Observation de la végétation depuis l'espace
Bibliographic record
Abstract
L'arrivée de nouvelles données satellitaires en accès libre (notamment du programme européen Sentinel de Copernicus) fait avancer la caractérisation de l'occupation des sols et des cycles de l'eau et du carbone. La résolution spatiale décamétrique de ces données, disponibles à une fréquence élevée, permet de produire des variables biogéophysiques à l'échelle des parcelles agricoles. Des applications en agrométéorologie sont possibles, mais également pour la validation et l'amélioration des modèles des surfaces terrestres utilisés en météorologie et en climat. Deux nouvelles missions de l'Agence spatiale européenne, Biomass et Flex, dont les lancements sont programmés respectivement pour 2021 et 2022, vont apporter des connaissances nouvelles sur la photosynthèse et le stockage de carbone par les forêts.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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 | 0.001 |
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 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".