| 基于GPS的MODIS近红外可降水量季节性模型建立 |
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| 引用本文： | 段茜茜,曲建光,高伟,王帅民.基于GPS的MODIS近红外可降水量季节性模型建立[J].测绘工程,2017,26(12). |
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| 作者姓名： | 段茜茜 曲建光 高伟 王帅民 |
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| 作者单位： | 1. 天津城建大学 地质与测绘学院,天津,300384;2. 黑龙江工程学院 测绘工程学院,黑龙江 哈尔滨,150050 |
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| 摘 要： | 在考虑可降水量季节性变化的基础上,提出利用GPS数据建立MODIS近红外可降水量季节性模型。首先对比分析2014年北京房山(BJFS)站的GPS可降水量和相应时间的MODIS近红外可降水量数据,发现两者之间的变化趋势基本一致,存在显著线性相关性;然后以GPS可降水量为标准值,利用回归分析建立GPS和MODIS可降水量之间的季节和全年校正模型。经检验,GPS可降水量与四个季节模型校正的MODIS近红外可降水量的均方根误差均小于3mm,最大误差不超过6mm,季节校正模型的精度都要高于全年校正模型。
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| 关 键 词： | GPS 可降水量 MODIS 校正 季节模型 |
Seasonal model establishment of MODIS near infrared precipitable water vapor based on GPS |
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| DUAN Xixi,QU Jianguang,GAO Wei,WANG Shuaimin.Seasonal model establishment of MODIS near infrared precipitable water vapor based on GPS[J].Engineering of Surveying and Mapping,2017,26(12). |
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| Authors: | DUAN Xixi QU Jianguang GAO Wei WANG Shuaimin |
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| Abstract: | Considering the change of precipitable water vapor with the season,this paper puts forward to establish a seasonal model of MODIS near infrared precipitable water vapor based on GPS.Firstly,it carries out the correlation analysis of MODIS near infrared moisture product and precipitable water vapor by the meteorological data and zenith tropospheric delay data of Beijing Fangshan (BJFS) station.Results show that MODIS near infrared moisture product changes consistently with precipitable water vapor retrieved from ground-based GPS technology.There is a significant positive correlation of them.Then, GPS PWV is taken as the standard precipitable water vapor.The seasonal and annual calibration models are established by using the regression analysis.The RMS value of water vapor calculated from ground-based GPS technology and calibrated MODIS near infrared moisture product is less than 3mm,and the maximum error is not more than 6mm.The precision of seasonal calibration models is higher than annual calibration model. |
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| Keywords: | GPS precipitable water vapor MODIS calibration seasonal model |
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