Satellite Image-Based Analysis of the Greening Impact on the Formation of an Urban Heat Island (UHI) in Abu Dhabi City
Bibliographic record
Abstract
Two Landsat scenes (acquired on 21 May 1986 and 19 May 2000) were used to examine differences in surface temperature inside and outside the city of Abu Dhabi and to examine a potential relationship between vegetation abundance and drop in temperatures. Land cover maps of Abu Dhabi city and its surroundings spanning the period 1986–2000 were created using multispectral classification, and vegetation abundance maps using the vegetation fraction index and surface temperature maps from Landsat were created to study their spatial relationships using GIS-based multivariate statistical analysis. Differences in surface temperature between urban areas and their non-urban surroundings were also studied to assess any urban heat island (UHI) effect. A map showing the magnitude of UHI effect was created and linked to the vegetation abundance map. Results show that the UHI effect in major UAE urban centres is minimal; however, more investigation is needed to confirm this hypothesis for other UAE cities.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.001 | 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 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".