activity
20232026
most citedBayesian inversion of GPR waveforms for sub-surface material characterization: an uncertainty-aware retrieval of soil moisture and overlaying biomass properties

16 citations · 27 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

U-Net with Hadamard Transform and DCT Latent Spaces for Next-day Wildfire Spread Prediction

Yingyi Luo, Shuaiang Rong, Adam Watts +1

We developed a lightweight and computationally efficient tool for next-day wildfire spread prediction using multimodal satellite data as input. The deep learning model, which we ca…

eess.SP2025★ 2 cited

UAV-Based Remote Sensing of Soil Moisture Across Diverse Land Covers: Validation and Bayesian Uncertainty Characterization

Runze Zhang, Ishfaq Aziz, Derek Houtz +4

High-resolution soil moisture (SM) observations are critical for agricultural monitoring, forestry management, and hazard prediction, yet current satellite passive microwave missio…

eess.SP2024★ 9 cited

Sub-Meter Remote Sensing of Soil Moisture Using Portable L-band Microwave Radiometer

Runze Zhang, Abhi Nayak, Derek Houtz +3

Spaceborne microwave passive soil moisture products are known for their accuracy but are often limited by coarse spatial resolutions. This limits their ability to capture finer soi…

eess.SP2024

Joint Soil and Above-Ground Biomass Characterization Using Radars

Luke Jacobs, Mohamad Alipour, Adam Watts +1

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 impos…

eess.SP2024

Dual-Frequency Radar Wave-Inversion for Sub-Surface Material Characterization

Ishfaq Aziz, Elahe Soltanaghai, Adam Watts +1

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…

eess.IV2024

FUELVISION: A Multimodal Data Fusion and Multimodel Ensemble Algorithm for Wildfire Fuels Mapping

Riyaaz Uddien Shaik, Mohamad Alipour, Eric Rowell +3

Accurate assessment of fuel conditions is a prerequisite for fire ignition and behavior prediction, and risk management. The method proposed herein leverages diverse data sources i…

eess.SP2023★ 16 cited

Bayesian inversion of GPR waveforms for sub-surface material characterization: an uncertainty-aware retrieval of soil moisture and overlaying biomass properties

Ishfaq Aziz, Elahe Soltanaghai, Adam Watts +1

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…