Monitoring Aspen Phenology along an Elevation Gradient using MODIS data
Bibliographic record
Abstract
Aspen (Populus tremuloides) are keystone species in many North American ecosystems and are the most extensively distributed species in this landscape. They thrive in a variety of environments, support biodiversity and provide many ecosystem amenities. Despite their resilience and wide distribution, a decline in aspen communities has been observed starting in western Canada and continuing down to the central and southern Rocky Mountains. Monitoring the phenology of aspens can provide insights about factors influencing their decline. Phenology refers to the measurement of the timing of biological events. One way to measure phenology is with remotely sensed data. This study utilizes Moderate Resolution Imaging Spectrometer (MODIS) images acquired during a ten year period, from 2000-2010. Values of the infrared and red bands were extracted from 6 aspen stands located in the Medicine Bow National Forest. NDVI values were derived from these bands, and phenological curves were constructed for each year. From these curves, influences of elevation and weather conditions on aspen phenology were compared.
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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 | 0.001 | 0.001 |
| 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 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".