Land-use mapping with a Discrete Global Grid System
10-17, 13:40– (Pacific/Auckland), Te Iringa

This talk will demonstrate how Manaaki Whenua – Landcare Reseach has been using the H3 Discrete Global Grid System (DGGS) to perform land-use mapping according to an established land-use classification system.

We have been using the H3 DGGS with various OS GIS tools and standards (GDAL/OGR, PostgreSQL/PostGIS, GeoParquet, Dask, GeoPandas) to efficiently compute high-resolution land-use maps of parts of New Zealand against a variety of classification systems, most recently the Australian Land Use and Management Classification Version 8 (ALUM).

You will learn about our automated workflow, which can efficiently combine a large number of raster and vector datasets through the use of a DGGS. You will get an introduction to DGGS, which we think is best thought about as a third-way between the vector and raster data models. You will see how a DGGS approach to geospatial computation lends itself well to parallel computation, because of the nested hierarchical nature of DGGS cells—which is a compelling advantage over existing methods that work within either the raster or vector data models.

I'm Richard, a GIS Analyst/Developer at Manaaki Whenua – Landcare Research based in Palmerston North. I'm currently thinking a lot about about the use of Discrete Global Grid Systems and how they embody a truly digital geographic information system.

I've worked in GIS across a range of domains including public transport modelling (subject of my Master's thesis), and in web development for third-party logistics and oceanography/meteorology, including some time spent freelancing.