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Gradle Workshop Material and Code Base
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Random Forest classification over Sentinel-2 data using training labels from OSM landcover database
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extracts data from an oshdb ignite cluster for a specified bounding box region and saves it into a H2 oshdb file
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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.
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This tool transfromes single OSM elements into feature vectors for attribute investiation and machine learning.
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Code sharing point for data processing of OSM based multitags on Sentinel 2 patches.
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Comparative analyses for OSM and Wikidata
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Comparison of OSM and ATKIS land use classes, intersections and symmetrical differences, possible grouping