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Water Bodies' Mapping from Sentinel-2 Imagery with Modified Normalized Difference Water Index at 10-m Spatial Resolution Produced by Sharpening the SWIR Band

文献类型：期刊论文

作者Du, Yun1; Zhang, Yihang1,2,3; Ling, Feng1,4; Wang, Qunming3; Li, Wenbo5; Li, Xiaodong1
刊名REMOTE SENSING
出版日期2016-04-01
卷号8期号:4页码:1-19
关键词Remote Sensing Modified Normalized Difference Water Index (Mndwi) Normalized Difference Water Index (Ndwi) Sentinel-2 Shortwave-infrared (Swir) Pan-sharpening Water Body Mapping
DOI10.3390/rs8040354
文献子类Article
英文摘要Monitoring open water bodies accurately is an important and basic application in remote sensing. Various water body mapping approaches have been developed to extract water bodies from multispectral images. The method based on the spectral water index, especially the Modified Normalized Difference Water Index (MDNWI) calculated from the green and Shortwave-Infrared (SWIR) bands, is one of the most popular methods. The recently launched Sentinel-2 satellite can provide fine spatial resolution multispectral images. This new dataset is potentially of important significance for regional water bodies' mapping, due to its free access and frequent revisit capabilities. It is noted that the green and SWIR bands of Sentinel-2 have different spatial resolutions of 10 m and 20 m, respectively. Straightforwardly, MNDWI can be produced from Sentinel-2 at the spatial resolution of 20 m, by upscaling the 10-m green band to 20 m correspondingly. This scheme, however, wastes the detailed information available at the 10-m resolution. In this paper, to take full advantage of the 10-m information provided by Sentinel-2 images, a novel 10-m spatial resolution MNDWI is produced from Sentinel-2 images by downscaling the 20-m resolution SWIR band to 10 m based on pan-sharpening. Four popular pan-sharpening algorithms, including Principle Component Analysis (PCA), Intensity Hue Saturation (IHS), High Pass Filter (HPF) and A Trous Wavelet Transform (ATWT), were applied in this study. The performance of the proposed method was assessed experimentally using a Sentinel-2 image located at the Venice coastland. In the experiment, six water indexes, including 10-m NDWI, 20-m MNDWI and 10-m MNDWI, produced by four pan-sharpening algorithms, were compared. Three levels of results, including the sharpened images, the produced MNDWI images and the finally mapped water bodies, were analysed quantitatively. The results showed that MNDWI can enhance water bodies and suppressbuilt-up features more efficiently than NDWI. Moreover, 10-m MNDWIs produced by all four pan-sharpening algorithms can represent more detailed spatial information of water bodies than 20-m MNDWI produced by the original image. Thus, MNDWIs at the 10-m resolution can extract more accurate water body maps than 10-m NDWI and 20-m MNDWI. In addition, although HPF can produce more accurate sharpened images and MNDWI images than the other three benchmark pan-sharpening algorithms, the ATWT algorithm leads to the best 10-m water bodies mapping results. This is no necessary positive connection between the accuracy of the sharpened MNDWI image and the map-level accuracy of the resultant water body maps.
WOS关键词MULTITEMPORAL LANDSAT IMAGERY ; REMOTELY-SENSED IMAGERY ; DATA FUSION ; INUNDATION ; MODIS ; TM ; MULTIRESOLUTION ; IMPROVEMENT ; ALGORITHMS ; EXTRACTION
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000375156500087
资助机构Natural Science Foundation of Hubei Province(2013CFA031) ; Natural Science Foundation of Hubei Province(2013CFA031) ; Natural Science Foundation of Hubei Province(2013CFA031) ; Natural Science Foundation of Hubei Province(2013CFA031) ; National Basic Research Program (973 Program) of China(2013CB733205) ; National Basic Research Program (973 Program) of China(2013CB733205) ; National Basic Research Program (973 Program) of China(2013CB733205) ; National Basic Research Program (973 Program) of China(2013CB733205) ; Institute of Geodesy and Geophysics(Y409123012) ; Institute of Geodesy and Geophysics(Y409123012) ; Institute of Geodesy and Geophysics(Y409123012) ; Institute of Geodesy and Geophysics(Y409123012) ; Natural Science Foundation of Hubei Province(2013CFA031) ; Natural Science Foundation of Hubei Province(2013CFA031) ; Natural Science Foundation of Hubei Province(2013CFA031) ; Natural Science Foundation of Hubei Province(2013CFA031) ; National Basic Research Program (973 Program) of China(2013CB733205) ; National Basic Research Program (973 Program) of China(2013CB733205) ; National Basic Research Program (973 Program) of China(2013CB733205) ; National Basic Research Program (973 Program) of China(2013CB733205) ; Institute of Geodesy and Geophysics(Y409123012) ; Institute of Geodesy and Geophysics(Y409123012) ; Institute of Geodesy and Geophysics(Y409123012) ; Institute of Geodesy and Geophysics(Y409123012)
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/22384]  
专题合肥物质科学研究院_应用技术研究所
作者单位1.Chinese Acad Sci, Inst Geodesy & Geophys, Wuhan 430077, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Univ Lancaster, Fac Sci & Technol, Lancaster Environm Ctr, Lancaster LA1 4YQ, England
4.Univ Nottingham, Sch Geog, Univ Pk, Nottingham NG7 2RD, England
5.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei Inst Technol Innovat, Hefei 230088, Peoples R China
推荐引用方式
GB/T 7714		 Du, Yun,Zhang, Yihang,Ling, Feng,et al. Water Bodies' Mapping from Sentinel-2 Imagery with Modified Normalized Difference Water Index at 10-m Spatial Resolution Produced by Sharpening the SWIR Band[J]. REMOTE SENSING,2016,8(4):1-19.
APA Du, Yun,Zhang, Yihang,Ling, Feng,Wang, Qunming,Li, Wenbo,&Li, Xiaodong.(2016).Water Bodies' Mapping from Sentinel-2 Imagery with Modified Normalized Difference Water Index at 10-m Spatial Resolution Produced by Sharpening the SWIR Band.REMOTE SENSING,8(4),1-19.
MLA Du, Yun,et al."Water Bodies' Mapping from Sentinel-2 Imagery with Modified Normalized Difference Water Index at 10-m Spatial Resolution Produced by Sharpening the SWIR Band".REMOTE SENSING 8.4(2016):1-19.

入库方式： OAI收割

来源：合肥物质科学研究院

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