干旱区生态环境知识资源中心(Arid): A Conditional Random Fields-Based Identification for Small Lakes Over Multiple Melt Seasons Using Sentinel-2 Imagery in the Larsemann Hills, East Antarctica

Arid

DOI	10.1109/JSTARS.2024.3391881
	A Conditional Random Fields-Based Identification for Small Lakes Over Multiple Melt Seasons Using Sentinel-2 Imagery in the Larsemann Hills, East Antarctica
	Zhu, Tingting; Cui, Xiangbin; Zhang, Yu; Lu, Kai; Yang, Yuande
通讯作者	Cui, XB
来源期刊	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
ISSN	1939-1404
EISSN	2151-1535
出版年	2024
卷号	17 页码:9503-9516
英文摘要	This study provides the first long-time series of spatial and temporal distributions for small lakes in the Larsemann Hills (69 degrees 23 ' S, 76 degrees 20 ' E) in the East Antarctic. In the Larsemann oasis, there is a significant number of over 150 small lakes, which can be observed with high spatial resolution in remote sensing imagery. However, accurately identifying and analyzing these small water bodies and elongated rivers has been challenging due to the mixed pixels effect and limitations in available middle spatial resolution imagery. In our study, we propose a data-driven approach within the conditional random fields framework, which considers three scales: superpixel, pixel, and subpixel, to refine the boundaries of small water bodies efficiently. The superpixel level quickly identifies the main water body and normalized difference water index provides a buffer region, while the pixel level employs support vector machine (SVM) to obtain a more precise boundary. Subpixel mapping technology within the pixel level further reduces mixed pixel effects for improved accuracy. The waterbodies were extracted from Sentinel-2 images with a spatial resolution of 10 m. The lake boundaries derived from the proposed algorithm in this study showed good agreement with in situ measurements of the lake shoreline delineated by aerial images from the 39th Chinese Antarctic Scientific Expedition. The analysis revealed distinct seasonal patterns across the Larsemann Hills, while the lake areas achieved their peak extents earlier, specifically in February before 2020 and in January after 2020. The water body mapping based on the proposed algorithm can contribute to Antarctic remote sensing hydrological observations, particularly in the monitoring of outburst events. These findings demonstrate the potential of extending this method to other Antarctic oases to enhance intra-annual lake observations. Moreover, Sentinel-2 images provide valuable remote sensing data for studying the seasonal cycles of water bodies, including those of varying sizes in the Larsemann Hills, based on long-term time series imagery.
英文关键词	Lakes Antarctica Spatial resolution Monitoring Conditional random fields Remote sensing Satellites Conditional random fields (CRF) small lakes spatial and temporal analysis superpixel-pixel-subpixel
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:001225641400020
WOS关键词	INVENTORY ; INDEX
WOS类目	Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Engineering ; Physical Geography ; 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/2XILL650/404141
推荐引用方式 GB/T 7714	Zhu, Tingting,Cui, Xiangbin,Zhang, Yu,et al. A Conditional Random Fields-Based Identification for Small Lakes Over Multiple Melt Seasons Using Sentinel-2 Imagery in the Larsemann Hills, East Antarctica[J],2024,17:9503-9516.
APA	Zhu, Tingting,Cui, Xiangbin,Zhang, Yu,Lu, Kai,&Yang, Yuande.(2024).A Conditional Random Fields-Based Identification for Small Lakes Over Multiple Melt Seasons Using Sentinel-2 Imagery in the Larsemann Hills, East Antarctica.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,17,9503-9516.
MLA	Zhu, Tingting,et al."A Conditional Random Fields-Based Identification for Small Lakes Over Multiple Melt Seasons Using Sentinel-2 Imagery in the Larsemann Hills, East Antarctica".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 17(2024):9503-9516.