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| 2009年中国干旱风险遥感监测结果评价分析 | |
| 引用本文： | 向大享,李明,谭德宝,孙忠华. 2009年中国干旱风险遥感监测结果评价分析[J]. 人民长江, 2012, 43(8): 80-83 |
| 作者姓名： | 向大享 李明 谭德宝 孙忠华 |
| 作者单位： | 1. 长江科学院空间信息技术应用研究所,湖北武汉430010;武汉大学水利水电学院,湖北武汉430072 2. 武汉大学遥感信息工程学院,湖北武汉,430072 3. 长江科学院空间信息技术应用研究所,湖北武汉,430010 4. 长江水利委员会网络与信息中心,湖北武汉,430010 |
| 摘 要： | 以国家减灾中心汇总的2009年全国各地实际发生的旱灾灾情为依据，以行政区划为基本单元，对云参数法干旱风险遥感监测结果进行评估。简要介绍了云参数法干旱遥感监测模型，用该模型对比分析了全年全国总体旱灾风险监测情况，并针对旱灾事件具有时序性的特点，提出了干旱风险遥感监测平均强度的概念，利用该指标评定了2009年中几次旱灾事件风险遥感监测的精度。结果表明，云参数法干旱风险遥感监测模型有着较好的干旱风险预警能力，在时间、空间尺度上都有较高的适应性。 |
| 关 键 词： | 云参数法 干旱监测 遥感 风险评价 |
Evaluation and analysis on remote sensing monitoring results of drought risk in China in 2009 |
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| XIANG Daxiang , LI Ming , TAN Debao , SUN Zhonghua. Evaluation and analysis on remote sensing monitoring results of drought risk in China in 2009[J]. Yangtze River, 2012, 43(8): 80-83 | |
| Authors: | XIANG Daxiang LI Ming TAN Debao SUN Zhonghua |
| Affiliation: | 1.Spatial Information Technology Application Institute,Changjiang River Scientific Research Institute,Wuhan 430010,China;2.College of Water Resources and Hydroelectric Engineering,Wuhan University,Wuhan 430074,China;3.School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430072,China;4.Center of Network and Information,Changjiang Water Resources Commission,Wuhan 430010,China) |
| Abstract: | The remote sensing monitoring results of drought risk is evaluated using cloud parameter method,taking administrative divisions as basic units,according to data of the practical drought in China in 2009 from National Disaster Reduction Center.The remote sensing monitoring model of drought using cloud parameters method is introduced and the general drought risk monitoring of the whole country is compared.The concept of average intensity of remote sensing monitoring results of drought is proposed aiming at the feature of temporality of drought incidents.The precision of remote sensing monitoring of risk of several drought incidents is evaluated using this index.The results show that the pre-warning of drought risk can be realized by the model,which has good adaptability in spatial and temporal scale. |
| Keywords: | cloud parameter method drought monitoring remote sensing risk evaluation |
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