 2022-07-15T00:00:00 * Date/Time End: 2024-07-06T00:00:00
Minimum Elevation: 20.0 m * Maximum Elevation: 983.0 m
Event(s):
EN22002_Lidar (EN22002) * Latitude: 60.809231 * Longitude: -135.370674 * Date/Time: 2022-08-07T22:20:00 * Location: Yukon, Canada * Campaign: CA-Land_2022_NWCanada (Forest Change Northwest Canada) * Basis: AWI Arctic Land Expedition * Method/Device: Unmanned Aerial Vehicle (UAV), DJI Technology Co, Matrice 300 RTK; coupled with Light detection and ranging scanner (LiDAR), YellowScan, Mapper
EN22003_Lidar (EN22003) * Latitude: 60.439054 * Longitude: -133.565797 * Date/Time: 2022-08-14T01:03:00 * Location: Yukon, Canada * Campaign: CA-Land_2022_NWCanada (Forest Change Northwest Canada) * Basis: AWI Arctic Land Expedition * Method/Device: Unmanned Aerial Vehicle (UAV), DJI Technology Co, Matrice 300 RTK; coupled with Light detection and ranging scanner (LiDAR), YellowScan, Mapper
EN22005_Lidar (EN22005) * Latitude: 67.909441 * Longitude: -133.567374 * Date/Time: 2022-07-25T19:39:00 * Location: Northwest Territories, Canada * Campaign: CA-Land_2022_NWCanada (Forest Change Northwest Canada) * Basis: AWI Arctic Land Expedition * Method/Device: Unmanned Aerial Vehicle (UAV), DJI Technology Co, Matrice 300 RTK; coupled with Light detection and ranging scanner (LiDAR), YellowScan, Mapper
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | Enguehard, Léa | |||
| 2 | Identification | ID | Enguehard, Léa | Point Cloud ID | ||
| 3 | Campaign | Campaign | Enguehard, Léa | Field Campaign | ||
| 4 | DATE/TIME | Date/Time | Enguehard, Léa | Geocode – Date of survey | ||
| 5 | LATITUDE | Latitude | Enguehard, Léa | Geocode – Plot Center | ||
| 6 | LONGITUDE | Longitude | Enguehard, Léa | Geocode – Plot Center | ||
| 7 | Description | Description | Enguehard, Léa | General site description | ||
| 8 | Text file | TEXT | Enguehard, Léa | Abundance table | ||
| 9 | Text file | TEXT | Enguehard, Léa | tree age | ||
| 10 | Binary Object | Binary | Enguehard, Léa | point cloud | ||
| 11 | Geospatial vector, shapefiles | Shapefile | Enguehard, Léa | Polygon_UAV_transect zip files containing: .dbf, .prj, .shp and .shx |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
336 data points
Download Data
Datasets with similar metadata
- Kruse, S; Enguehard, L; Juday, G et al. (in review): Point clouds with ground point classification and individual tree segmentation of 47 northern boreal forest and tundra sites from UAV-based lidar surveys in the eastern part of Alaska in 2023. https://doi.pangaea.de/10.1594/PANGAEA.980485
- Kruse, S; Gloy, J; Farkas, L et al. (2025): Point clouds with ground point classification and individual tree segmentation of 25 northern boreal forest and tundra sites from UAV-based lidar surveys in northwestern Canada in 2022. https://doi.pangaea.de/10.1594/PANGAEA.977771
- Kruse, S; Enguehard, L; Juday, G et al. (in review): Point clouds with ground point classification and individual tree segmentation of 28 northern boreal forest and tundra sites from UAV-based lidar surveys in western and central parts of Alaska in 2024. https://doi.pangaea.de/10.1594/PANGAEA.980757