Geospatial Analysis of Urbanization and its Impact on Land Use Changes in Sargodha, Pakistan
Bibliographic record
Abstract
The focus of this study is on the application of GIS and remote sensing on urbanization and its impact on land use changes in Sargodha from 1992-2015. Sargodha has witnessed rapid urbanization and due to urban expansion many changes have been detected in the land use of Sargodha. For this study, census data, multi-temporal city maps and multi spectral satellite images are used. Landsat TM 1992 and ETM+ 2000, 2005, 2010 and 2015 Landsat 8 are classified using supervised classified method (MLC) to produce land use maps. The classification accuracy has been assessed by calculating kappa index of agreement and ground control points were also collected to verify the results. The results indicate that, over the past 24 years there is a growing trend in urban land use while the agricultural land and all other categories are showing a declining trend since 1992. The total increase in urban land use is 25380.8 hectares and it has increased in 2000, 2005, 2010, and 2015 at the rate of 2.2%, 4.1%, 9.2% and 17.4% respectively. This rapid urbanization resulted into loss of agricultural land. While the overall change observed in agricultural land, water area and bare land is -11008.5, -38926.5 and 9492.7 hectares respectively.
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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 | 0.000 |
| 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".