摘要
针对旱区大气水汽含量难以获取,且精度不高的问题,该文利用Landsat8两个热红外波段,基于SWCVR算法构建旱区大气水汽含量反演模型。与气象站实测数据进行验证,其均方根误差为0.31 g/cm^2,绝对误差为0.25 g/cm^2;与MOD05水汽产品对比发现,两者水汽的平均值分别为2.63和2.37 g/cm^2,且空间分布基本一致,但空间分辨率和成像时间的不同,导致存在一定差异性。结果表明,针对Landsat8热红外遥感数据,30×30的窗口大小最优,既保留了中高空间分辨率的优点,又获得了具有实用价值的精度;基于SWCVR算法的大气水汽含量反演方法在风沙滩地区具有较好的应用。
Aiming at the problem that it is difficult to obtain atmospheric water vapor content in arid area and the accuracy is not high,this paper uses two thermal infrared bands of Landsat8 to construct the retrieval model of atmospheric water vapor content in arid area based on SWCVR algorithm. Compared with the measured data of meteorological station,and the root mean square error is 0.31 g/cm^2 and the absolute error is 0.25 g/cm^2. Compared with MOD05 water vapor products,it is found that the average values of water vapor are 2.63 and 2.37 g/m^2 respectively,and the spatial distribution is basically the same,but the spatial resolution and imaging time are different. The results show that the window size of 30×30 is the best for Landsat8 thermal infrared remote sensing data,which not only retains the advantages of medium and high spatial resolution,but also obtains the accuracy of practical value. The retrieval method of atmospheric water vapor content based on SWCVR algorithm has a good application in wind beach area.
作者
杨亮彦
孔金玲
王雅婷
李健锋
张文博
YANG Liangyan;KONG Jinling;WANG Yating;LI Jianfeng;ZHANG Wenbo(School of Earth Science and Resources,Chang’an University,Xi’an 710054,China;School of Geological Engineering and Geomatics,Chang’an University,Xi’an 710054,China)
出处
《测绘科学》
CSCD
北大核心
2020年第5期95-100,共6页
Science of Surveying and Mapping
基金
国家自然科学基金项目(41272246)。
