Research on Visual Interpretation and Spatial Distribution Pattern of the Erosion Gully in Luoyugou Watershed of China
Bibliographic record
Abstract
There are criss-cross Ravines and gullies in the Loess Plateau, where the erosion gullies grows better. The loess material, which is loose and has the vertical jointing, is easy to suffer from the erosion; the types of erosion in this area mainly include gravitational erosion and the trench erosion. There are typical gulling erosion in Luoyugou watershed of Tianshui northern suburb, located in the interactive region of Longxi Loess plateau hill-gully area and the Longnan mountainous area. Under the support of the SPOT satellite photos in 2008 and field survey, the paper establishes the visual interpretation features of erosion gully, extracting the information of erosion gully, and uses the landscape pattern analytical method, studying the spatial distribution pattern of the erosion gully in the watershed. Finally, the paper draws the following conclusions: 1) The shapes of erosion gullies are strip or arborization, and in the black-white image, the stable erosion gullies appear deep dark color, active erosion gullies present the bright color, and half-active erosion gullies are the shallow dark color; while in color synthesis image, the color of stable erosion gullies mixes garnet, and other erosion gullies are bright green. 2) There are more erosion gullies in the study area where human activities occur frequently, such as the both sides of terraced field, the side of road and the river marshland, the both sides of terraced field have. 3) The erosion gullies in the study watershed are primarily stable ones, whose area accounts for 51.3% of the total erosion gullies, and half-active ones accounts for 18.3%. This phenomenon indicates the progress in the control of the erosion gullies in this basin. 4) From the upstream to the downstream in the research basin, the erosion gully's average shape index has the tendency to reduce gradually, illustrating that the more getting nearly to the downstream, the more the slope of erosion gully to be gentler. The data results match well with the actual terrain feature.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".