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2018 | OriginalPaper | Chapter

Spatio-Temporal Drought Identification Through Mathematical Morphology

Authors : Hilde Vernieuwe, Bernard De Baets, Niko E. C. Verhoest

Published in: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

Publisher: Springer International Publishing

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Abstract

Droughts are initiated by a lack of precipitation over a large area and a long period of time. In order to be able to estimate the possible impacts of droughts, it is important to identify and characterise these events. Describing a drought is, however, not such an easy task as it represents a spatio-temporal phenomenon, with no clear start and ending, trailing from one place to another. This study tries to objectively identify droughts in space and time by applying operators from mathematical morphology. On the basis of the identified droughts, OWA operators are employed to characterise the events in order to aid farmers, water managers, etc. in coping with these events.

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Title: Spatio-Temporal Drought Identification Through Mathematical Morphology
Authors: Hilde Vernieuwe
Bernard De Baets
Niko E. C. Verhoest
Publisher: Springer International Publishing
Book: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
Print ISBN: 978-3-319-91475-6

Electronic ISBN: 978-3-319-91476-3

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-91476-3_24

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