Comparaison des capteurs ASTER et ETM+ pour la cartographie de la dégradation des sols à l'aide de l'indice LDI
Bibliographic record
Abstract
This study investigates the utility of the land degradation index (LDI) approach to express land degradation in a small Mediterranean watershed with enhanced thematic mapper plus (ETM+) data. The LDI is based on the concept of the soil line, and was elaborated from advanced spaceborne thermal emission and reflection radiometer (ASTER) sensor data and field spectra measurements. The implementation of the LDI index uses all the bands of the spectral domain in the visible, near infrared (NIR), and short wave infrared (SWIR). Field measurements were carried out in the Saboun experimental basin located in a marl soil region of the Moroccan western Rif for which soil, hydrological, and erosion databases were readily available. The present study provided the opportunity for studying and characterizing the state of soil degradation using the LDI. Our results show the interest of the use of the LDI with ASTER data to study or to map land degradation. It provides more accurate results (Kappa = 0,79) when compared with results obtained with ETM+ data (Kappa = 0,57). Globally, the results represent ground reality with sufficient accuracy to help decision makers in their soil conservation planning process.
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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 | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".