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MODIS水汽反演用于InSAR大气校正的理论研究
引用本文:刘圣伟,张朝林,郭小方,楚艳丽,葛大庆,范景辉.MODIS水汽反演用于InSAR大气校正的理论研究[J].遥感学报,2007,11(3):367-372.
作者姓名:刘圣伟  张朝林  郭小方  楚艳丽  葛大庆  范景辉
作者单位:1. 中国国土资源航空物探遥感中心,北京,100083
2. 中国气象局,北京城市气象研究所,北京,100089
基金项目:中国地质调查局地质调查项目;国家科技部与北京市科委国际合作项目;北京市科委科研项目
摘    要:大气效应尤其是大气水汽的影响是InSAR干涉测量中主要的误差源和限制因素之一,因此高精度的InSAR应用迫切需要及时掌握大气水汽含量及其时空变化。本文深入分析了利用MODIS的水汽反演结果进行InSAR干涉测量大气校正的可行性,对MODIS近红外水汽反演结果与地基GPS水汽探测结果进行了比较和分析。同时根据GPS解算结果,利用实例讨论了基于地面气象参数的水汽延迟模拟的效果。

关 键 词:大气可降水汽(PWV)
文章编号:1007-4619(2007)03-0367-06
修稿时间:2006-09-012006-10-30

Theoretical Study for Application of MODIS Atmospheric Water Vapor Retrieval to InSAR Atmospheric Correction
LIU Sheng-wei,ZHANG Chao-lin,GUO Xiao-fang,CHU Yan-li,GE Da-qing and FAN Jing-hui.Theoretical Study for Application of MODIS Atmospheric Water Vapor Retrieval to InSAR Atmospheric Correction[J].Journal of Remote Sensing,2007,11(3):367-372.
Authors:LIU Sheng-wei  ZHANG Chao-lin  GUO Xiao-fang  CHU Yan-li  GE Da-qing and FAN Jing-hui
Institution:1. China Areo Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China; 2. Institute of Urban Meteorology, CMA, Beijing 100089, China
Abstract:Atmospheric water vapor is highly variable in both space and time,and the accuracy of Interferometric synthetic aperture radar(InSAR) is limited by the effect of the atmosphere,especially the atmospheric water vapor on repeat-pass InSAR measurements.In order to assess the competence of the MODIS(the Moderate-Resolution Imaging Spectroradiometer) near-infrared water vapor retrieval and gound meteorological model estimation for correcting atmospheric effects on InSAR measurements,coincident observations obtained from Global Positioning System(GPS) measurements at five sites in Fangshan Beijng over a month period(April 2004) are used for time series and spatial comparisons.Comparisons of PWV between MODIS and GPS show that their correlation coefficients are high although MODIS appeared to overestimate PWV against GPS;The wet components of tropospheric delay estimated using two empirical models from the ground meteorological data obtained at the GPS sites show low correlation coefficients with the results derived from GPS.
Keywords:MODIS  GPS  InSAR
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