Researcher
Niko Verhoest
- Keywords:remote sensing, hydrology, water management
- Disciplines:Water resources management, Remote sensing, Surface water hydrology
Affiliations
- Department of Environment (Department)
Member
From1 Jan 2018 → Today - Department of Forest and water management (Department)
Member
From1 Jan 2012 → 31 Dec 2017 - Department of Forest and water management (Department)
Responsible
From1 Jan 2012 → 31 Dec 2017 - Department of Forest and water management (Department)
Member
From1 Aug 1994 → 31 Dec 2017
Projects
1 - 10 of 29
- Beyond BELSAR bistatic dataset exploitation - BELSAR-PublicationFrom1 Dec 2022 → TodayFunding: BELSPO - STEREO IV ( Support to the Exploitation and Research in Earth Observation data)
- Snow mass observation based on EO data and machine learning - SNOWTRANEFrom1 Dec 2022 → TodayFunding: BELSPO - STEREO IV ( Support to the Exploitation and Research in Earth Observation data)
- SNOW-MODE: Dynamics in mountain snow water resources by modes of climate variability assessed from satellite observationsFrom1 Jan 2022 → TodayFunding: FWO research project
- Cooperation agreement for the preparation of dynamic water balances with calculation of scenarios for a climate-robust East Flemish water policyFrom1 Oct 2021 → TodayFunding: Provinces
- Towards Reliable Land Cover Change Detection from Multi-Sensor Data (REALISE)From1 Oct 2021 → TodayFunding: BOF - projects
- PRODEX Experiment AgreementFrom1 May 2020 → 31 Dec 2021Funding: ESA incl. Intelsat
- Development of a drought monitoring and early-warning system for the central highlands of VietnamFrom1 Jan 2020 → 31 Aug 2022Funding: VLIR-UOS South Initiatives
- Soil and crop monitoring from simultaneous mono- and bistatic radar observations (BELSAR)From1 Dec 2018 → 30 Apr 2022Funding: Other federal scientific institutions
- Stochastic modelling of future extreme discharges as a tool for water resources engineeringFrom1 Jan 2018 → 31 Dec 2021Funding: FWO research project
- Technical assistance for the deployment of an L-band SAR system to perform bistatic and interferometric SAR measurements during the 2015/2016 ESA BELSAR campaignFrom7 Sep 2016 → 2 Apr 2018Funding: EU - out of framework - indefinite
Publications
1 - 10 of 160
- Soil moisture retrieval using multistatic L-band SAR and effective roughness modeling(2022)
Authors: Emma Tronquo, Hans Lievens, Jean Bouchat, Pierre Defourny, Nicolas Baghdadi, Niko Verhoest
- Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods : a case study on data from Uccle, Belgium(2022)
Authors: Jorn Van de Velde, Matthias Demuzere, Bernard De Baets, Niko Verhoest
Pages: 2319 - 2344 - Green area index and soil moisture retrieval in maize fields using multi-polarized C- and L-band SAR data and the water cloud model(2022)
Authors: Jean Bouchat, Emma Tronquo, Anne Orban, Xavier Neyt, Niko Verhoest, Pierre Defourny
- Assessing the potential of fully polarimetric mono- and bistatic SAR acquisitions in L-band for crop and soil monitoring(2022)
Authors: Jean Bouchat, Emma Tronquo, Anne Orban, Niko Verhoest, Pierre Defourny
Pages: 3168 - 3178 - Exploring the effect of occurrence-bias-adjustment assumptions on hydrological impact modeling(2021)
Authors: Jorn Van de Velde, Matthias Demuzere, Bernard De Baets, Niko Verhoest
- Assessment of irrigation expansion and implications for water resources by using RS and GIS techniques in the Lake Tana Basin of Ethiopia(2021)
Authors: Abebech Abera, Niko Verhoest, Seifu Tilahun, Hilary Inyang, Jan Nyssen
- Towards operational flood monitoring in Flanders using Sentinel-1(2021)
Authors: Lisa Landuyt, Friedl Vancoillie, Bram Vogels, Joost Dewelde, Niko Verhoest
Pages: 11004 - 11018 - Effective drought communication : using the past to assess the present and anticipate the future(2021)
Authors: Hilde Vernieuwe, Bernard De Baets, Niko Verhoest
- A roadmap for high-resolution satellite soil moisture applications : confronting product characteristics with user requirements(2021)
Authors: 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.
- 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(2020)
Authors: Renaud Hostache, Dominik Rains, Kaniska Mallick, Marco Chini, Ramona Pelich, Hans Lievens, Fabrizio Fenicia, Giovanni Corato, Niko Verhoest, Patrick Matgen
Pages: 4793 - 4812