Artificial Intelligence #landslide detection#geospatial
Study Finds Hybrid CNN-Clay Model Improves Landslide Detection Accuracy Over Baseline
A study evaluates Clay v1.5, a Geospatial Foundation Model, for pixel-level landslide segmentation on the Landslide4Sense benchmark. The hybrid U-Net + Clay model with two-stage LoRA achieves a test F1 of 64.5%, outperforming both the Clay-only backbone and a standard U-Net baseline.
Jun 17, 2026 1 source