Landscape changes in the Tombstone Territorial Park region (central Yukon, Canada) from multilevel remote sensing analysis
Bibliographic record
Abstract
Northern ecosystems are vulnerable to surface disturbances caused by warming climate and human activities. The Ogilvie Mountains in central Yukon are an important region that should be monitored, as it is a major transportation corridor connecting northern communities. This study aims to characterize 35 years of landscape changes in the Tombstone Territorial Park and the surrounding region of the Ogilvie Mountains by detecting and interpreting landscape changes using a Landsat-derived trend analysis and multilevel image interpretation. Statistically significant spectral changes occurred in 24% of the study area between 1986 and 2021, and most of these changes are gradual and associated with vegetation succession and hydrological processes (i.e., erosion and deposition). Other landscape changes included wildfires, slumps, changes to riverbanks and lake shores, earlier melting of icings in the summer, degradation on the peripheries of some ice-wedge polygonal terrain, and potential insect damage to forests. Our investigation reveals that the extent and magnitude of landscape changes in the study area are influenced by climate, geomorphic setting, ecological succession, and glacial history of the region. Given a varied combination of ecotypes, spatial and temporal variations are to be expected in terms of the response of the landscape to climate and anthropogenic disturbances.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".