Canopy height, spectral reflectance (NDVI), and aboveground biomass of Salix richardsonii across a wet graminoid-shrubland ecotone on Qikiqtaruk - Herschel Island, Yukon, Canada (2016)
Bibliographic record
Abstract
This dataset consists of (i) 673 red-green-blue (RGB) images, (ii) precise coordinates of ground control points and harvest plot corners, (iii) the photogrammetrically reconstructed dense point cloud (comprising of 228,315,000 points with XYZ and RGB values), (iv) four normalised difference vegetation index (NDVI) maps, (v) aboveground biomass data from harvest plots, and (vi) observations of the ground surface obtained from a walkover survey with a GNSS instrument. These data were collected over the eastern part of Qikiqtaruk - Herschel Island, in the Canadian Yukon (69.5N, 138.8W). The images were collected in July and August 2016. Further details on the image processing are provided in the lineage section. This dataset was created by Andrew Cunliffe, with support from Isla Myers-Smith, Jakob Assmann, Jeffery Kerby and Gergana Daskalova (https://teamshrub.com/), in order to inform ongoing ecological monitoring studies in this area. This research was supported by the Natural Environment Research Council (NE/M016323/1), and the NERC Geophysical Equipment Facility (GEF:1063).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".