The article describes the cascading hazards of the Earth's surface as chain events that are triggered after initial natural disasters such as earthquakes, fires or floods[1][2]. Examples are seismic slope movements immediately after an earthquake or debris flows months after wildfires in California[1][3]. These events change the Earth's surface and increase the risk of further disasters, such as flooding in West Virginia or North Carolina after Hurricane Helena[2][4]. The authors, led by Brian Yanites of Indiana University, propose a framework to better predict these cascades using new models linking atmospheric, geological and biological processes[1][2]. Advances in remote sensing, drones, and satellites provide accurate data to calibrate models[1][3]. The study highlights the collaboration of dozens of researchers at the $15 million NSF-funded CLaSH Center[4][6]. These innovations are intended to help strengthen the resilience of communities against cascading risks[1][3].