The Utility of Morphometric Parameters Extracted from SAR Radar Images in the Monitoring of the Dynamics of the Danube Island System, Giurgiu-Călăraşi Sector, Romania
Bibliographic record
Abstract
The Danube islands system is continuously undergoing real degradations caused by natural and anthropogenic processes, thus causing a weakening of the biological potential and generating ecological and socio-economic imbalances. The lack of frequent data on the morphometric parameters of the islands in this region constitutes a major gap for monitoring, understanding and diagnosing the state of their evolution. The aim of this work is to show the importance of morphometric parameters extracted from SAR radar amplitude images in the monitoring of the dynamics of the Danube island system, along the Giurgiu-Călăraşi sector, at the frontier of Romania – Bulgaria. This study conducted by extraction of islands allowed us to detect and monitor the evolution of each island and sub-island, between 1995 and 2009, with great precision. The results obtained showed a displacement of the island system in the South-East direction with an average annual velocity of about 1 m/year and sediment accumulations with an average radius velocity estimated at 1.34 m/year during this period of 14 years. The increase of sediment accumulation during the studied period is due to river bank erosion and to the major floods produced in 2005 on the tributary rivers and especially those of 2006 on the Danube River.
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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 | 0.001 | 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".