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- Title
ASTER 多角度影像云参数模型解算与 云迹风反演.
- Authors
张亚琳; 高海博; 何永健; 邱新法; 张国宏; 王晓琼
- Abstract
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.
- Publication
Science Technology & Engineering, 2022, Vol 22, Issue 10, p3868
- ISSN
1671-1815
- Publication type
Article