Under-Canopy Biomass Sensing using UAS-Mounted Radar: a Numerical Feasibility Analysis

Author:

Sinchi Kurt Soncco1,Calderon Diego2,Aziz Ishfaq1,Watts Adam3,Soltanaghai Elahe2,Alipour Mohamad1

Affiliation:

1. University of Illinois Urbana Champaign,Civil and Environmental Engineering

2. Computer Science, University of Illinois Urbana Champaign

3. Pacific Wildland Fire Sciences Laboratory, United States Forest Service

Funder

Keysight Technologies

Publisher

IEEE

Reference15 articles.

1. Dielectric properties of hardwood species at microwave frequencies

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3. Measuring layer thicknesses with GPR – Theory to practice

4. Study on Rapid Inversion of Soil Water Content from Ground-Penetrating Radar Data Based on Deep Learning;li;Remote Sensing,2023

5. Direct Velocity Inversion of Ground Penetrating Radar Data Using GPRNet

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1. Bayesian inversion of GPR waveforms for sub-surface material characterization: An uncertainty-aware retrieval of soil moisture and overlaying biomass properties;Remote Sensing of Environment;2024-11

2. Joint Soil and Above-Ground Biomass Characterization Using Radars;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Dual-Frequency Radar Wave-Inversion for Sub-Surface Material Characterization;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. An Interdisciplinary Approach to Coordinated Data Collection for Wildland Fire Science: the Fire and Smoke Model Evaluation Experiment (FASMEE);IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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