Streamline the markdown files
This commit is contained in:
parent
f8df10f687
commit
907e907856
3 changed files with 3 additions and 3 deletions
2
.github/copilot-instructions.md
vendored
2
.github/copilot-instructions.md
vendored
|
|
@ -145,7 +145,7 @@ Prefer GPU-accelerated operations:
|
||||||
- **DARTS v2**: RTS labels (year, area, count, density)
|
- **DARTS v2**: RTS labels (year, area, count, density)
|
||||||
- **ERA5**: Climate data (40-year history, Arctic-aligned years)
|
- **ERA5**: Climate data (40-year history, Arctic-aligned years)
|
||||||
- **ArcticDEM**: 32m resolution terrain (slope, aspect, indices)
|
- **ArcticDEM**: 32m resolution terrain (slope, aspect, indices)
|
||||||
- **AlphaEarth**: 256-dimensional satellite embeddings
|
- **AlphaEarth**: 64-dimensional satellite embeddings
|
||||||
- **Watermask**: Ocean exclusion layer
|
- **Watermask**: Ocean exclusion layer
|
||||||
|
|
||||||
## Model Support
|
## Model Support
|
||||||
|
|
|
||||||
|
|
@ -69,7 +69,7 @@ The pipeline follows a sequential processing approach where each stage produces
|
||||||
|
|
||||||
**AlphaEarth Embeddings (`alphaearth.py`)**
|
**AlphaEarth Embeddings (`alphaearth.py`)**
|
||||||
|
|
||||||
- Extracts 256-dimensional satellite image embeddings via Google Earth Engine
|
- Extracts 64-dimensional satellite image embeddings via Google Earth Engine
|
||||||
- Uses foundation models to capture visual patterns
|
- Uses foundation models to capture visual patterns
|
||||||
- Partitions large grids using KMeans clustering
|
- Partitions large grids using KMeans clustering
|
||||||
- Temporal sampling across multiple years
|
- Temporal sampling across multiple years
|
||||||
|
|
|
||||||
|
|
@ -33,7 +33,7 @@ This will set up the complete environment including RAPIDS, PyTorch, and all geo
|
||||||
- `grids.py`: H3/HEALPix spatial grid systems
|
- `grids.py`: H3/HEALPix spatial grid systems
|
||||||
- `darts.py`, `era5.py`, `arcticdem.py`, `alphaearth.py`: Data source processors
|
- `darts.py`, `era5.py`, `arcticdem.py`, `alphaearth.py`: Data source processors
|
||||||
- `dataset.py`: Dataset assembly and feature engineering
|
- `dataset.py`: Dataset assembly and feature engineering
|
||||||
- `training.py`: Model training with eSPA/SPARTAn
|
- `training.py`: Model training with eSPA, XGBoost, Random Forest, KNN
|
||||||
- `inference.py`: Prediction generation
|
- `inference.py`: Prediction generation
|
||||||
|
|
||||||
## Coding Standards
|
## Coding Standards
|
||||||
|
|
|
||||||
Loading…
Add table
Add a link
Reference in a new issue