Land-use mapping with a Discrete Global Grid System
summary
Manaaki Whenua builds high‑resolution land‑use maps by indexing rasters and vectors into an H3 DGGS grid, converting Sentinel‑2 10‑band images and parcel polygons with the command‑line tools raster2dgs and vector2dgs, and storing results as GeoParquet column‑oriented files. Cells are H3 64‑bit addresses (~40 m² at the resolution shown), partitions use H3 grandparent indexes for parallel processing, compression and denormalized attributes keep datasets smaller than originals, and maps are classified to ALUM v8 and can be rejoined back to parcel geometries.
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chapters (8)
- 0:00Introduction to DGGS
- 1:05Raster vs Vector limitations
- 5:22What is a DGGS
- 9:36Open source tools for DGGS
- 12:50Column-oriented data benefits
- 16:01Partitioning and parallel processing
- 18:08Land use mapping with DGGS
- 20:37Q&A session
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