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Soil moisture profile mapping using L- and P-band radiometry

thesis
posted on 2024-05-21, 01:48 authored by FOAD BRAKHASI
This thesis aimed to develop a multi-frequency (i.e. L-band and P-band) soil moisture profile retrieval model to provide more comprehensive soil moisture information over the soil profile. The research compared coherent and incoherent microwave emission models, revealing good consistency between model estimations and measurements for estimating both brightness temperature and soil moisture profile. Coherent models demonstrated slight advantages in dry bare soil conditions. The thesis also explored the effectiveness of machine learning algorithms including random forest, extreme gradient boosting, support vector regression, and deep learning algorithms, with random forest outperforming others in estimating soil moisture profile.

History

Campus location

Australia

Principal supervisor

Jeff Walker

Additional supervisor 1

In-Young Yeo

Year of Award

2024

Department, School or Centre

Civil Engineering

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Engineering

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