Spatial dynamic of the hunting area and Bombo Lumene reserve between 2000and 2015 by optical satellite imagery
Bibliographic record
Abstract
Better management of a protected area in the context of human pressures through its improved knowledge and the latter in particular through regular evaluation of its spatial dynamics. The purpose of this study is to quantify and analyze the spatial dynamics of the hunting area and Bombo Lumene reserve between 2000 and 2015 to assess the trend during this period. The methodology consists of using two Landsat ETM + scenes (Enhanced Thematic Mapper Plus) of 03.03.2000 and OLI (Operational Land Imager OLI) of 04.06.2015, which were classified by object-oriented approach after ortho rectification. The results of the study provide information that the site is threatened by human impacts with an increase of 20,083 ha of anthropized area (5.7%); grassland lost 8,124 ha of its area (2.3%); bushland lost 29,543 hectares of its area (8.4%). The forest has meanwhile gained 1,545 ha (0.3%), while woodland won 11,635 ha (3.3%).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".