基于MODIS遥感数据的气溶胶光学厚度反演技术研究
Inversion Technology of Aerosol Optical Depth Based on MODIS Remote Sensing Data
周强波1
作者信息
- 1. 核工业二三○研究所,湖南长沙410007
- 折叠
摘要
[目的]研究基于MODIS遥感数据的气溶胶光学厚度反演技术,揭示气溶胶空间分布和时间变化特征.[方法]利用MODIS遥感数据中的MOD021KM与MOD03角度数据,采用6S辐射传输模型建立查找表,选取2015年3～9月某市以晴天为主的MODIS遥感影像,利用ENVI软件处理该时间段内质量相对较高的一系列遥感影像数据,提取处理后的Band 1红波段(0.66 μm)、Band 3蓝波段(0.47μm)与Band 7近红外波段(2.10 pm)的数据对大气气溶胶光学厚度(AOD值)进行反演.[结果]AOD值与PM10浓度结果类似,呈正态分布,与事先预期的负关系相反.[结论]利用MODIS遥感数据反演AOD值可以在宏观上指示空气污染的分布区域,对大气污染的预报与治理有一定的参考作用.
Abstract
[Objective] To research the inversion technology of aerosol optical depth base on MODIS remote sensing data,and to reveal the spatial distribution and time variation characteristics of aerosol.[Method] MOD021KM and MOD03 angle data from MODIS remote sensing data was applied.A lookup table was established by the 6S radiation transfer models.The MODIS remote-sensing images in mainly sunny days in a given city from March to September 2015 were taken as the primary data.A series of remote sensing image data with relatively high quality in this time quantum was used by using ENVI software treatment.Data of the processed band 1 (the red band 0.66 μm),band 3 (the blue band 0.47 μm) and band 7(near-infrared band 2.1 μm) was extracted to invert the aerosol optical depth (AOD).[Result] AOD value and the PM10 concentration showed normal distribution,and had simple negative correlation with the expected results.[Conclusion] Inversion of aerosol optical depth based on MODIS remote sensing data can indicate the distribution region of air pollution at macro level,and provides reference to the forecast and control of air pollution.
关键词
MODIS/暗像元算法/AOD/反演/PM10浓度Key words
MODIS/Dark pixel algorithm/AOD/Inversion/PM10 concentration引用本文复制引用
出版年
2016
国家科技期刊平台
NSTL
维普
万方数据