Assessment of Land Cover Change in the North Eastern Nigeria 1986 to 2005
Bibliographic record
Abstract
Environmental disturbance such as drought, overgrazing, and increase in population in north eastern Nigeria over the years has led to degradation, shortage of land and water resources and sometimes violent conflict among communities. Land cover change provides a vital means of understanding and managing these problems. Thus this research provided an assessment of how tree, shrub grass, bare ground and urban land cover changed from 1986 to 2005. NigeriaSat-1 and Landsat images were used with data obtained from field survey for the land cover classifications. Change in the land covers were analysed according to persistence, swapping, net loss and gain. Uncertainties were analysed by confusion matrices. The overall accuracies of the classifications used for the analysis are between 60% and 75%. The transition and change accuracies are between 45% and 60%. Approximately 60% of the area of study remained unchanged during the period. Of the remainder, approximately 11% of the area interchanged between shrub grass and bare ground. The most unstable category was shrub grass and was also the source of misclassification. The changes in general concurred with the perception of change in the area and gave some insight on the change that occurred.
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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 | 0.000 |
| 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".