Title :
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
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;
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
DOI :
10.1109/GIT4NDM.2013.24
