Enguehard, Léa; Heim, Birgit; Kruse, Stefan; Nitze, Ingmar; Falco, Nicola; Herzschuh, Ulrike (2024): Classified maps of forest types in Eastern Siberia based on field surveys and Sentinel-2 imagery [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.967133
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Abstract:
This dataset provides subsets of mapped forest types at a spatial resolution of 10 m, focusing on boreal forests located in Eastern Siberia. The maps are subsets of 5 regions: Khamra, Western Yakutia, Central Yakutia, Oymyakon, and Chukotka. We used vegetation plot data from field surveys in 2018 and 2021 in Eastern Siberia, and photo-interpretation as training and validation datasets. Sentinel-2 late-summer reflectance was used for the supervised classification using a random forest algorithm.
We provide 6 categories: Larix woodland, class name 'Sparse Larch' (Class 0), open Larix forest, class name 'Medium Larch' (Class 1), closed Larix forest, class name 'Dense Larch' (Class 2), needle-leaf evergreen forest (Pinus, Picea), class name 'Evergreen' (Class 3), mixed broad-leaf and needle-leaf Summergreen forest, class name 'Mixed Summergreen' (Class 4), mixed needle-leaf and broadleaf Summergreen and Evergreen forest, class name 'Mixed Summergreen-Evergreen' (Class 5), and 'Burnt or Barre' (Class 6). All other non-forested areas were masked.
This map aims to provide a reliable and current map of forest types in this region. More information is provided in the read me file. This dataset results from the following publication: Enguehard et al. 2024, in review.
Supplement to:
Enguehard, Léa; et al. (in review): Unraveling boreal forest composition and drivers across scales in eastern Siberia.
Related to:
Enguehard, Léa; Heim, Birgit; Kruse, Stefan; Frandsen, Peter C; Jackisch, Robert; Herzschuh, Ulrike (2024): Labelled Siberian boreal forest types shapefiles based on field surveys. PANGAEA, https://doi.org/10.1594/PANGAEA.964699
Documentation:
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: 63.512669 * Median Longitude: 133.659232 * South-bound Latitude: 59.576719 * West-bound Longitude: 112.369630 * North-bound Latitude: 68.751482 * East-bound Longitude: 169.209362
Date/Time Start: 2018-09-01T00:00:00 * Date/Time End: 2022-10-15T00:00:00
Event(s):
S2_CH1 * Latitude Start: 68.113319 * Longitude Start: 162.586443 * Latitude End: 68.751482 * Longitude End: 165.382629 * Date/Time Start: 2018-09-01T00:00:00 * Date/Time End: 2022-10-15T00:00:00 * Location: Chukotka * Method/Device: MultiSpectral Instrument (MSI), Sentinel, 2A
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | Enguehard, Léa | |||
| 2 | Location | Location | Enguehard, Léa | |||
| 3 | LATITUDE | Latitude | Enguehard, Léa | Geocode – minimum | ||
| 4 | LONGITUDE | Longitude | Enguehard, Léa | Geocode – minimum | ||
| 5 | LATITUDE | Latitude | Enguehard, Léa | Geocode – maximum | ||
| 6 | LONGITUDE | Longitude | Enguehard, Léa | Geocode – maximum | ||
| 7 | Raster graphic, GeoTIFF format | GeoTIFF | Enguehard, Léa | |||
| 8 | Raster graphic, GeoTIFF format (File Size) | GeoTIFF (Size) | Bytes | Enguehard, Léa |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
30 data points