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首页> 外文会议>Symposium on multispectral image processing and pattern recognition >Application of HJ-1A/B and ZY-3 remote sensing data for drought monitoring in Hubei Province China
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Application of HJ-1A/B and ZY-3 remote sensing data for drought monitoring in Hubei Province China

机译：HJ-1A / B和ZY-3遥感数据在湖北省干旱监测中的应用。

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摘要

Drought is one kind of nature disasters in the world. It has characteristics of temporal-spatial inhomogeneity, wide affected areas and periodic happening. The economic loss and affected population caused by different droughts are the largest in all natural disasters. Remote sensing has the advantages of large coverage, frequent observation, repeatable observation, reliable information source and low cost. These advantages make remote sensing a vital contributor for drought disaster risk assessment and monitoring. In this paper, three drought monitoring models, such as Vegetation Condition Index (VCI), Temperature Vegetation Dryness Index (TVDI), and Water Supplying Vegetation Index (WSVI) had been selected to monitor the drought occurred from January 2012 to June 2012 in Hubei province, China. Two kinds of remote sensing data, including HJ-1 A/B CCD/IRS and ZY-3, had been employed to assess the integrated risk of Hubei drought based on three drought monitoring models. The results shown that the risk of northwest regions and middle regions in Hubei province were higher than that in the other regions. The results also indicated that the extreme risk regions were located in Shiyan, Xiangyang, Suizhou and Jingmen.
机译：干旱是世界上的一种自然灾害。它具有时空不均匀，受影响范围广和周期性发生的特征。在所有自然灾害中，不同的干旱造成的经济损失和受影响的人口是最大的。遥感具有覆盖面广，观测频繁，观测可重复，信息来源可靠，成本低等优点。这些优势使遥感成为干旱灾害风险评估和监测的重要因素。本文选择了2012年1月至2012年6月湖北省的干旱状况监测模型，包括植被状况指数（VCI），温度植被干燥指数（TVDI）和供水植被指数（WSVI）。中国的省。基于三种干旱监测模型，采用HJ-1 A / B CCD / IRS和ZY-3这两种遥感数据对湖北省干旱综合风险进行了评估。结果表明，湖北省西北地区和中部地区的风险高于其他地区。结果还表明，极度危险地区位于十堰，襄阳，随州和荆门。

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