Application of Remote Sensing to Flood Forecasting

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by N. Kouwen, Univ of Waterloo, Canada,
E. D. Soulis, Univ of Waterloo, Canada,
A. Pietroniro, Univ of Waterloo, Canada,
R. A. Harrington, Univ of Waterloo, Canada,

Document Type: Proceeding Paper

Part of: Optimizing the Resources for Water Management

Abstract: Forecasting flood flows caused by severe rainfall events relies heavily on a knowledge of the surface characteristics of a watershed and precipitation inputs. This information can be obtained from remotely sensed data, namely, satellite derived land use/land cover information and precipitation measured by radar. The paper provides a description of a flood forecasting system that has been designed specifically to make maximum use of remotely sensed data, both in the calibration and operational stages of the application.

Subject Headings: Forecasting | Floods | Precipitation | Remote sensing | Rain water | Watersheds | Information management | Hydrologic data |

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