Add draft re-write of intro docs

[robbibt]

Work in progress - intended to showcase key functionality more clearly up-front

# `odc-geo`

The `odc-geo` library provides powerful tools for geospatial data manipulation, including working with coordinate reference systems, grid definitions, and spatial transformations.

The library integrates closely with the Python geospatial ecosystem (including `Shapely` and `pyproj`), providing projection-aware geometry classes that simplify complex geospatial operations. Geo-registered raster analysis is supported through an `.odc.` extension that is automatically added to data loaded using the Open Data Cube or `rioxarray` - exposing important geospatial metadata and a variety of useful and performant geospatial analysis tools.

## Key features
* **Vector and raster reprojection:** Efficiently reproject data between CRSs using high-performance reprojection utilities powered by `Dask`
* **Geospatial metadata handling:** Inspect and manipulate geo-registered raster metadata using a standardised `GeoBox` pixel grid model
* **Spatial grid definition:** Generate precise `GridSpec` analysis tile grids for seamless large-scale analysis
* **Cloud-optimised data:** Export geo-registered raster data into optimised cloud-optimised GeoTIFF files 
* **Spatial analysis:** Tools for rasterising, masking, clipping vector and raster data 
* **Interactive visualisation:** Plot and explore spatial vector and raster data on an interactive map

[github-actions]

🚀 Deployed on https://67495d3f985796ede09d8fb7--odc-geo-docs.netlify.app

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 95.44%. Comparing base (210ae22) to head (d8728d2).

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