Data Call

Submit Data

Upload your annotated tree dataset for review. Files are validated in your browser before submission.

Shapefile Required
  • Minimum 100 individual trees
  • Option A (preferred): Polygon shapefile — one polygon per tree crown
  • Option B: Point coordinates — only accepted if DBH or tree height is provided per tree
  • All trees in the image should be delineated; partial delineations accepted (mention in notes)
  • Attribute column named exactly Species with Latin names (e.g. Picea abies)
  • Genus sp. for unknown species of a Genus (e.g., Picea sp.); Dead trees should be named: Dead tree
  • CRS: WGS 1984 UTM — must match imagery
COCO JSON Optional
  • COCO-format .json annotation file
  • Include matching image files (PNG / JPG / TIFF) and label .txt files
  • Add metadata describing class names and dataset contents
TIFF Imagery Required
  • Format: GeoTIFF (.tif / .tiff)
  • Resolution: ≤ 10 cm (~3.94 in) spatial resolution
  • Band order: R → G → B → I (NIR last); RGB-only accepted
  • One orthomosaic per site per year preferred; cropped plot clips accepted
  • Note the acquisition date in your submission notes
  • CRS: WGS 1984 UTM (projected; zone based on location)
Other Optional
  • Measurement date (multi-temporal datasets welcome)
  • Tree metrics: DBH (cm), height (m), social status (dominant / co-dominant)
  • Forest density: trees/ha, basal area/ha
  • Defoliation / mortality % per tree (0 = healthy, 100 = dead)
  • Environmental data: elevation, slope, aspect, climate, soil
  • Extra imagery: multispectral, hyperspectral, ground panoramas, LiDAR point clouds
Both must pass validation to unlock submission
Shapefile Required

Drop a .zip containing .shp .dbf .shx .prj

TIFF Imagery Required

Drop one or more .tif / .tiff GeoTIFF files

Max file size: ~2 TiB (account storage limit applies)

Include if available - uploaded alongside required files
COCO JSON Optional

Drop a .json COCO-format annotation file

Other Optional

Any format - describe contents below

Submission details

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