Change Detection of Forest and Habitat Resources from 1973 to 2001 in Bach Ma National Park, Vietnam, Using Remote Sensing Imagery
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
SUMMARY Land cover changes have not been well documented in Vietnam. This paper presents new information relevant to land cover modifications and to resource inventory such as forest management and wildlife habitats. Formed in 1991, Bach Ma National Park and its buffer zone is one of the richest regions for biodiversity in Asia, providing habitat for endangered species. The paper assesses the major forest cover changes using Remote Sensing Imagery (Landsat: MSS, TM, +ETM) between the years prior to the establishment of national park status and the years following. Normalized Difference Vegetation Index (NDVI) was used across sensors; for the study area five regions were identified where major land-cover changes have occurred. Between 1973 and 2001 it is estimated that approximately 45 % of the buffer zone was modified, or lost its forest cover, with most changes occurring around 1989, just prior to the park establishment. These changes can most likely be attributed to forest and resource extrapolation that coincided with a high human population density and is supported by extensive road building in the surrounding region. More research is needed to improve presented approaches in order to better safeguard forested landscapes in Vietnam.
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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 | 0.000 |
| 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 it