Geomorphic Evaluation of Valley of Flower Region Bhyunder Ganga Catchment, Chamoli District, Uttarakhand Using: Remote Sensing & GIS Technology
Bibliographic record
Abstract
Geomorphology is the science of evolution of landforms in terms of its lithology, structures, basin geometry and other morphometric factors. In this small study, various gemorphological parameters are covering the Bhyunder Ganga Catchment. The main object is to map the land system into further various Landform unit and features through geomorphic approach in Bhyunder Ganga Catchment. Geomorphologic maps were prepared using Satellite images (Landsat ETM+, TM, MSS, ASTER, SRTM) and digital SOI topographic sheet of the region; this was further updated during post field work. Digital Elevation Model (DEM) generation based on topographical sheet was prepared for creating relief map, slope map, aspect map and 3D visualization in addition to drainage map with the help of topographical sheets, the generation of various thematic layers has also been developed. Land Use/Cover over the study area has been analyzed for the time periods of 2008 .The major proportion in land use is the snow cover (53.20%). Other landuse are barren land (22%), dense forest, open forest, built up and water bodies occupy only 24.8% area of catchment. Various theme maps (erosion intensity, LST) were generated for GIS study analysis is done to analyze the instability and morphology of the catchment area.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".