Niko Verhoest

Ghent University

Belgium

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Articles (13)

GLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near present

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Year:

2025

The BELSAR dataset: Mono- and bistatic full-pol L-band SAR for agriculture and hydrology

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Year:

2024

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

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Year:

2024

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

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Year:

2022

Green Area Index and Soil Moisture Retrieval in Maize Fields Using Multi-Polarized C- and L-Band SAR Data and the Water Cloud Model

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Year:

2022

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

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Year:

2022

Soil Moisture Retrieval Using Multistatic L-Band SAR and Effective Roughness Modeling

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Year:

2022

Assessing the Potential of Fully Polarimetric Mono- and Bistatic SAR Acquisitions in L-Band for Crop and Soil Monitoring

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Year:

2022

Exploring the Effect of Occurrence-Bias-Adjustment Assumptions on Hydrological Impact Modeling

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Year:

2021

Effective Drought Communication: Using the Past to Assess the Present and Anticipate the Future

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Year:

2021

Towards Operational Flood Monitoring in Flanders Using Sentinel-1

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Year:

2021

Flood Mapping in Vegetated Areas Using an Unsupervised Clustering Approach on Sentinel-1 and -2 Imagery

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Year:

2020

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

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Year:

2020

Collaborators (3)

Frieke Van Coillie

Ghent University

BELGIUM

Diego Miralles

Professor at Ghent University

Ghent University

BELGIUM

Bernard De Baets

BELGIUM

Niko Verhoest

Research Interests

Explore related searches

Contact this professor

Articles (13)

GLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near present

The BELSAR dataset: Mono- and bistatic full-pol L-band SAR for agriculture and hydrology

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

Green Area Index and Soil Moisture Retrieval in Maize Fields Using Multi-Polarized C- and L-Band SAR Data and the Water Cloud Model

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

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

Exploring the Effect of Occurrence-Bias-Adjustment Assumptions on Hydrological Impact Modeling

Effective Drought Communication: Using the Past to Assess the Present and Anticipate the Future

Towards Operational Flood Monitoring in Flanders Using Sentinel-1

Flood Mapping in Vegetated Areas Using an Unsupervised Clustering Approach on Sentinel-1 and -2 Imagery

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

Collaborators (3)

Frieke Van Coillie

Diego Miralles

Bernard De Baets

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