| 在GIS支持下用NOAA/AVHRR数据进行旱情监测 |
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| 引用本文： | 武晓波,阎守邕,田国良,王世新,肖春生.在GIS支持下用NOAA/AVHRR数据进行旱情监测[J].遥感学报,1998,2(4):280-284. |
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| 作者姓名： | 武晓波 阎守邕 田国良 王世新 肖春生 |
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| 作者单位： | 中国科学院遥感应用研究所,北京100101;中国科学院遥感应用研究所,北京100101;中国科学院遥感应用研究所,北京100101;中国科学院遥感应用研究所,北京100101;中国科学院遥感应用研究所,北京100101 |
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| 基金项目： | “国家“8·5”重点科技攻关项目 |
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| 摘 要： | 旱灾是影响农作物生产的一种重大自然灾害，它对中国北方春小麦生产的影响极大。本文介绍了一个应用遥感、ＧＩＳ技术对黄淮海平原春小麦的旱情进行监测的系统及其方法。它综合使用的ＮＯＡＡ／ＡＶＨＲＲ数据、地面气象资料和地图，选用作物缺水指数（ＣＷＳＩ）模型和热惯理模型对旱情进行监测。监测结果分别用分县的旱情等级分布图和相应不同等级的旱情面积、面积比例数统计表来表示。该系统自１９９４年起投入运行３年，监测结果
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| 关 键 词： | NOAA／AVHRR，遥感，GIS，旱灾监测 |
| 收稿时间： | 1997/10/17 0:00:00 |
| 修稿时间： | 1998/3/17 0:00:00 |
Using NOAA/AVHRR Data to Monitor Drought with GIS Technique |
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| Wu Xiaobo,Yan Shouyong,Tian Guoliang,Wang Shixing and Xiao Chunsheng.Using NOAA/AVHRR Data to Monitor Drought with GIS Technique[J].Journal of Remote Sensing,1998,2(4):280-284. |
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| Authors: | Wu Xiaobo Yan Shouyong Tian Guoliang Wang Shixing and Xiao Chunsheng |
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| Institution: | Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing 100101;Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing 100101;Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing 100101;Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing 100101;Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing 100101 |
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| Abstract: | Drought is a major kind of natural disaster that severely influences agricultural production,
especially on the growing spring wheat in boreal China. This paper introduces a method and software
which use Remote Sensing and GIS technique to monitor drought of spring wheat in Great East Plain
of China.This method applies thermal inertia model and CWSI model to estimate soil moisture with
NOAA/AVHRR data and meteorological observation data.Under the support of GIS technique,
monitoring result is_presented by a map which expresses the spatial distribution of different drought
levels,as well as a statistic form which shows the area and percentage of various drought degrees in
each county.This software system has been operated for three years since 1994. Tested and verified by
observation data, the monitoring result has 83.6% precision in average. |
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| Keywords: | Remote sensing GIS NOAA/ AVHRR Drought monitoring |
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