标题:Detection and validation of dust storm from NPP VIIRS
作者:Yang, Yikun ;Sun, Lin ;Zhu, Jinshan ;Wang, Renli ;Su, Qinghua ;Wei, Jing ;Liu, Fangwei ;Jia, Chen
作者机构:[Yang, Yikun ;Sun, Lin ;Zhu, Jinshan ;Wang, Renli ;Su, Qinghua ;Wei, Jing ;Liu, Fangwei ;Jia, Chen ] Geomatics College, Shandong University of Science 更多
会议名称:37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
会议日期:July 23, 2017 - July 28, 2017
来源:International Geoscience and Remote Sensing Symposium (IGARSS)
出版年:2017
卷:2017-July
页码:4810-4812
DOI:10.1109/IGARSS.2017.8128078
摘要:A dust storm detection algorithm for NPP VIIRS data is proposed in this paper. The pixel dataset includes a variety of typical feature types, such as dust over different surface type, thick and thin clouds, vegetation, Gobi, ice/snow, etc. were collected and the distribution of the reflectance and brightness temperature were analyzed, based on which, a dust detection algorithm was generated. Multi-temporal NPP VIIRS images with dust storm happened were collected and applied to the experiments of dust storm detection with the proposed method. OMI AI products which can well describe the distribution of dust storm were selected for validation, and the results shows that this algorithm can detect the dust storm from NPP VIIRS over different land types in high precision.
© 2017 IEEE.
收录类别:EI
资源类型:会议论文
TOP