Jun.-Prof. Dr. Stefan Oehmcke, head of the chair Visual and Analytic Computing in Ocean Technologies (Institute for Visual and Analytic Computing, University of Rostock), will give a presentation in the topic
"Learning from Temporal-Spatial Data to Monitor our Environment: Methods and Applications"
as part of the VAC Colloquium.
Afterwards we look forward to discussions while enjoying coffee and cookies.
The event is open to anyone interested.
Abstract:
Monitoring environmental change requires robust methods capable of handling the complexity of temporal-spatial data across diverse ecosystems. In this talk, I present my recent work leveraging machine learning and deep learning techniques applied to remote sensing data to address key challenges in environmental monitoring. Focusing on methods such as segmentation, regression, and representation learning, I demonstrate how these approaches enhance the analysis of satellite imagery and aerial point clouds. Through applications to forests and wetlands, we show how advanced learning techniques can offer critical insights for environmental management.