Area of research
Environmental Engineering · Atmospheric Science
Research interest
Research interests include Environmental science, Water content, Remote sensing, Data assimilation, Satellite, and Radiometer.
Spatial calibration and uncertainty reduction of the SWAT model using multiple remotely sensed data
Remotely Sensed Soil Moisture Can Capture Dynamics Relevant to Plant Water Uptake
On the relation between antecedent basin conditions and runoff coefficient for European floods
Can Surface Soil Moisture Information Identify Evapotranspiration Regime Transitions?
An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space
High‐Resolution Soil Moisture Data Reveal Complex Multi‐Scale Spatial Variability Across the United States
Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication
Statistical uncertainty analysis-based precipitation merging (SUPER): A new framework for improved global precipitation estimation
The reliability of categorical triple collocation for evaluating soil freeze/thaw datasets
Validation of Soil Moisture Data Products From the NASA SMAP Mission
A triple collocation-based 2D soil moisture merging methodology considering spatial and temporal non-stationary errors
The benefit of brightness temperature assimilation for the SMAP Level-4 surface and root-zone soil moisture analysis
Investigating the Efficacy of the SMAP Downscaled Soil Moisture Product for Drought Monitoring Based on Information Theory
A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements
Validation practices for satellite soil moisture retrievals: What are (the) errors?
The Contributions of Gauge-Based Precipitation and SMAP Brightness Temperature Observations to the Skill of the SMAP Level-4 Soil Moisture Product
Retrieving global surface soil moisture from GRACE satellite gravity data
Model representation of the coupling between evapotranspiration and soil water content at different depths
The SMAP and Copernicus Sentinel 1A/B microwave active-passive high resolution surface soil moisture product
Version 4 of the SMAP Level‐4 Soil Moisture Algorithm and Data Product
A Monte Carlo based adaptive Kalman filtering framework for soil moisture data assimilation
Global Estimates of Land Surface Water Fluxes from SMOS and SMAP Satellite Soil Moisture Data
Land Surface Model Representation of the Mutual Information Context between Multi-Layer Soil Moisture and Evapotranspiration
The SMAP mission combined active-passive soil moisture product at 9 km and 3 km spatial resolutions
The Efficiency of Data Assimilation
Assimilation of Spatially Sparse In Situ Soil Moisture Networks into a Continuous Model Domain
Soil Moisture Active Passive (SMAP) Project Assessment Report for Version 4 of the L4_SM Data Product
Lirias (KU Leuven) 2018cited by 27position: middle
Development and assessment of the SMAP enhanced passive soil moisture product
Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using In Situ Measurements
Global Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using Assimilation Diagnostics