Alexander Kmoch
Alex is an Associate Professor in Geoinformatics and a Distributed Spatial Systems Researcher with many years of experience in open-source geospatial data management and web- and cloud-based geoprocessing with a particular focus on land use, soils, hydrology, hydrogeology and water quality data. His interests include Discrete Global Grid Systems (DGGS), OGC standards and web-services for environmental and geo-scientific data sharing, modelling workflows and interactive geo-scientific visualisation.
Alex completed a Marie Skłodowska-Curie Individual Fellow (MSCA) with our Landscape Geoinformatics working group on improving standardised data preparation, parameterization and parallelisation for hydrological and water quality modelling across scales and has now started a 5-year project on spatial modelling of soil properties using machine-learning.
Sessions
This hands-on workshop walks through a full DGGS data pipeline. You'll use the FOSS tool DGGRID to index geospatial data and then publish it using pydggsapi, a new open-source server for the OGC API DGGS standard. Leave with a running web service on your laptop.
We present a scalable, interoperable, and extensible FOSS architecture for modern geospatial data ecosystem, based on DGGS. Exemplary, we introduce pydggsapi, a Python server implementing the new OGC DGGS API, that can serve large geospatial datasets from cloud-native Zarr and Parquet data stores indexed by a DGGS.
Uber H3 has revolutionized spatial indexing, but its cell sizes vary a lot. I will introduce IGEO7, an aperture 7 hexagonal equal-area DGGS with its hierarchical indexing system Z7. It is now implemented in the open-source software DGGRID and has a handy Python wrapper, dggrid4py.
This presentation covers the development of a national data cube for Estonia, integrating remote sensing data and using open-source tools. It provides analysis-ready data for biodiversity and carbon research, overcoming technical hurdles. User-friendly tools and cloud computing enhance data access, empowering informed decision-making for sustainable development.