Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)

An Empirical Method for Soil Salinity and Moisture Inversion in West of Jilin

Authors
Li Yang-yang, Zhao Kai, Ding Yan-ling, Ren Jian-hua
Corresponding Author
Li Yang-yang
Available Online August 2013.
DOI
10.2991/rsete.2013.5How to use a DOI?
Keywords
Soil salinity; moisture content; RADARSAT-2; microwave; inversion
Abstract

Soil salinization has been known as a world wide problem. It is a chemical process that causes soil degradation particularly in arid and semi-arid agriculture region. There both advantages and disadvantages of optical and microwave remote sensing in the recognition of salinization soil. In order to retrieve both soil salinity and moisture, an empirical method is presented in this paper which is combined optical, microwave remote sensing and ground-based data. Based on the analysis of the relationship between SAR backscatter, NDVI and soil salinity and moisture, a multiple linear regression is used. The RMSE of soil salinity and moisture are 3.175g/Kg and 3.169% respectively. The results demonstrate that combing microwave and optical remote sensing are suitable for inversion salinity and moisture content in salinization soil, however, methods based on theory knowledge need to be proposed in further research.

Copyright
© 2013, 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 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
10.2991/rsete.2013.5
ISSN
1951-6851
DOI
10.2991/rsete.2013.5How to use a DOI?
Copyright
© 2013, 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  - Li Yang-yang
AU  - Zhao Kai
AU  - Ding Yan-ling
AU  - Ren Jian-hua
PY  - 2013/08
DA  - 2013/08
TI  - An Empirical Method for Soil Salinity and Moisture Inversion in West of Jilin
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 19
EP  - 21
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.5
DO  - 10.2991/rsete.2013.5
ID  - Yang-yang2013/08
ER  -