t5
proposing-a-top-down-data-driven-framework-to-improve-nasa's-landslide-situational-awareness-system

​نویسندگان : آیدینگ کرنژادی-میثم صمدی-لوئیجی لمباردو


​محل انتشار : 6th World Landslide Forum-2023 Florence Italy


​سال انتشار : 2023


Purpose:
This work pinpoints a discernible paradox in Landslide Hazard Assessment for Situational Awareness
(LHASA): 1) simplicity in avoiding the intrinsic uncertainties stored in each part cascade through the
entire computational process and diminish the value of a more inclusive and integrated analysis, and
2) including enough accessible and achievable components with a controlled level of uncertainty to
provide a representative forecasting map of landslide occurrence. The latter issue would be
surmounted with a
Top-Down strategy