(Q61733638)

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The use of remotely sensed land cover to derive floodplain friction coefficients for flood inundation modelling

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The use of remotely sensed land cover to derive floodplain friction coefficients for flood inundation modelling (English)

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M. D. Wilson

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P. M. Atkinson

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2

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publication date

2007

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published in

Hydrological Processes

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volume

21

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issue

26

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page(s)

3576-3586

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Geostatistical classification for remote sensing: an introduction

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Introduction Neural networks in remote sensing

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Reach scale floodplain inundation dynamics observed using airborne synthetic aperture radar imagery: Data analysis and modelling

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7 January 2021

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https://api.crossref.org/works/10.1002%2FHYP.6584

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7 January 2021

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Approaches for the production and evaluation of fuzzy land cover classifications from remotely-sensed data

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Improved simulation of flood flows using storage cell models

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Super-resolution target identification from remotely sensed images using a Hopfield neural network

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10.1002/HYP.6584

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(Q61733638)

The use of remotely sensed land cover to derive floodplain friction coefficients for flood inundation modelling

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