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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.
Keywords
Mathematical morphology, Droughts, Spatio-temporal, OWA operators, QUANTIFICATION, EVAPORATION

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Citation

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MLA
Vernieuwe, Hilde, et al. “Spatio-Temporal Drought Identification through Mathematical Morphology.” Information Processing and Management of Uncertainty in Knowledge-Based Systems : Theory and Foundations, Pt II, edited by Jesús Medina et al., vol. 854, Springer, 2018, pp. 287–98.
APA
Vernieuwe, H., De Baets, B., & Verhoest, N. (2018). Spatio-temporal drought identification through mathematical morphology. In J. Medina, M. Ojeda-Aciego, J. L. Verdegay, D. A. Pelta, I. P. Cabrera, B. Bouchon-Meunier, & R. R. Yager (Eds.), Information processing and management of uncertainty in knowledge-based systems : theory and foundations, pt II (Vol. 854, pp. 287–298). Berlin, Germany: Springer.
Chicago author-date
Vernieuwe, Hilde, Bernard De Baets, and Niko Verhoest. 2018. “Spatio-Temporal Drought Identification through Mathematical Morphology.” In Information Processing and Management of Uncertainty in Knowledge-Based Systems : Theory and Foundations, Pt II, edited by Jesús Medina, Manuel Ojeda-Aciego, José Luis Verdegay, David A Pelta, Inma P Cabrera, Bernadette Bouchon-Meunier, and Ronald R Yager, 854:287–98. Berlin, Germany: Springer.
Chicago author-date (all authors)
Vernieuwe, Hilde, Bernard De Baets, and Niko Verhoest. 2018. “Spatio-Temporal Drought Identification through Mathematical Morphology.” In Information Processing and Management of Uncertainty in Knowledge-Based Systems : Theory and Foundations, Pt II, ed by. Jesús Medina, Manuel Ojeda-Aciego, José Luis Verdegay, David A Pelta, Inma P Cabrera, Bernadette Bouchon-Meunier, and Ronald R Yager, 854:287–298. Berlin, Germany: Springer.
Vancouver
1.
Vernieuwe H, De Baets B, Verhoest N. Spatio-temporal drought identification through mathematical morphology. In: Medina J, Ojeda-Aciego M, Verdegay JL, Pelta DA, Cabrera IP, Bouchon-Meunier B, et al., editors. Information processing and management of uncertainty in knowledge-based systems : theory and foundations, pt II. Berlin, Germany: Springer; 2018. p. 287–98.
IEEE
[1]
H. Vernieuwe, B. De Baets, and N. Verhoest, “Spatio-temporal drought identification through mathematical morphology,” in Information processing and management of uncertainty in knowledge-based systems : theory and foundations, pt II, Cadiz, Spain, 2018, vol. 854, pp. 287–298.
@inproceedings{8628850,
  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.},
  author       = {Vernieuwe, Hilde and De Baets, Bernard and Verhoest, Niko},
  booktitle    = {Information processing and management of uncertainty in knowledge-based systems : theory and foundations, pt II},
  editor       = {Medina, Jesús and Ojeda-Aciego, Manuel and Verdegay, José Luis and Pelta, David A and Cabrera, Inma P and Bouchon-Meunier, Bernadette and Yager, Ronald R},
  isbn         = {9783319914756},
  issn         = {1865-0929},
  keywords     = {Mathematical morphology,Droughts,Spatio-temporal,OWA operators,QUANTIFICATION,EVAPORATION},
  language     = {eng},
  location     = {Cadiz, Spain},
  pages        = {287--298},
  publisher    = {Springer},
  title        = {Spatio-temporal drought identification through mathematical morphology},
  url          = {http://dx.doi.org/10.1007/978-3-319-91476-3_24},
  volume       = {854},
  year         = {2018},
}

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