Marit Hendrickx
@marithendrickx.bsky.social
Postdoctoral researcher • KU Leuven 🇧🇪
Soil hydrology 💧
Soil water modeling ⚙️
Agricultural water need & irrigation 🌱
Soil hydrology 💧
Soil water modeling ⚙️
Agricultural water need & irrigation 🌱
Two new papers to check out 🎉
SWIM² 🌱💧
Real-time, uncertainty-aware soil moisture modeling using sensors & Bayesian inverse modeling
👉 doi.org/10.1029/2025...
From model predictions to decisions 🌱
Uncertainty-aware irrigation scheduling using SWIM² + weather forecasts
👉 doi.org/10.1016/j.ag...
SWIM² 🌱💧
Real-time, uncertainty-aware soil moisture modeling using sensors & Bayesian inverse modeling
👉 doi.org/10.1029/2025...
From model predictions to decisions 🌱
Uncertainty-aware irrigation scheduling using SWIM² + weather forecasts
👉 doi.org/10.1016/j.ag...
June 4, 2026 at 1:05 PM
Two new papers to check out 🎉
SWIM² 🌱💧
Real-time, uncertainty-aware soil moisture modeling using sensors & Bayesian inverse modeling
👉 doi.org/10.1029/2025...
From model predictions to decisions 🌱
Uncertainty-aware irrigation scheduling using SWIM² + weather forecasts
👉 doi.org/10.1016/j.ag...
SWIM² 🌱💧
Real-time, uncertainty-aware soil moisture modeling using sensors & Bayesian inverse modeling
👉 doi.org/10.1029/2025...
From model predictions to decisions 🌱
Uncertainty-aware irrigation scheduling using SWIM² + weather forecasts
👉 doi.org/10.1016/j.ag...
🎉My second paper is now published in SOIL!
We estimated pooled error variance & covariance for sparse in situ soil moisture sensors across 93 cropping cycles 🌱
Turns out: sensor errors are autocorrelated—don't ignore them!
🔗 soil.copernicus.org/articles/11/...
#soilscience #hydrology
We estimated pooled error variance & covariance for sparse in situ soil moisture sensors across 93 cropping cycles 🌱
Turns out: sensor errors are autocorrelated—don't ignore them!
🔗 soil.copernicus.org/articles/11/...
#soilscience #hydrology
Pooled error variance and covariance estimation of sparse in situ soil moisture sensor measurements in agricultural fields in Flanders
Abstract. Accurately quantifying errors in soil moisture measurements from in situ sensors at fixed locations is essential for reliable state and parameter estimation in probabilistic soil hydrologica...
soil.copernicus.org
June 13, 2025 at 9:14 AM
🎉My second paper is now published in SOIL!
We estimated pooled error variance & covariance for sparse in situ soil moisture sensors across 93 cropping cycles 🌱
Turns out: sensor errors are autocorrelated—don't ignore them!
🔗 soil.copernicus.org/articles/11/...
#soilscience #hydrology
We estimated pooled error variance & covariance for sparse in situ soil moisture sensors across 93 cropping cycles 🌱
Turns out: sensor errors are autocorrelated—don't ignore them!
🔗 soil.copernicus.org/articles/11/...
#soilscience #hydrology