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Assessing hydrologic prediction uncertainty resulting from soft land cover classification

Lien Loosvelt (UGent) , Bernard De Baets (UGent) , Valentijn Pauwels (UGent) and Niko Verhoest (UGent)
(2014) JOURNAL OF HYDROLOGY. 517. p.411-424
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Keywords
PROPAGATION, ERROR, RESOLUTION, DISTRIBUTION MODELS, SENSITIVITY, IMPACT, SPATIALLY-VARIABLE WATER, RANDOM FORESTS, ENERGY-BALANCE PROCESSES, ATMOSPHERE TRANSFER SCHEME, Hydrology, Land cover map, Random Forests, Optical imagery, Classification uncertainty, Monte Carlo simulation

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Please use this url to cite or link to this publication:

MLA
Loosvelt, Lien, Bernard De Baets, Valentijn Pauwels, et al. “Assessing Hydrologic Prediction Uncertainty Resulting from Soft Land Cover Classification.” JOURNAL OF HYDROLOGY 517 (2014): 411–424. Print.
APA
Loosvelt, L., De Baets, B., Pauwels, V., & Verhoest, N. (2014). Assessing hydrologic prediction uncertainty resulting from soft land cover classification. JOURNAL OF HYDROLOGY, 517, 411–424.
Chicago author-date
Loosvelt, Lien, Bernard De Baets, Valentijn Pauwels, and Niko Verhoest. 2014. “Assessing Hydrologic Prediction Uncertainty Resulting from Soft Land Cover Classification.” Journal of Hydrology 517: 411–424.
Chicago author-date (all authors)
Loosvelt, Lien, Bernard De Baets, Valentijn Pauwels, and Niko Verhoest. 2014. “Assessing Hydrologic Prediction Uncertainty Resulting from Soft Land Cover Classification.” Journal of Hydrology 517: 411–424.
Vancouver
1.
Loosvelt L, De Baets B, Pauwels V, Verhoest N. Assessing hydrologic prediction uncertainty resulting from soft land cover classification. JOURNAL OF HYDROLOGY. 2014;517:411–24.
IEEE
[1]
L. Loosvelt, B. De Baets, V. Pauwels, and N. Verhoest, “Assessing hydrologic prediction uncertainty resulting from soft land cover classification,” JOURNAL OF HYDROLOGY, vol. 517, pp. 411–424, 2014.
@article{5710370,
  author       = {Loosvelt, Lien and De Baets, Bernard and Pauwels, Valentijn and Verhoest, Niko},
  issn         = {0022-1694},
  journal      = {JOURNAL OF HYDROLOGY},
  keywords     = {PROPAGATION,ERROR,RESOLUTION,DISTRIBUTION MODELS,SENSITIVITY,IMPACT,SPATIALLY-VARIABLE WATER,RANDOM FORESTS,ENERGY-BALANCE PROCESSES,ATMOSPHERE TRANSFER SCHEME,Hydrology,Land cover map,Random Forests,Optical imagery,Classification uncertainty,Monte Carlo simulation},
  language     = {eng},
  pages        = {411--424},
  title        = {Assessing hydrologic prediction uncertainty resulting from soft land cover classification},
  url          = {http://dx.doi.org/10.1016/j.jhydrol.2014.05.049},
  volume       = {517},
  year         = {2014},
}

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