TECHNICAL PAPERS
Nov 1, 1989

Remote Sensing and Fully Distributed Modeling for Flood Forecasting

Publication: Journal of Water Resources Planning and Management
Volume 115, Issue 6

Abstract

The advantage of introducing Landsat‐derived land‐cover information into a flood‐flow forecasting model is examined. Two modeling alternatives, with and without Landsat data, were applied to 10 km by 10 km grid sizes. The landcover information is primarily derived from Landsat imagery and used directly for rainfall‐excess estimation and runoff routing. Runoff is calculated separately for each of six land‐use/land‐cover classifications for each watershed element. Without Landsat data the model is a lumped‐parameter mpdel, while with Landsat data it is a fully distributed model. The advantage of calculating runoff for each landuse/land‐cover class separately is that a watershed element can be substantially larger than a typical homogeneous hydrologic unit. The paper reports that the improvement of predicting flood peaks and total runoff gained by using Landsat data is at the 10% level of significance.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 115Issue 6November 1989
Pages: 809 - 823

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Published online: Nov 1, 1989
Published in print: Nov 1989

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Tao Tao
Res. Asst., Dept. of Civ. Engrg., Univ. of Waterloo, Waterloo, Ontario, N2L 3G1, Canada
Nicholas Kouwen, Member, ASCE
Assoc. Prof., Dept. of Civ. Engrg., Univ. of Waterloo, Waterloo, Ontario, N2L 3G1, Canada

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