Gradle Workshop Material and Code Base

Random Forest classification over Sentinel-2 data using training labels from OSM landcover database

extracts data from an oshdb ignite cluster for a specified bounding box region and saves it into a H2 oshdb file

Examples and Tutorials on how to use the core-project of the OSHDB. This will also hold the workshop-code. It was extracted from the core-project, where it was hosted before today.

This tool transfromes single OSM elements into feature vectors for attribute investiation and machine learning.

Code sharing point for data processing of OSM based multitags on Sentinel 2 patches.

Comparative analyses for OSM and Wikidata

Comparison of OSM and ATKIS land use classes, intersections and symmetrical differences, possible grouping