Ghent University Academic Bibliography

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A machine learning approach for estimating snow depth across the European Alps from Sentinel-1 imagery

Devon Dunmire, Hans Lievens (UGent) , Lucas Boeykens (UGent) and Gabrielle J. M. De Lannoy

(2024) REMOTE SENSING OF ENVIRONMENT. 314.
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Assimilation of Sentinel-1 backscatter to update AquaCrop estimates of soil moisture and crop biomass

Shannon de Roos, Michel Bechtold, Louise Busschaert, Hans Lievens (UGent) and Gabrielle J. M. De Lannoy

(2024) JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES. 129(10).
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Contributions of irrigation modeling, soil moisture and snow data assimilation to high-resolution water budget estimates over the Po Basin : progress towards digital replicas

Gabrielle J. M. De Lannoy, Michel Bechtold, Louise Busschaert, Zdenko Heyvaert, Sara Modanesi, Devon Dunmire, Hans Lievens (UGent) , Augusto Getirana and Christian Massari

(2024) JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS. 16(10).
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Sentinel-1 backscatter assimilation using support vector regression or the water cloud model at European soil moisture sites

Dominik Rains (UGent) , Hans Lievens (UGent) , Gabrielle J. M. De Lannoy, Matthew F. McCabe, Richard A. M. de Jeu and Diego Miralles (UGent)

(2022) IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 19.
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Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP

Sara Modanesi, Christian Massari, Michel Bechtold, Hans Lievens (UGent) , Angelica Tarpanelli, Luca Brocca, Luca Zappa and Gabriëlle J. M. De Lannoy

(2022) HYDROLOGY AND EARTH SYSTEM SCIENCES. 26(18). p.4685-4706
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Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication

Gabriëlle J. M. De Lannoy, Michel Bechtold, Clément Albergel, Luca Brocca, Jean-Christophe Calvet, Alberto Carrassi, Wade T. Crow, Patricia de Rosnay, Michael Durand, Barton Forman, et al.

(2022) FRONTIERS IN WATER. 4.
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Optimizing a backscatter forward operator using Sentinel-1 data over irrigated land

Sara Modanesi, Christian Massari, Alexander Gruber, Hans Lievens (UGent) , Angelica Tarpanelli, Renato Morbidelli and Gabrielle J. M. De Lannoy

(2021) HYDROLOGY AND EARTH SYSTEM SCIENCES. 25(12). p.6283-6307
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Global assessment of the SMAP level-4 surface and root-zone soil moisture product using assimilation diagnostics

Rolf H. Reichle, Gabrielle J. M. De Lannoy, Qing Liu, Randal D. Koster, John S. Kimball, Wade T. Crow, Joseph V. Ardizzone, Purnendu Chakraborty, Douglas W. Collins, Austin L. Conaty, et al.

(2017) JOURNAL OF HYDROMETEOROLOGY. 18(12). p.3217-3237

Academic Bibliography

A machine learning approach for estimating snow depth across the European Alps from Sentinel-1 imagery

Assimilation of Sentinel-1 backscatter to update AquaCrop estimates of soil moisture and crop biomass

Contributions of irrigation modeling, soil moisture and snow data assimilation to high-resolution water budget estimates over the Po Basin : progress towards digital replicas

Sentinel-1 backscatter assimilation using support vector regression or the water cloud model at European soil moisture sites

Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP

Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication

Optimizing a backscatter forward operator using Sentinel-1 data over irrigated land

Global assessment of the SMAP level-4 surface and root-zone soil moisture product using assimilation diagnostics

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