Mapping of Urban Surface Water Bodies from Sentinel-2 MSI Imagery at 10   m Resolution via NDWI-Based Image Sharpening

doi:10.3390/rs9060596

CORC > 北京大学 > 地球与空间科学学院

	Mapping of Urban Surface Water Bodies from Sentinel-2 MSI Imagery at 10 m Resolution via NDWI-Based Image Sharpening
	Yang, Xiucheng ; Zhao, Shanshan ; Qin, Xuebin ; Zhao, Na ; Liang, Ligang
刊名	REMOTE SENSING
	2017
关键词	water extraction water indices Sentinel-2 multi-spectral remote sensing mapping LANDSAT 8 OLI SPECTRAL INDEXES EXTRACTION CLASSIFICATION CLASSIFIERS ALGORITHM FEATURES RIVERS BAND
DOI	10.3390/rs9060596
英文摘要	This study conducts an exploratory evaluation of the performance of the newly available Sentinel-2A Multispectral Instrument (MSI) imagery for mapping water bodies using the image sharpening approach. Sentinel-2 MSI provides spectral bands with different resolutions, including RGB and Near-Infra-Red (NIR) bands in 10 m and Short-Wavelength InfraRed (SWIR) bands in 20 m, which are closely related to surface water information. It is necessary to define a pan-like band for the Sentinel-2 image sharpening process because of the replacement of the panchromatic band by four high-resolution multi-spectral bands (10 m). This study, which aimed at urban surface water extraction, utilised the Normalised Difference Water Index (NDWI) at 10 m resolution as a high-resolution image to sharpen the 20 m SWIR bands. Then, object-level Modified NDWI (MNDWI) mapping and minimum valley bottom adjustment threshold were applied to extract water maps. The proposed method was compared with the conventional most related band- (between the visible spectrum/NIR and SWIR bands) based and principal component analysis first component-based sharpening. Results show that the proposed NDWI-based MNDWI image exhibits higher separability and is more effective for both classification-level and boundary-level final water maps than traditional approaches.; National Science Foundation of China [61379032]; Science Foundation of Key Laboratory in Software Engineering of Yunnan Province [2017SE205]; China Scholarship Council (Grant CSC) [201504490008]; SCI(E); ARTICLE; 6; 9
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/473006]
专题	地球与空间科学学院软件与微电子学院
推荐引用方式 GB/T 7714	Yang, Xiucheng,Zhao, Shanshan,Qin, Xuebin,et al. Mapping of Urban Surface Water Bodies from Sentinel-2 MSI Imagery at 10 m Resolution via NDWI-Based Image Sharpening[J]. REMOTE SENSING,2017.
APA	Yang, Xiucheng,Zhao, Shanshan,Qin, Xuebin,Zhao, Na,&Liang, Ligang.(2017).Mapping of Urban Surface Water Bodies from Sentinel-2 MSI Imagery at 10 m Resolution via NDWI-Based Image Sharpening.REMOTE SENSING.
MLA	Yang, Xiucheng,et al."Mapping of Urban Surface Water Bodies from Sentinel-2 MSI Imagery at 10 m Resolution via NDWI-Based Image Sharpening".REMOTE SENSING (2017).