Mapping Plastic Greenhouses With LANDSAT 8 Imagery in Valparaiso, Chile
Bibliographic record
Abstract
In the last decades there has been a strong increase around the world in the use of plastic greenhouses (PGs). The Valparaíso region, in the central valley of Chile, has not been the exception, and the area covered by greenhouses has also experienced an increase over the years, reaching 1180 ha in 2007. Taking into account that agriculture in this region employs more than 60,000 people and accounts for 4% of the regional GDP, this information should be available to be included in territorial planning and incorporated into hydrological, economic, and food security models. To do this, the authors propose a new method for identifying the surface covered by PGs based on the intersection of the normalized difference indices and the areas excluded by the masks. The results showed that this methodology was able to identify with a general precision of 86.25% which allowed to classify 1409.85 ha. This area is consistent with the agricultural census carried out in 2007 and with the increase of more than 900 subsidies granted by the government for the installation of new structures.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".