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Article

An Effective Water Body Extraction Method with New Water Index for Sentinel-2 Imagery

by 1,2,3, 4, 1,2,*, 1,2, 5, 6, 1,2, 1,2, 1,2 and 1,2
1
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
2
Remote Sensing Technology Application Center, Research Center of Flood and Drought Disaster Reduction of the Ministry of Water Resources, Beijing 100038, China
3
Postdoctoral Workstation of China Reinsurance (Group) Corporation, Beijing 100033, China
4
Sichuan Highway Planning, Survey, Design and Research Institute Ltd., Chengdu 610041, China
5
School of Tourism and Geography Science, Qingdao University, Qingdao 266071, China
6
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
*
Author to whom correspondence should be addressed.
Academic Editor: David Pulido-Velázquez
Water 2021, 13(12), 1647; https://doi.org/10.3390/w13121647
Received: 6 May 2021 / Revised: 2 June 2021 / Accepted: 8 June 2021 / Published: 11 June 2021
Surface water bodies, such as rivers, lakes, and reservoirs, play an irreplaceable role in global ecosystems and climate systems. Sentinel-2 imagery provides new high-resolution satellite remote sensing data. Based on the analysis of the spectral characteristics of the Sentinel-2 satellite, a novel water index called the Sentinel-2 water index (SWI) that is based on the vegetation-sensitive red-edge band (Band 5) and shortwave infrared (Band 11) bands was developed. Four representative water body types, namely, Taihu Lake, Yangtze River, Chaka Salt Lake, and Chain Lake, were selected as study areas to conduct a water body extraction performance comparison with the normalized difference water index (NDWI). We found that (1) the contrast value of the SWI was larger than that of the NDWI in terms of various water body types, including purer water, turbid water, salt water, and floating ice, which suggested that the SWI could achieve better enhancement performance for water bodies. (2) An effective water body extraction method was proposed by integrating the SWI and Otsu algorithm, which could accurately extract various water body types with high overall accuracy. (3) The method effectively extracted large water bodies and wide river channels by suppressing shadow noise in urban areas. Our results suggested that the novel method can achieve efficient water body extraction for rapidly and accurately extracting various water bodies from Sentinel-2 data and the novel method has application potential for larger-scale surface water mapping. View Full-Text
Keywords: Sentinel-2; water body extraction; spectral characteristics analysis; water index; Otsu algorithm Sentinel-2; water body extraction; spectral characteristics analysis; water index; Otsu algorithm
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MDPI and ACS Style

Jiang, W.; Ni, Y.; Pang, Z.; Li, X.; Ju, H.; He, G.; Lv, J.; Yang, K.; Fu, J.; Qin, X. An Effective Water Body Extraction Method with New Water Index for Sentinel-2 Imagery. Water 2021, 13, 1647. https://doi.org/10.3390/w13121647

AMA Style

Jiang W, Ni Y, Pang Z, Li X, Ju H, He G, Lv J, Yang K, Fu J, Qin X. An Effective Water Body Extraction Method with New Water Index for Sentinel-2 Imagery. Water. 2021; 13(12):1647. https://doi.org/10.3390/w13121647

Chicago/Turabian Style

Jiang, Wei, Yuan Ni, Zhiguo Pang, Xiaotao Li, Hongrun Ju, Guojin He, Juan Lv, Kun Yang, June Fu, and Xiangdong Qin. 2021. "An Effective Water Body Extraction Method with New Water Index for Sentinel-2 Imagery" Water 13, no. 12: 1647. https://doi.org/10.3390/w13121647

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