首页 | 本学科首页   官方微博 | 高级检索  
     检索      

NOAA卫星沙尘暴光谱特征分析及信息提取研究
引用本文:郭铌,倾继祖.NOAA卫星沙尘暴光谱特征分析及信息提取研究[J].高原气象,2004,23(5):643-647,i001,i002.
作者姓名:郭铌  倾继祖
作者单位:中国气象局,兰州干旱气象研究所,甘肃省干旱气候变化与减灾重点实验室,甘肃,兰州,730020
基金项目:科技部2000年度科研院所社会公益类研究项目"西北干旱区沙尘暴预警、服务系统研究"子专题"沙尘暴气象卫星遥感监测技术研究"资助
摘    要:通过对2000—2002年多次沙尘暴过程NOAA卫星AVHRR资料的分析,研究了沙尘、云、沙漠、戈壁、积雪、裸地、植被等不同目标物的光谱特性,发现沙尘暴在AVHRR-2中各通道均有不同程度的反映。1,2通道中沙尘的反射率较高(介于云和沙漠之间);4,5通道的亮温低于晴空地表高于云;在3通道中沙尘表现的很独特,其亮度温度为所有研究目标物中最高的,表明通道3包含较多的沙尘信息,AVHRR-3取代AVHRR-2后对监测沙尘有不利影响。在此基础上提出定量提取沙尘信息的两种沙尘判识指数,并利用沙尘判识指数成功地提取多次沙尘暴过程的沙尘信息。结果表明:利用多通道组合沙尘判识指数能够对沙尘信息进行有效提取。

关 键 词:NOAA卫星  AVHRR资料  沙尘暴  沙尘判识指数
文章编号:1000-0534(2004)05-0643-05

Spectrum Characteristic Analysis of Dust Storm and Dust Identified Using NOAA Satellites Data
GUO Ni,Qing Ji-zu titute of Arid Meteorology,=China Meteorological Administration,Lanzhou ,China.Spectrum Characteristic Analysis of Dust Storm and Dust Identified Using NOAA Satellites Data[J].Plateau Meteorology,2004,23(5):643-647,i001,i002.
Authors:GUO Ni  Qing Ji-zu titute of Arid Meteorology  =China Meteorological Administration  Lanzhou  China
Institution:GUO Ni,Qing Ji-zu titute of Arid Meteorology,=China Meteorological Administration,Lanzhou 730020,China)
Abstract:Spectrum characteristics of several regions such as dust storm, cloud, desert, Gebi desert, snow, soil and vegetation were analyzed using NOAA/AVHRR data during the years from 2000 to 2002. The characteristics of dust storm in NOAA/AVHRR-2 are that: The reflectances of channel 1 and 2 are higher than the desert and lower than the clouds; the brightness temperature of channel 4 and 5 are lower than the regions in where are clear, and higher than clouds. The brightness temperature of dust storm in channel 3 is unusual, the temperature is the highest in all of the regions. It is show that there is more trace of dust in channel 3. It is disadvantage to monitor dust storm when AVHRR-2 have been replaced by AVHRR-3. Two dust identified indexes, which identify dust quantificational from AVHRR, were put forward. The dust had been identified successfully in many dust storm cases using the dust identified indexes. The results show that dust storm could be identified effectively by the dust identified indexes which are composed of multi-channel value.
Keywords:NOAA satellite  AVHRR data  Dust storm  Dust identified index
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号