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ASTER多角度影像云参数模型解算与云迹风反演 被引量:2

ASTER Multi-angle Image Cloud Parameter Model Calculation and Cloud Motion Wind Inversion
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摘要 卫星资料具有覆盖范围广、时空密度大等优点,能有效地弥补缺测地区观测信息不足的现状,可为天气分析和数值预报模式等研究提供大量有用资料。采用青藏高原西藏阿里地区上空的Terra ASTER多角度影像立体成像像对,结合遥感和摄影测量理论,建立了基于摄影中心、影像点和实际物方点共线关系的云顶三维参数解算模型,用以求取云顶三维坐标和云移动速度,同时依托影像立体像对高度重叠的特点,通过比较两张影像示踪云团的踪迹,反演云迹风风场。通过该两种方法,获取了影响高空云移动的风场分布,最后将两种方法的结果进行对比验证,并采用卫星影像云产品和探空数据对风场规律进行检验。结果表明,云顶三维参数解算模型计算精度较高,误差保持在2个像元内,模型解算与影像反演的风场相似性高、质量好、密度高、验证效果较好,清晰地反映出了高空的风场结构,证明了两种方法的可行性。 Satellite data has the advantages of wide coverage,high temporal and spatial density,etc.,can effectively make up for the lack of observational information in lack-observation areas,and can provide a lot of useful data for research on weather analysis and numerical forecasting models.By using multi-angle stereo image pair of Terra ASTER over Ali region of Tibet on the Qinghai Tibet plateau and combining remote sensing and photogrammetry theory,a cloud three-dimension parameter solving model based on the collinear relationship between the photography center,the image points and the actual object points were established,to obtain the cloud top three-dimension coordinates and cloud movement speeds.At the same time,relying on the characteristics of the high overlap of the image stereo pair,the wind field of the clouds was inverted by comparing trace of the tracer clouds in the two images.Through these two methods,the wind field distribution that affected the movement of high-altitude clouds was obtained.Finally,the results of the two methods were compared and verified by each other,and the wind field law was tested by satellite image cloud products and sounding data.The results show that the cloud three-dimension parameter solving model has high calculation accuracy,the error of which remains within 2 pixels,and the wind field obtaines by model calculation and image inversion has high similarity,good quality,high density and good verification effect,and clearly reflects the high-altitude wind field structure,which proves the feasibility of the two methods.
作者 张亚琳 高海博 何永健 邱新法 张国宏 王晓琼 ZHANG Ya-lin;GAO Hai-bo;HE Yong-jian;QIU Xin-fa;ZHANG Guo-hong;WANG Xiao-qiong(Shanxi Climate Center, Taiyuan 030006, China;Shanxi Huaye Survey Engineering Technology Co.,Ltd., Taiyuan 030002, China;School of Geographic Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China;School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China)
出处 《科学技术与工程》 北大核心 2022年第10期3868-3875,共8页 Science Technology and Engineering
基金 国家重点研发计划(2018YFC1505604) 中国气象局预报员专项(CMAYBY2020-018) 山西省气象局面上项目(SXKMSQH20185114)。
关键词 ASTER传感器 多角度影像 云参数 云迹风 ASTER sensor multi-angle image cloud parameters cloud motion wind
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