沙尘暴EOS/MODIS卫星遥感监测指数模型  

Study on Satellite Remote Sensing Index Model for Monitoring Dust Storms Using EOS/MODIS Data

作　　者：肖继东[1] 汪溪远[2] 陈爱京[3] 

机构地区：[1]新疆气象局遥感中心,新疆乌鲁木齐830002 [2]新疆大学,新疆乌鲁木齐830001 [3]新疆农业大学,新疆乌鲁木齐830052

出　　处：《干旱区研究》2007年第2期268-272,共5页Arid Zone Research

基　　金：国家自然科学基金(70361001)项目

摘　　要：利用EOS/MODIS数据,采用最佳波段组合指数法和方差-协方差矩阵特征值法,从36个MODIS波段中筛选出用于沙尘暴图像最佳彩色合成增强的组合波段是B20,B1,B29(BXX表示波段号位XX的反照率或亮温值,下同)。在敏感性差异分析的基础上,应用波段数学组合的方法,建立了判识沙尘暴的条件:1≤(B17-B8)/(B6-B2)<10,1≤(B23-B32)/(B17-B8)≤1.6,(B17-B8)/(B6-B2)>(B23-B32)/(B17-B8),构建了提取沙尘暴区域范围和强度等级信息的沙尘暴卫星遥感监测指数SVI=(B17-B8)/(B6-B2),利用指数SVI值的大小对沙尘暴进行了5个等级的定级和分类。In this paper, the optimal combination wavebands （B20, B1 and B29） are screened out from 36 MODIS wavebands for deriving the color- enhanced composed images of monitoring dust storms using EOS/ MODIS data, optimal band combination index method and variance- covariance matrix eigenvalue method after analyzing and summarizing the predecessors＇ research achievements. Based on referring the research achievements about the spectral characteristics of dust storms, analyzing the sensitivity difference of wavebands and using the waveband mathematical combination, the conditions of recognizing dust storms are explored： 1≤ （B17 -BS）/（B6-B2） ≤ 10, 1 ≤ （B23-B32）/（B17-BS）≤ 1.6, （B17-BS）/（B6-B2） 〉 （B23-B32）/（B17 -138）. After comparing and analyzing some different images of dust storms, it is verified that these conditions have universality. The satellite remote sensing index （SVI = （B17- 138）/（136- B2）） of monitoring dust storms is developed for deriving the information of extent and intensity grades of dust storms, on which dust storms are classified into 5 grades using SVI values.

关 键 词：沙尘暴 MODIS 遥感 监测 指数 

分 类 号：P425.55[天文地球—大气科学及气象学]