Managing Land Use Transformation and Land Surface Temperature Change in Anyigba Town, Kogi State, Nigeria
Bibliographic record
Abstract
The uncontrolled urban growth in cities comes with unattending alteration in the urban environmental system. This alteration as land use types change is most responsible for some of the problems witnessed in urban town such as the variation in land surface temperatures over time. This study used Remote sensing and GIS techniques to identify, mark and measure the extent of the various land uses from the Landsat TM image of 1995 and Landsat ETM+ image of 2006. The study revealed that the spatial and temporal changes in the land uses have greatly influenced the increase in the land surface temperature of each of the identified land uses. As vacant land and built-up area increased by 3.28 ha/yr and 78.34 ha/yr so did their land surface temperature increased by 0.083oC/yr. While vegetation and water and wetland vegetation decreased, their respective land surface temperature increased by 0.075oC/yr and 0.083oC/yr. This increase in land surface temperature of the study area within the period of study suggest that the rise in temperature of the various land uses may encourage environmental problems associated with local climate change as heat waves and mosquito infestations which can cause human discomfort as its been witnessed today in Anyigba. Proper checks on the development and conversion of land uses, urban forestry and adequate planning if employed may help in managing this occurence from agravating other environmental problems associated with land uses change and climate change.
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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 | 0.000 | 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 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".