Proceedings of the 4th International Conference on Information Systems and Computing Technology

Soil Moisture Estimation Based on GNSS-R Signal

Authors
Pengwei Yu, Lei Zhang
Corresponding Author
Pengwei Yu
Available Online December 2016.
DOI
https://doi.org/10.2991/isct-16.2016.22How to use a DOI?
Keywords
GNSS-R, Soil moisture, Interference signal, Lomb-Scargle spectrum analysis, SNR
Abstract

The GNSS signal which is reflected by the surface of the object carries the physical characteristic information of reflecting surface. Global navigation satellite system reflection (GNSS-R) is an emerging area of GNSS applications in the field of microwave remote sensing using multipath reflected signals. Meanwhile, using GNSS-R technology based on signalto-noise ratio (SNR) of interference signal to investigate environmental changes around the station has become a new research subject. Soil moisture estimation is one of the many potential applications of the GNSS-R technique. This paper presents our investigation of the characteristics of the GNSS interference signal. Through the experiments under the tree, interference signal before and after rainfall were analyzed and compared. It is found that interference signal frequency have changed significantly after rainfalls occurred. The experimental results show that: GNSS-R can be used to estimate the soil moisture by analyzing the frequency change.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 4th International Conference on Information Systems and Computing Technology
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-276-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/isct-16.2016.22How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Pengwei Yu
AU  - Lei Zhang
PY  - 2016/12
DA  - 2016/12
TI  - Soil Moisture Estimation Based on GNSS-R Signal
BT  - Proceedings of the 4th International Conference on Information Systems and Computing Technology
PB  - Atlantis Press
SP  - 130
EP  - 135
SN  - 2352-538X
UR  - https://doi.org/10.2991/isct-16.2016.22
DO  - https://doi.org/10.2991/isct-16.2016.22
ID  - Yu2016/12
ER  -