Detecting Urban Land-Use and Land-Cover Changes in Mississauga Using Landsat TM Images
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
The City of Mississauga in Ontario has been experiencing a fast urban growth in the past two decades which has caused rapid loss of the valuable farm and open space land. Land-use and land-cover maps of the City were produced from Landsat TM images for 1985 and 1999, spanning a period of 14 years. Dramatic changes in land use and land cover have occurred, with loss of forest, cropland and water body to urban use. In particular, low-density urban use, which includes largely residential use, has increased by over 7.4% between 1985 and 1999. These land-use and land-cover changes have drastically altered the land surface characteristics. An analysis of Landsat TM images revealed an increase of 23.7 km2 of built-up area and a decrease of non-built (23.2 km2) and water area (0.5 km2). This paper illustrates the usefulness of a remote sensing approach for the urban change studies. According to the land-use and land-cover maps, four vegetation-impervious surface-soil (V-I-S) patterns of the city development were identified pertain to Mississauga’s features.
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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 | 0.000 | 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 | 0.001 |
| 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