Locust Plagues Risk Assessment in Xinjiang China Integrating Quantitative Remote Sensing and GIS Technologies

Author

Liao, Chenglin ; Lv, YanDong ; Zhang, Xiaobing

Author_Institution

Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China

fYear

2013

fDate

9-11 Oct. 2013

Firstpage

137

Lastpage

142

Abstract

Locust outbreak can cause extensive crop and rangeland damage. This study selects appropriate indicators to analyze and evaluate breeding, incubation and development suitability for Italian locust outbreak in Xinjiang by integrating quantitative remote sensing and geography information system (GIS) technologies. The results are useful for disaster management to locate areas with a high outbreak potential, thus early warning strategies can be deployed to minimize the potential economic risks.

Keywords

agriculture; geographic information systems; plant diseases; remote sensing; risk management; China; GIS technology; Italian locust outbreak; Xinjiang; crop damage; disaster management; early warning strategy; economic risks; geographic information system; locust plagues risk assessment; outbreak potential; quantitative remote sensing; rangeland damage; Geographic information systems; Indexes; Remote sensing; Soil moisture; Temperature measurement; Vegetation; Vegetation mapping; Early warning; GIS; Locust; Risk management;

fLanguage

English

Publisher

ieee

Conference_Titel

Geo-Information Technologies for Natural Disaster Management (GiT4NDM), 2013 Fifth International Conference on

Conference_Location

Mississauga, ON

Print_ISBN

978-1-4799-2268-0

Type

conf

DOI

10.1109/GIT4NDM.2013.24

Filename

6937492