Utilizing MODIS Data to Retrieve the Visibility and Microphysical Properties of Fog Happens in the Northwest China

WU Xiao-jing~

doi:10.11834/jrs.200506101

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Utilizing MODIS Data to Retrieve the Visibility and Microphysical Properties of Fog Happens in the Northwest China
Issue 6, Pages: 688-696(2005)
Published：2005
DOI： 10.11834/jrs.200506101
稿件说明：

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[1]吴晓京,陈云浩,李三妹.应用MODIS数据对新疆北部大雾地面能见度和微物理参数的反演[J].遥感学报,2005(06):688-696. DOI： 10.11834/jrs.200506101.

WU Xiao-jing~. Utilizing MODIS Data to Retrieve the Visibility and Microphysical Properties of Fog Happens in the Northwest China[J]. Journal of Remote Sensing, 2005, (6): 688-696. DOI： 10.11834/jrs.200506101.

摘要

大雾区域地面能见度、垂直总水汽含量、雾滴有效半径等因子是对大雾进行有效监测的重要参数。以MOD IS探测器的卫星遥感数据资料为主要数据源

定量反演了这些大雾参数。能见度参数反演结果和气象地面观测能见度信息数据的对比表明其效果良好。所得垂直总水汽含量、雾滴有效半径也与以前国内外相关多年研究的结果趋势一致。此方法在这里成功的应用

说明其在遥感大雾监测中的潜在应用价值。

Abstract

The visibility

effective radii and liquid water path（LWP） of fog are the fundamental parameters for fog monitoring.This paper uses the data from MODIS and digital elevation model（DEM） of geographic information system（GIS） to obtain the fog geometrical thickness.Meanwhile

proper algorithms are used to calculate the horizontal visibility

through testing the example of the fog in Northwest of China.There are a validated result through comparing the visibility of conventional observation

and the encouraging accuracy have been proved.The other parameters

such as effective radii and liquid water path（LWP）

have been obtained.The former sounding and remote sensing result have shown that it has a true trend.All these show the retrieving method is valid for remote sensing fog in Northwest of China.

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相关机构

College of Surveying and Geo-Informatics, Tongji University

College of Marine Science, University of South Florida, St. Petersburg

College of Mining Engineering, Taiyuan University of Technology

Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences

Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences

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