Online Courses
During the semester break we are often represented with courses at summer schools. On this page you find our freely accessible courses and all the material to follow the courses.
Machine learning-based maps of the environment: challenges of extrapolation and overfitting (OpenGeoHub2022)
The OpenGeoHub Summer School took place Online from 28.8 to 3. September 2022. We gave a workshop on „Machine learning-based maps of the environment: challenges of extrapolation and overfitting“. All course material as well as video recordings of the lecture/practical session is available online.
Mapping the area of applicability of spatial prediction models (OpenGeoHub2021)
The OpenGeoHub Summer School took place Online from 1 to 3 September 2021. We gave a workshop on „Mapping the area of applicability of spatial prediction models“. All course material as well as video recordings of the lecture/practical session is available online.
Machine learning for land cover mapping with focus on mapping the area of applicability (OpenGeoHub2020)
The OpenGeoHub Summer School took place in Wageningen from 17 to 22 August 2020. We gave a workshop on „Machine learning for earth observation“ and presented our project on "Mapping the area of applicability of spatial prediction models". All course material as well as video recordings of the lecture and practical session is available online.
Introduction to Deep Learning in R for analysis of UAV-based remote sensing data (OpenGeoHub2020)
The OpenGeoHub Summer School took place in Wageningen from 17 to 22 August 2020. Christian Knoth (IfGI) gave a workshop on „Machine learning for earth observation“. All course material as well as video recordings of the lecture and practical session is available online.
Machine learning for land cover mapping with focus on validation strategies (OpenGeoHub2019)
From 1 to 7 September 2019 the OpenGeoHub Summer School took place in Münster. We were represented with a course on "Machine learning for remote sensing applications". The course material and the recording of the corresponding lecture is available online.
Machine-learning based modelling of spatial and spatio-temporal data (OpenGeoHub 2018)
The OpenGeoHub 2018 took place from 19 to 25 August at the Institute of Botany in Průhonice near Prague. Our course matierial on "Machine-learning based modelling of spatial and spatio-temporal data " is available on GitHub. The course and the lecture are recorded.