Hans Lievens

Orcid: 0000-0002-6391-1691

According to our database1, Hans Lievens authored at least 23 papers between 2009 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Soil Moisture Retrieval Using Multistatic L-Band SAR and Effective Roughness Modeling.
Remote. Sens., 2022

Assimilation of Backscatter Observations into a Hydrological Model: A Case Study in Belgium Using ASCAT Data.
Remote. Sens., 2022

Sentinel-1 Backscatter Assimilation Using Support Vector Regression or the Water Cloud Model at European Soil Moisture Sites.
IEEE Geosci. Remote. Sens. Lett., 2022

Tower Based C-Band Radar Observations of the Snowpack.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Prediction of Active Microwave Backscatter Over Snow-Covered Terrain Across Western Colorado Using a Land Surface Model and Support Vector Machine Regression.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Observing Snow Depth at Sub-Kilometer Resolution over the European Alps from Sentinel-1.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Assessing the Potential of Fully-Polarimetric Simultaneous Mono- and Bistatic Airborne SAR Acquisitions in L-Band for Applications in Agriculture and Hydrology.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2018
SMOS and SMAP Brightness Temperature Assimilation Over the Murrumbidgee Basin.
IEEE Geosci. Remote. Sens. Lett., 2018

Snow Estimation Under a Vegetation Gradient using Satellite Remote Sensing Data and Land Surface Modeling During Snowex 2017.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Influence of Surface Roughness Measurement Scale on Radar Backscattering in Different Agricultural Soils.
IEEE Trans. Geosci. Remote. Sens., 2017

Influence of Surface Roughness Sample Size for C-Band SAR Backscatter Applications on Agricultural Soils.
IEEE Geosci. Remote. Sens. Lett., 2017

New empirical model for radar scattering from bare soils.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
A New Empirical Model for Radar Scattering from Bare Soil Surfaces.
Remote. Sens., 2016

Improving terrestrial evaporation estimates over continental Australia through assimilation of SMOS soil moisture.
Int. J. Appl. Earth Obs. Geoinformation, 2016

2015
Copula-Based Downscaling of Coarse-Scale Soil Moisture Observations With Implicit Bias Correction.
IEEE Trans. Geosci. Remote. Sens., 2015

Estimating Effective Roughness Parameters of the L-MEB Model for Soil Moisture Retrieval Using Passive Microwave Observations From SMAPVEX12.
IEEE Trans. Geosci. Remote. Sens., 2015

Semi-Empirical Calibration of the Integral Equation Model for Co-Polarized L-Band Backscattering.
Remote. Sens., 2015

Sensitivity of C-band backscatter to surface roughness parameters measured at different scales.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2012
Random Forests as a tool for estimating uncertainty at pixel-level in SAR image classification.
Int. J. Appl. Earth Obs. Geoinformation, 2012

Assessment of SAR-retrieved soil moisture uncertainty induced by uncertainty on modeled soil surface roughness.
Int. J. Appl. Earth Obs. Geoinformation, 2012

2011
Possibilistic Soil Roughness Identification for Uncertainty Reduction on SAR-Retrieved Soil Moisture.
IEEE Trans. Geosci. Remote. Sens., 2011

On the Retrieval of Soil Moisture in Wheat Fields From L-Band SAR Based on Water Cloud Modeling, the IEM, and Effective Roughness Parameters.
IEEE Geosci. Remote. Sens. Lett., 2011

2009
Error in Radar-Derived Soil Moisture due to Roughness Parameterization: An Analysis Based on Synthetical Surface Profiles.
Sensors, 2009


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