干旱区生态环境知识资源中心(Arid): Near-Ultraviolet to Near-Infrared Band Thresholds Cloud Detection Algorithm for TANSAT-CAPI

Arid

DOI	10.3390/rs13101906
	Near-Ultraviolet to Near-Infrared Band Thresholds Cloud Detection Algorithm for TANSAT-CAPI
	Ding, Ning; Shao, Jianbing; Yan, Changxiang; Zhang, Junqiang; Qiao, Yanfeng; Pan, Yun; Yuan, Jing; Dong, Youzhi; Yu, Bo
通讯作者	Yan, CX (corresponding author), Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun 130033, Peoples R China. ; Yan, CX (corresponding author), Univ Chinese Acad Sci, Ctr Mat Sci & Optoelect Engn, Beijing 100049, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:10
英文摘要	Cloud and aerosol polarization imaging detector (CAPI) is one of the important payloads on the China Carbon Dioxide Observation Satellite (TANSAT), which can realize multispectral polarization detection and accurate on-orbit calibration. The main function of the instrument is to identify the interference of clouds and aerosols in the atmospheric detection path and to improve the retrieval accuracy of greenhouse gases. Therefore, it is of great significance to accurately identify the clouds in remote sensing images. However, in order to meet the requirement of lightweight design, CAPI is only equipped with channels in the near-ultraviolet to near-infrared bands. It is difficult to achieve effective cloud recognition using traditional visible light to thermal infrared band spectral threshold cloud detection algorithms. In order to solve the above problem, this paper innovatively proposes a cloud detection method based on different threshold tests from near ultraviolet to near infrared (NNDT). This algorithm first introduces the 0.38 mu m band and the ratio of 0.38 mu m band to 1.64 mu m band, to realize the separation of cloud pixels and clear sky pixels, which can take advantage of the obvious difference in radiation characteristics between clouds and ground objects in the near-ultraviolet band and the advantages of the band ratio in identifying clouds on the snow surface. The experimental results show that the cloud recognition hit rate (PODcloud) reaches 0.94 (ocean), 0.98 (vegetation), 0.99 (desert), and 0.86 (polar), which therefore achieve the application standard of CAPI data cloud detection The research shows that the NNDT algorithm replaces the demand for thermal infrared bands for cloud detection, gets rid of the dependence on the minimum surface reflectance database that is embodied in traditional cloud recognition algorithms, and lays the foundation for aerosol and CO2 parameter inversion.
英文关键词	cloud detection TANSAT-CAPI NNDT near ultraviolet band 380 nm thresholds
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000662688500001
WOS关键词	CLEAR-SKY ; SHADOW DETECTION ; AUTOMATIC CLOUD ; SATELLITE ; COVER ; SNOW ; MODIS ; REFLECTANCE ; CIRRUS ; IMAGES
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351530
作者单位	[Ding, Ning; Shao, Jianbing; Yan, Changxiang; Zhang, Junqiang; Qiao, Yanfeng; Pan, Yun; Yuan, Jing; Dong, Youzhi; Yu, Bo] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun 130033, Peoples R China; [Ding, Ning; Pan, Yun; Yuan, Jing; Dong, Youzhi; Yu, Bo] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Yan, Changxiang] Univ Chinese Acad Sci, Ctr Mat Sci & Optoelect Engn, Beijing 100049, Peoples R China; [Zhang, Junqiang] Yusense Informat Technol & Equipment Qingdao Inc, Qingdao 266000, Peoples R China
推荐引用方式 GB/T 7714	Ding, Ning,Shao, Jianbing,Yan, Changxiang,et al. Near-Ultraviolet to Near-Infrared Band Thresholds Cloud Detection Algorithm for TANSAT-CAPI[J],2021,13(10).
APA	Ding, Ning.,Shao, Jianbing.,Yan, Changxiang.,Zhang, Junqiang.,Qiao, Yanfeng.,...&Yu, Bo.(2021).Near-Ultraviolet to Near-Infrared Band Thresholds Cloud Detection Algorithm for TANSAT-CAPI.REMOTE SENSING,13(10).
MLA	Ding, Ning,et al."Near-Ultraviolet to Near-Infrared Band Thresholds Cloud Detection Algorithm for TANSAT-CAPI".REMOTE SENSING 13.10(2021).