Web-Tool for the supervised classification of earth observation data in OpenEO
In this repo, we collect the handouts for presentations on technical background and concepts required for this year's project task in Geosoftware II at ifgi. These handouts are the core of the preparation of a topic by each student/pair of students. The handout should be prepared in a manner so that fellow students can use it as a starting point for getting up to speed on the new topics and making decisions during their project work. The presenting students remain experts on the topics for future questions and are very welcome to update the documents in this repository during the course. Please follow the process below for creating and submitting your handouts.
Due date: October 11th, 2023, 14:00 hrs CET.
topic-title-no-capitals-with-hyphens-but-not-underscores
)handout.md
file in your folder
handout-submission-<name>
and push it to your forkupstream master
beforehand)The evaluation is conducted based on the content of the handout, the presentation itself, and the discussion afterwards during the course. Be prepared for questions by your fellow students and the teachers, but also prepare some additional content or questions yourself in case there are no comments from the audience.
The goal of the project in this semester is to develop a web-based machine learning toolkit for the supervised classification of earth observation data in OpenEO based on openeocubes. Your main tasks will include adapting/extending the existing API to enable supervised classification on the R backend and developing a simple web front-end through which the classification can be conducted and controlled (e.g., choose data, upload/digitize training data, choose hyperparameters, visualize results). Detailed information about the goals and deliverables will be communicated along with the invitation to bid at the start of the semester.
Your presentations and handouts will serve as preparation by discussing several relevant topics that form the technical background of this project task.
The specific topics will be posted on Wednesday, 30th August, as GitHub issues with label "Topic". Choose a topic by commenting on the respective issue. Make sure you cover at least the mentioned keywords. More is better, but only really better if you evaluate alternatives, phrase opinions, and provide guidelines for your fellow students.