Metadata-Version: 2.4
Name: rss_da_stac
Version: 0.0.1
Summary: Utilities for JRSRP users to interact with common STAC providers
Author-email: rdenham <robert.denham@detsi.qld.gov.au>
License-File: LICENSE
Requires-Python: >=3.11
Requires-Dist: planetary-computer>=1.0.0
Requires-Dist: pystac-client<0.10.0
Requires-Dist: pystac>=1.13.0
Requires-Dist: pytz>=2025.2
Requires-Dist: rasterio>=1.4.3
Requires-Dist: shapely>=2.1.1
Requires-Dist: tifftools>=1.6.1
Requires-Dist: typer>=0.16.0
Description-Content-Type: text/markdown

# `rss_da_stac` - Python utilities for interacting with common STAC providers

Remote Sensing Scientists associated with the [JRSRP](https://www.jrsrp.org.au/)
have several established work practices that have been developed over many years,
and predate STAC and cloud-native Earth Observation (EO) data. 

This package is designed To help integrate
their current work approaches with modern data providers via STAC. Of particular
interest is the interoperability of the [`qvf`](https://jrsrp.gitlab.io/sys/meta_info/)
name convention and how that relates to STAC. Several utilities are designed
to work with `qvf` style names, such as 

* `qvf2item`: Convert one or more QVF files to a STAC ItemCollection
* `item2qvf`: Given a stac item or itemcollection, provide the equivalent qvf compliant name for each item. 


see [notes](docs/index.md) for details on the included scripts and the API.



