Ghent University Academic Bibliography

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- Journal Article
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Identification of compound drought and heatwave events on a daily scale and across four seasons

Baoying Shan (UGent) , Niko Verhoest (UGent) and Bernard De Baets (UGent)

(2024) HYDROLOGY AND EARTH SYSTEM SCIENCES. 28(9). p.2065-2080
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- A1
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Future multivariate weather generation by combining Bartlett-Lewis and vine copula models

Jorn Van de Velde (UGent) , Matthias Demuzere (UGent) , Bernard De Baets (UGent) and Niko Verhoest (UGent)

(2023) HYDROLOGICAL SCIENCES JOURNAL. 68(1). p.1-15
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- Conference Paper
- C3
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Long-short term memory networks as observation operator for the states in a conceptual hydrological model

Olivier Bonte (UGent) , Hans Lievens (UGent) and Niko Verhoest (UGent)

(2023) EGU General Assembly 2023, Abstracts.
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Green area index and soil moisture retrieval in maize fields using multi-polarized C- and L-band SAR data and the water cloud model

Jean Bouchat, Emma Tronquo (UGent) , Anne Orban, Xavier Neyt, Niko Verhoest (UGent) and Pierre Defourny

(2022) REMOTE SENSING. 14(10).
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Soil moisture retrieval using multistatic L-band SAR and effective roughness modeling

Emma Tronquo (UGent) , Hans Lievens, Jean Bouchat, Pierre Defourny, Nicolas Baghdadi and Niko Verhoest (UGent)

(2022) REMOTE SENSING. 14(7).
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Assessing the potential of fully polarimetric mono- and bistatic SAR acquisitions in L-band for crop and soil monitoring

Jean Bouchat, Emma Tronquo (UGent) , Anne Orban, Niko Verhoest (UGent) and Pierre Defourny

(2022) IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. 15. p.3168-3178
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Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods : a case study on data from Uccle, Belgium

Jorn Van de Velde (UGent) , Matthias Demuzere (UGent) , Bernard De Baets (UGent) and Niko Verhoest (UGent)

(2022) HYDROLOGY AND EARTH SYSTEM SCIENCES. 26(9). p.2319-2344
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A roadmap for high-resolution satellite soil moisture applications : confronting product characteristics with user requirements

Jian Peng, Clement Albergel, Anna Balenzano, Luca Brocca, Oliver Cartus, Michael H. Cosh, Wade T. Crow, Katarzyna Dabrowska-Zielinska, Simon Dadson, Malcolm W. J. Davidson, et al.

(2021) REMOTE SENSING OF ENVIRONMENT. 252.
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Towards operational flood monitoring in Flanders using Sentinel-1

Lisa Landuyt (UGent) , Frieke Vancoillie (UGent) , Bram Vogels, Joost Dewelde and Niko Verhoest (UGent)

(2021) IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. 14. p.11004-11018
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Exploring the effect of occurrence-bias-adjustment assumptions on hydrological impact modeling

Jorn Van de Velde (UGent) , Matthias Demuzere (UGent) , Bernard De Baets (UGent) and Niko Verhoest (UGent)

(2021) WATER. 13(11).

Academic Bibliography

Identification of compound drought and heatwave events on a daily scale and across four seasons

Future multivariate weather generation by combining Bartlett-Lewis and vine copula models

Long-short term memory networks as observation operator for the states in a conceptual hydrological model

Green area index and soil moisture retrieval in maize fields using multi-polarized C- and L-band SAR data and the water cloud model

Soil moisture retrieval using multistatic L-band SAR and effective roughness modeling

Assessing the potential of fully polarimetric mono- and bistatic SAR acquisitions in L-band for crop and soil monitoring

Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods : a case study on data from Uccle, Belgium

A roadmap for high-resolution satellite soil moisture applications : confronting product characteristics with user requirements

Towards operational flood monitoring in Flanders using Sentinel-1

Exploring the effect of occurrence-bias-adjustment assumptions on hydrological impact modeling

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