干旱区生态环境知识资源中心(Arid): Image similarity-based gap filling method can effectively enrich surface water mapping information

Arid

DOI	10.1016/j.isprsjprs.2023.07.011
	Image similarity-based gap filling method can effectively enrich surface water mapping information
	Huang, Wenjing; Wang, Fuqiang; Duan, Weili; Tang, Lei; Qin, Jingxiu; Meng, Xiaoyu
通讯作者	Wang, FQ
来源期刊	ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
ISSN	0924-2716
EISSN	1872-8235
出版年	2023
卷号	202 页码:528-544
英文摘要	Satellite monitoring is an effective way to obtain the spatiotemporal information for surface water resources. However, due to problems such as clouds, cloud shadows, and sensor failures, there many gaps in satellite images, posing challenges for the accurate monitoring of surface water changes. Here, a new image-similarity-based gap-filling method using Landsat images, to obtain gapless surface water images, is proposed. The new method, based on a database composed of gapless images, uses the symmetrical difference method to determine the gapless image whose water pixels distribution is most similar to that of the gap image, finally replacing the gapped image pixels with gapless image pixels, to obtain a gap-filled water image. The performance of the new method is evaluated for arid and humid regions via numerical experiments and case verification. Then new method is compared with the existing gap-filling method, using the Aral Sea as an example. The new method's average overall accuracy for surface water in arid areas is about 0.99, and that of surface water in humid areas is about 0.98. It predicted surface water more accurately than other methods, and with high accuracy (R2 = 0.92). This proposed gap-filling method provides an important technical solution to obtaining long-term high-quality observations of surface water. It can also provide a database of image for accurate water resource management.
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001048679900001
WOS关键词	SERIES LANDSAT IMAGES ; TIME-SERIES ; MODIS ; CLOUD ; LAKE
WOS类目	Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Physical Geography ; 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/2XILL650/397079
推荐引用方式 GB/T 7714	Huang, Wenjing,Wang, Fuqiang,Duan, Weili,et al. Image similarity-based gap filling method can effectively enrich surface water mapping information[J],2023,202:528-544.
APA	Huang, Wenjing,Wang, Fuqiang,Duan, Weili,Tang, Lei,Qin, Jingxiu,&Meng, Xiaoyu.(2023).Image similarity-based gap filling method can effectively enrich surface water mapping information.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,202,528-544.
MLA	Huang, Wenjing,et al."Image similarity-based gap filling method can effectively enrich surface water mapping information".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 202(2023):528-544.