Daniel Loos
I'm a postdoctoral researcher at the Max Planck Institute for Biogeochemistry in Jena, Germany. Originally coming from a bioinformatics background, I now work on software and data formats making geospatial data like satellite imagery less distorted.
Session
08-12
10:30
15min
DGGS.jl: Discrete Global Grid System Native Data Cubes
Daniel Loos
Discrete Global Grid Systems (DGGS) allow minimizing spatial distortions in geospatial image processing, among others. Here we present DGGS.jl, a Julia package to work with DGGS native data cubes using Zarr.jl and YAXArrays.jl. It transforms any raster image from a traditional projection into memory-efficient N-dimensional arrays, following one unified global coordinate system without overlapping tiles, e.g., for bounding box queries, spatial aggregation, or visualization in QGIS.
Geospatial minisymposium
Room 3