OpenGeoHub Foundation Official Channel
OpenGeoHub is a not-for-profit research foundation with headquarters in Wageningen, the Netherlands (Stichting OpenGeoHub, KvK 71844570). The main goal of the OpenGeoHub is to promote publishing and sharing of Open Geographical and Geoscientific Data and using and developing of Open Source Software. We believe that the key measure of quality of research in all sciences (and especially in geographical information sciences) is in transparency and reproducibility of the computer code used to generate results.
Nils Broothaerts and The EU Soil Observatory
Luis de Sousa: GRASS GIS automation for Earth Observation with Python, R and Julia
Yu Feng Ho: Introduction of cloud native vector format hands on in Python environment
Edzer Pebesma: Cloud based analysis of Earth Observation data using open source software
Tom Hengl: Spatiotemporal ML 15 practical lessons on how to organize monitoring modelling
Wouter van der Wal: Introduction to the EO Council
Edzer Pebesma: Raster and vector data cubes in R and Python
Nico Lang: Learning From Global Earth Observation Data
Leandro Parente: Monitoring global grassland and pasture areas An integrated approach
NSO Companies Fair Networking borrel
Sander Houweling: Data use in remote sensing of the atmosphere
Deborah C. Stein Zweers: What does high resolution mean? Space-based spectrometry for air quality
Ralf Kohlhaas: Passive optical instruments for Earth Observation
Haili Hu: Introduction to SURF
Serkan Girgin: Monitoring EO workflows with precision for better performance & resource utilization
Maarten Pronk: An introduction to Julia
Pratichhya Sharma: Advanced EO Workflows with Custom Functions in openEO within CDSE
Steffen Fritz: Preventing Catastrophic Climate Change: The Role of In-Situ & citizen science data
Tom Hengl & Alexandre Wadoux: terra package / generating sampling designs using R
Luis de Sousa: Introduction to GRASS GIS as a spatial analysis engine
Pratichhya Sharma: Introduction to openEO within the Copernicus Data Space Ecosystem
Luis de Sousa: Discrete Global Grid Systems Awareness raising about the future of GIS
Yu-Feng Ho: Geomorphometry high performance computing using GRASS GIS, and WhiteboxTools in Python
Davide Consoli: Space time mapping at 30 m resolution based on Landsat ARCO data
Pontus Lurcock: Application Packages in the xcube ecosystem
Marc Middendorp: Introduction to NSO
Jeroen Rietjens: Processing PACE data with Python get a polarized hyperspectral view of the Earth
Ad Stoffelen: Observing earth system dynamics on weather and climate scales
Nico Lang: Learning Representations From Engineering Features to Engineering Pretext Tasks
Jochen Landgraf: Greenhouse Gas Remote Sensing using Absorption Spectroscopy Hands on experience