KIBI: AI-based identification and classification of protected plant communities

We are pleased to announce our upcoming research project KIBI!
Together with our partners Koblenz University of Applied Sciences and Forschungszentrum Jülich under the consortium leadership of CISS TDI GmbH, we will tackle the precise mapping of protected plant communities (GPG) using satellite and aerial survey data. We use machine learning to identify and classify GPGs and make the results freely available throughout Rhineland-Palatinate.

Our activities: We develop and evaluate AI methods for the fast and reliable identification and classification of GPGs. Our database includes aerial photographs and multispectral satellite images.

Expected results: A trained AI model for deriving GPGs, including training data and a user-friendly interface, will be available at the end of the project. For Rhineland-Palatinate, we publish a comprehensive mapping of GPGs, which contributes to increasing efficiency in construction projects and in sustainability monitoring.

We look forward to the positive effects of this project! 🌱📊

Funded by the Federal Ministry for Digital and Transport.