2023-10-05, 11:15–12:45, EURAC Conference Hall
Raster data cube is a four-dimensional array with dimensions x (longitude / easting), y (latitude /northing), time, and bands sharing a: (1) single spatial reference system, (2) constant spatial cell size, (3) constant temporal duration, (4) temporal reference defined by a simple start and end date / time, resulting in a single attribute value for every dimension combination. Building a data cube consists basically in converting raw irregular raster data into a regular and dense structure, which may include information loss and needs to consider user definitions and application restrictions.
In this session you will learn how to access a collection of images through the existing SpatioTemporal Asset Catalogs (STAC), build a custom raster data cube and publish it as Cloud Optimized GeoTIFF (COG) in your own STAC solution. You will also learn how to access it through QGIS and a customized WebGIS solution. The workflow will be implemented in Python using pystac, stackstac, eumap and leafmap.
Software in use:
- https://av.tib.eu/media/59777
- http://eumap.readthedocs.org
- https://stackstac.readthedocs.io
- https://pystac.readthedocs.io
- https://leafmap.org/
OEMC Grant agreement ID: 101059548
OpenGeoHub senior researcher