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

Study on hazard factor assessment caused by snow disaster in pastoral areas of Inner Mongolia grassland based on Multi-source Remote Sensing Data

Authors
Chula Sa, Guixiang Liu, Mulan Wang, Yuhai Bao
Corresponding Author
Chula Sa
Available Online November 2016.
DOI
10.2991/rac-16.2016.12How to use a DOI?
Keywords
Remote Sensing data, snow cover day, snow depth, snow disaster
Abstract

The daily snow depth time series data set from passive microwave remote sensing(1978-2012) were used in this paper. Establishment of snow cover index to evaluate the risk factors of disaster.The areas with highest risk of snow disaster happened were mainly distributed in northeast of Dongwuzhumuqin banner, south of Xinbaerhuzuo banner, western of Chenbaerhu banner and western of Ewenke banner.

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/).

Download article (PDF)

Volume Title
Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
10.2991/rac-16.2016.12
ISSN
1951-6851
DOI
10.2991/rac-16.2016.12How 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  - Chula Sa
AU  - Guixiang Liu
AU  - Mulan Wang
AU  - Yuhai Bao
PY  - 2016/11
DA  - 2016/11
TI  - Study on hazard factor assessment caused by snow disaster in pastoral areas of Inner Mongolia grassland based on Multi-source Remote Sensing Data
BT  - Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention
PB  - Atlantis Press
SP  - 77
EP  - 82
SN  - 1951-6851
UR  - https://doi.org/10.2991/rac-16.2016.12
DO  - 10.2991/rac-16.2016.12
ID  - Sa2016/11
ER  -