Tutorials¶
Hands-on notebooks for learning Rasteret step by step.
Start with 01 and 02; they cover the most common workflows. Run
rasteret datasets list to see all built-in datasets, then pick one for
build(). 03 shows how to work with existing Parquet files that aren't
from a STAC API. The rest cover filtering and custom configurations.
| Tutorial | What you'll learn |
|---|---|
| Quickstart: xarray | build() a Collection, fetch pixels as xarray, compute NDVI |
| TorchGeo Integration | Plug a Rasteret Collection into a TorchGeo training pipeline |
| Building from Parquet | build_from_table() with real data from Source Cooperative + DuckDB exploration |
| Parquet-first Filtering | Cache once, filter anywhere with Arrow predicates |
| Configuring Custom Collections | Cloud configs, band mappings, and storage backends for non-built-in datasets |
| TorchGeo Benchmark | Side-by-side performance comparison with native TorchGeo |
Which build function?
Tutorials 01-02 use build(), which looks up STAC API details from the
dataset catalog. Tutorial 03 uses
build_from_table() for existing Parquet files. For custom STAC APIs not
in the catalog, use build_from_stac(); see
Collection Management.