从归一化植被指数提取气溶胶光学信息  

Retrieving Aerosol Optical Information From NDVI

作　　者：崔祖强[1] 郑志宏[1] 

机构地区：[1]广州气象卫星地面站,广东广州510640

出　　处：《广东气象》2006年第2期1-7,共7页Guangdong Meteorology

基　　金：国家863计划课题(2002AA639500);广东省百项工程项目(2002B32101);广州市应用基础研究项目(2004J1-0021)

摘　　要：利用卫星遥感和改进归一化植被指数(NDVI)算法,在最大值合成的MVC-NDVI与监测日NDVI差值中提取气溶胶浑浊度信息,形成新的气溶胶光学指数产品,通过监测珠三角地区细粒子气溶胶扩散过程的验证,表明方法是成功的。基于理论和实例分析,提出气溶胶研究应当从本地区地理环境和气溶胶特征的实际出发,重视细粒子气溶胶作为稳定的胶体系统对空气质量、天气系统和气候变化的影响,重视卫星遥感在气溶胶监测中的不可替代的作用。Satellite remote sensing and the improved Normalized Difference Vegetation Index （NDVI） algorithm are used in this article. The aerosol turbidity information is retrieved from the difference between Maximum Value Composition （MVC） NDVI and the daily observational NDVI to generate a new aerosol optical index product. And it has proven successful by monitoring the dispersion process of the fine particle aerosol over Pearl River delta. Based on the theory and the case study, the authors suggest that, aerosol research should start from local characteristics of aerosols and the geographical environment ; importance should be attached to the impact of fine aerosols, as a stable colloidal system, on the air quality, weather system and climate change ; and the non - substitutable role of satellite remote sensing in aerosol monitoring should never be neglected.

关 键 词：大气探测 气溶胶光学信息 归一化植被指数 细粒子气溶胶 大气灰霾 卫星遥感 

分 类 号：P407.8[天文地球—大气科学及气象学]