Overview
This page is designed for long technical documentation, similar in depth to a package documentation site rather than a marketing page.
Tip: each future package or plugin can get its own documentation subdirectory.
Quickstart
pip install agriorbital
from agriorbital import phenology
metrics = phenology.run("sentinel2.zarr")
Installation
Document Python versions, dependency managers, QGIS compatibility, operating-system notes and optional extras.
uv
uv add agriorbital
pip
pip install agriorbital
Typical workflow
- Load raster or xarray data.
- Apply QA and masks.
- Composite or resample the time series.
- Calculate indices or derived metrics.
- Export to analysis-ready formats.
Examples
| Example | Domain | Tools |
|---|---|---|
| 10-day soil moisture mosaic | Agriculture | Sentinel-1, Earth Engine |
| Phenology metrics | Agriculture | xarray, NumPy |
| Terrain wetness index | Hydrology | DEM, QGIS |
| Land-cover classification | GeoAI | scikit-learn |
API reference
agriorbital.indices.ndvi(...) agriorbital.temporal.composite(...) agriorbital.phenology.metrics(...) agriorbital.hydrology.twi(...)