[HTML][HTML] Bayesian inversion of GPR waveforms for sub-surface material characterization: An uncertainty-aware retrieval of soil moisture and overlaying biomass …
Accurate estimation of sub-surface properties such as moisture content and depth of soil and
vegetation layers is crucial for applications spanning sub-surface condition monitoring …
vegetation layers is crucial for applications spanning sub-surface condition monitoring …
Bayesian inversion of GPR waveforms for uncertainty-aware sub-surface material characterization
Accurate estimation of sub-surface properties like moisture content and depth of layers is
crucial for applications spanning sub-surface condition monitoring, precision agriculture …
crucial for applications spanning sub-surface condition monitoring, precision agriculture …
Joint Soil and Above-Ground Biomass Characterization Using Radars
Soil moisture sensing through biomass or vegetation canopy has challenged researchers,
even those who use SAR sensors with penetration capabilities. This is mainly due to the …
even those who use SAR sensors with penetration capabilities. This is mainly due to the …
Dual-Frequency Radar Wave-Inversion for Sub-Surface Material Characterization
Moisture estimation of sub-surface soil and the overlaying biomass layer is pivotal in
precision agriculture and wildfire risk assessment. However, the characterization of layered …
precision agriculture and wildfire risk assessment. However, the characterization of layered …
An Interdisciplinary Approach to Coordinated Data Collection for Wildland Fire Science: the Fire and Smoke Model Evaluation Experiment (FASMEE)
Coordination across multiple disciplines is necessary for current and future generations of
modeling systems and the decision-support tools used for understanding and managing …
modeling systems and the decision-support tools used for understanding and managing …