Soil moisture estimation using GPS signals

Soil moisture is fundamental for land surface hydrology. The global distribution and temporal variations of soil moisture are a key component for, e.g., agricultural applications. The characteristics of a reflected signal on the ground vary with soil moisture. Therefore, signals recorded by Global Positioning System receivers for precise positioning applications can be related to surface soil moisture, as GPS receivers gather energy from both ground reflections and direct signals.

The purpose of the project is:

• first, to make a state of the art concerning the determination of soil moisture and how it can be estimated using data issued from GPS receiver
• then, using Matlab, to develop existing models (extracted from the bibliography study) and maybe to propose a new one

Partner:

CAP2020

Keywords:

Radio communication, GPS, soil moisture, signal processing

Requirements:

Digital Signal Processing
Good mathematical level
Software : Matlab

References:

K.M. Larson, E.E. Small, et alii, Use of GPS receivers as a soil moisture network for water cycle studies
L.C. Shen, J.C. Juang, C.C. Chang, Remote sensing stream flow and soil moisture by using reflected GPS Signals L1 & L2 observation and Doppler shifts with an Integrated GPS Receiver

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