Assessment of Wetlands in Kuala Terengganu District Using Landsat^TM
Bibliographic record
Abstract
Wetland cover mapping is very important in identifying its areal extent and the rate of change over time. This studyaims to map the areal extent and its rate of change in Kuala Terengganu district which covers approximately 4,690.65hectares. Three LandsatTM images, which dated on 15th October 1998, 14th July 2002 and 15th August 2005 were used indigital image processing by using a RGB band combination of 4, 5, and 2. The overall classification accuracies for the1998, 2002 and 2005 images were 74.55, 82.42 and 90.91 percent, respectively. The United State Geology Survey(USGS) Classification Scheme was used to determine the wetland and the images were independently classified andtotal areas of wetland cover were compared between different dates of imageries. Surprisingly, there was an unexpectedsignificant increase (from 102.35 to 381.35 ha) in the areal extent of wetlands in a seven year period of 1998 to 2005with a rate of change of 0.84% increase per year. This study implies that the integration of remote sensing andGeographical Information System (GIS) may provide a useful tool for temporal studies in wetland cover and its rate ofchange in Kuala Trengganu district
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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".