LOCUST PLAGUES RISK ASSESSMENT IN XINJIANG/CHINA INTEGRATING QUANTITATIVE REMOTE SENSING AND GIS TECHNOLOGIES

被引：0
|
作者：
Liao, C. [1 ]
Lv, Y. [1 ]
Zhang, X. [1 ]
机构：
[1] Peking Univ, Inst Remote Sensing, Beijing 100871, Peoples R China
来源：
2013 FIFTH INTERNATIONAL CONFERENCE ON GEO-INFORMATION TECHNOLOGIES FOR NATURAL DISASTER MANAGEMENT (GIT4NDM) | 2013年
关键词：
Locust; Risk management; Early warning; GIS; INDEX;
D O I：
10.1109/GIT4NDM.2013.24
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：137 / 142
页数：6
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