The Capacity of Generative Models to Synthesize Regional Landslide and Non-Landslide Remote Sensing Imagery Under Data-Scarce Scenarios: Insights from Multimodal Foundation Models
Landslide interpretation based on remote sensing data is pivotal for efficient emergency response and risk management. However, the scarcity of high-quality landslide data remains a major bottleneck for data-driven landslide analysis. To address this challenge, this study investigates the potential of multimodal founda...