Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention

Remote Sensing Monitoring of Soil Moisture Content in Xilin River Basin

Authors
Hongbo Yu, Qiaofeng Zhang
Corresponding Author
Hongbo Yu
Available Online November 2016.
DOI
https://doi.org/10.2991/rac-16.2016.129How to use a DOI?
Keywords
Xilin River basin,soil moisture content,remote sensing,SWCI
Abstract
The study area is the Xilin River basin. Remote sensing approach was used to retrieve soil moisture content based on the surface water capacity index by using MODIS images from July 2000 to July 2012. This can reflect the scope, extent and development of the drought in the study area in a timely and accurate manner. It is of great significance to develop scientific and reasonable measures of drought control and drought resistance. The results show that the spatial distribution of soil moisture content is consistent with the surface state. The soil moisture content in the upper reaches is higher than in the middle and lower reaches. In the time distribution, the soil moisture content of fifteen years from 2000 to 2014 is no fixed trend. The trend of soil moisture content is consistent with precipitation.
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Proceedings
7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-242-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/rac-16.2016.129How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hongbo Yu
AU  - Qiaofeng Zhang
PY  - 2016/11
DA  - 2016/11
TI  - Remote Sensing Monitoring of Soil Moisture Content in Xilin River Basin
BT  - 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016)
PB  - Atlantis Press
SP  - 801
EP  - 805
SN  - 1951-6851
UR  - https://doi.org/10.2991/rac-16.2016.129
DO  - https://doi.org/10.2991/rac-16.2016.129
ID  - Yu2016/11
ER  -