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Studying deep-seated catastrophic landslides is challenging due to their complex geological conditions, slow and imperceptible movements, limited real-time monitoring, and difficulties in accurately assessing sliding behavior. We examine slope instability in a deep-seated landslide-prone area located in Lantai, Taiwan, by analyzing the temporal evolutions of slope movement and rainfall. Using a non-invasive automatic monitorin...
Multi‐Decadal Dynamics of Wetland Methane Emissions Revealed by Knowledge‐Guided Machine LearningNARA Subscribed
Measurement of methane fluxes (FCH 4 ) from natural systems, such as wetlands, has lagged far behind carbon dioxide fluxes. Short and fragmented wetland FCH 4 data limit our ability to assess its long‐term dynamics and potential climate feedbacks. Extrapolating short‐term FCH 4 records to recent decades remains challenging for both process‐based models and data‐driven machine learning (ML) approaches. Here, we develop a knowle...