A geometric and deep learning reproducible pipeline for monitoring floating anthropogenic debris in urban rivers using in situ cameras.
Grimmer et al., 2026 - ISPRS Open Journal of Photogrammetry and Remote Sensing
A simple and low-cost method using active radio frequency identification to survey the mobility of plastic debris in rivers
Chardon et al., 2025 - Science of the Total Environment
Where are the fences? Large-scale fence detection using deep learning and multimodal aerial imagery
Wenger et al, 2025 - Remote Sensing Applications: Society and Environment
Automatic detection of in-stream river wood from random forest machine learning and exogenous indices using very high-resolution aerial imagery
Grimmer at al., 2025 - Environmental Modelling & Software
Assessing the impacts of regulation works on an Upper Rhine reach for developing a process-based restoration framework
Chardon et al., 2025 - Geomorphology
RiverDetectWood: A tool for automatic classification and quantification of river wood in river systems using aerial imagery
Grimmer et al., 2025 - SoftwareX