Enguehard, Léa; Kruse, Stefan; Farkas, Luca; Gloy, Josias; Heim, Birgit (2025): Harmonized Landsat and Sentinel-2 tiles labeled with UAV-LiDAR-derived forest structural attributes in Alaska and Northwest Canada [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.983738
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Published: 2025-07-10 • DOI registered: 2025-07-10
Abstract:
This dataset presents Harmonized Landsat Sentinel-2 (HLS) tiles labeled with forest structural information at ~90 sites (minimum 50 m by 500 m) in the boreal forests of Alaska and Northwest Canada. UAV-LiDAR data was collected at each site between 2022 and 2024. Canopy height and crown coverage were derived from the point clouds. The HLS pixels were collected as time series for two seasons: peak summer (June 20th to August 10th 2022, 2023, 2024) with 648 tiles, and late summer (August 20th to September 30th, 2022, 2023, 2024) with 258 tiles. We applied a 30 % cloud cover filter and masked remaining clouds, water bodies, and snow with the HLS Fmask bit filters. We computed and added one NDVI band per season. The median pixel value was taken from the median composites at each site. We resampled the crown coverage and median canopy height with the HLS grid resolution (30 m) and stacked the rasters together.
Keyword(s):
Supplement to:
Enguehard, Léa (in prep.): Exploring the potential of Harmonized Landsat-Sentinel-2 in predicting boreal forest structure from UAV-LiDAR data in Northwestern America.
Related to:
Kruse, Stefan; Enguehard, Léa; Juday, Glenn; Santosh, Panda; Badola, Anushree; Broers, Jakob; Farkas, Luca; Schladebach, Jacob; Hao, Kunyan; Jackisch, Robert; Döpper, Veronika; Heim, Birgit (2025): 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 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.980757
Kruse, Stefan; Enguehard, Léa; Juday, Glenn; Santosh, Panda; Badola, Anushree; Broers, Jakob; Farkas, Luca; Schladebach, Jacob; Hao, Kunyan; Jackisch, Robert; Döpper, Veronika; Heim, Birgit (2025): 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 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.980485
Kruse, Stefan; Gloy, Josias; Farkas, Luca; Schladebach, Jacob; Hao, Kunyan; Döpper, Veronika; Heim, Birgit (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 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.977771
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: 64.713149 * Median Longitude: -149.070964 * South-bound Latitude: 58.751136 * West-bound Longitude: 149.433858 * North-bound Latitude: 68.729000 * East-bound Longitude: -121.833570
Date/Time Start: 2022-07-15T00:00:00 * Date/Time End: 2024-07-09T00:00:00
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_Forests (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_Forests (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_Forests (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
Comment:
The dataset contains:
• HLS and forest structure as Cloud Optimized GeoTIFF (COG)
It contains all the HLS peak summer and late summer bands, and UAV-lidar derived information. One file per site, and the associated read_me file with more details.
• Polygons
Polygons shapefiles of each site and extent
• Pixel table
One table containing all band information from all pixels in the dataset, Principal components 1 to 3, and Tasseled Cap values, and the associated read_me file with more details.
This dataset supports the findings of Enguehard et al., (in preparation), and can be used as training and validation data for canopy height or crown coverage prediction models in the boreal forest.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | Enguehard, Léa | |||
| 2 | Name | Name | Enguehard, Léa | Product name | ||
| 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 | Raster graphic, GeoTIFF format | GeoTIFF | Enguehard, Léa | |||
| 9 | Geospatial vector, shapefiles | Shapefile | Enguehard, Léa | |||
| 10 | ASCII file | ASCII | Enguehard, Léa |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
438 data points