Application of Remote Sensing to Flood Forecasting

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: Floods | Sensors and sensing | Forecasting | Precipitation | Watersheds | Rain water | Satellites

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