Abstract: Using remotely sensed data and stochastic models to simulate realistic flood hazard footprints across the continental US (2017 AGU Fall Meeting)

Using remotely sensed data and stochastic models to simulate realistic flood hazard footprints across the continental US

Paul D Bates¹, Niall Quinn², Christopher Charles Sampson³, Andy Smith², Oliver Wing³ and Jeffrey C Neal⁴, (1)University of Bristol, School of Geographical Sciences, Bristol, United Kingdom, (2)Fathom, Bristol, United Kingdom, (3)SSBN Ltd, Bristol, United Kingdom, (4)University of Bristol, School of Geographical Sciences, Bristol, BS8, United Kingdom

Back to: Remote Sensing of Rivers and Lakes I