dr. Dominik Rains

Journal Article
A1
open access

High-resolution satellite products improve hydrological modeling in northern Italy

Lorenzo Alfieri, Francesco Avanzi, Fabio Delogu, Simone Gabellani, Giulia Bruno, Lorenzo Campo, Andrea Libertino, Christian Massari, Angelica Tarpanelli, Dominik Rains (UGent) , et al.

(2022) HYDROLOGY AND EARTH SYSTEM SCIENCES. 26(14). p.3921-3939

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Journal Article
A1
open access

A deep learning-based hybrid model of global terrestrial evaporation

Akash Koppa (UGent) , Dominik Rains (UGent) , Petra Hulsman (UGent) , Rafael Poyatos and Diego Miralles (UGent)

(2022) NATURE COMMUNICATIONS. 13(1).

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Book Chapter

Ten years of GLEAM : a review of scientific advances and applications

Mojtaba Naghdyzadegan Jahromi (UGent) , Diego Miralles (UGent) , Akash Koppa (UGent) , Dominik Rains (UGent) , Shahrokh Zand-Parsa, Hamidreza Mosaffa and Sajad Jamshidi

(2022) Computational intelligence for water and environmental sciences. In Studies in Computational Intelligence 1043. p.525-540

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Journal Article
A1
open access

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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Global climate

Robert J. H. Dunn, F. Aldred, Nadine Gobron, John B. Miller, Kate M. Willett, M. Ades, Robert Adler, Richard, P. Allan, Rob Allan, J. Anderson, et al.

(2021) BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY. 102(8). p.S11-S142

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Journal Article
A1
open access

Assimilation of Soil Moisture and Ocean Salinity (SMOS) brightness temperature into a large-scale distributed conceptual hydrological model to improve soil moisture predictions : the Murray-Darling basin in Australia as a test case

Renaud Hostache, Dominik Rains (UGent) , Kaniska Mallick, Marco Chini, Ramona Pelich, Hans Lievens (UGent) , Fabrizio Fenicia, Giovanni Corato, Niko Verhoest (UGent) and Patrick Matgen

(2020) HYDROLOGY AND EARTH SYSTEM SCIENCES. 24(10). p.4793-4812

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Journal Article
A1
open access

Woody aboveground biomass mapping of the Brazilian savanna with a multi-sensor and machine learning approach

Polyanna da Conceição Bispo, Pedro Rodríguez-Veiga, Barbara Zimbres, Sabrina do Couto de Miranda, Cassio Henrique Giusti Cezare, Sam Fleming, Francesca Baldacchino, Valentin Louis, Dominik Rains (UGent) , Mariano Garcia, et al.

(2020) REMOTE SENSING. 12(17).

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Journal Article
A1
open access

Mapping forest successional stages in the Brazilian Amazon using forest heights derived from TanDEM-X SAR interferometry

Polyanna Da Conceicao Bispo, Matteo Pardini, Konstantinos P. Papathanassiou, Florian Kugler, Heiko Balzter, Dominik Rains (UGent) , Joao Roberto dos Santos, Igor G. Rizaev, Kevin Tansey, Maiza Nara dos Santos, et al.

(2019) REMOTE SENSING OF ENVIRONMENT. 232.

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PhD Thesis
open access

L-band brightness temperature assimilation into a distributed hydrological model : application to the Community Land Model over Australia

Dominik Rains (UGent)

(2019)

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SMOS and SMAP brightness temperature assimilation over the Murrumbidgee Basin

Dominik Rains (UGent) , Gabrielle JM De Lannoy, Hans Lievens (UGent) , Jeffrey P Walker and Niko Verhoest (UGent)

(2018) IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 15(11). p.1652-1656

Academic Bibliography

dr. Dominik Rains

High-resolution satellite products improve hydrological modeling in northern Italy

A deep learning-based hybrid model of global terrestrial evaporation

Ten years of GLEAM : a review of scientific advances and applications

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

Global climate

Assimilation of Soil Moisture and Ocean Salinity (SMOS) brightness temperature into a large-scale distributed conceptual hydrological model to improve soil moisture predictions : the Murray-Darling basin in Australia as a test case

Woody aboveground biomass mapping of the Brazilian savanna with a multi-sensor and machine learning approach

Mapping forest successional stages in the Brazilian Amazon using forest heights derived from TanDEM-X SAR interferometry

L-band brightness temperature assimilation into a distributed hydrological model : application to the Community Land Model over Australia

SMOS and SMAP brightness temperature assimilation over the Murrumbidgee Basin

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