An Effective Water Body Extraction Method with New Water Index for Sentinel-2 Imagery
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/13/12/1647 |
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| author | Wei Jiang Yuan Ni Zhiguo Pang Xiaotao Li Hongrun Ju Guojin He Juan Lv Kun Yang June Fu Xiangdong Qin |
| author_facet | Wei Jiang Yuan Ni Zhiguo Pang Xiaotao Li Hongrun Ju Guojin He Juan Lv Kun Yang June Fu Xiangdong Qin |
| author_sort | Wei Jiang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T10:28:55Z |
| format | Article |
| id | doaj.art-04b7f80bcf12423a83cab2082d581a52 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T10:28:55Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-04b7f80bcf12423a83cab2082d581a522023-11-21T23:47:29ZengMDPI AGWater2073-44412021-06-011312164710.3390/w13121647An Effective Water Body Extraction Method with New Water Index for Sentinel-2 ImageryWei Jiang0Yuan Ni1Zhiguo Pang2Xiaotao Li3Hongrun Ju4Guojin He5Juan Lv6Kun Yang7June Fu8Xiangdong Qin9State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, ChinaSichuan Highway Planning, Survey, Design and Research Institute Ltd., Chengdu 610041, ChinaState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, ChinaState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, ChinaSchool of Tourism and Geography Science, Qingdao University, Qingdao 266071, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, ChinaState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, ChinaState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, ChinaState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, ChinaSurface 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.https://www.mdpi.com/2073-4441/13/12/1647Sentinel-2water body extractionspectral characteristics analysiswater indexOtsu algorithm |
| spellingShingle | Wei Jiang Yuan Ni Zhiguo Pang Xiaotao Li Hongrun Ju Guojin He Juan Lv Kun Yang June Fu Xiangdong Qin An Effective Water Body Extraction Method with New Water Index for Sentinel-2 Imagery Water Sentinel-2 water body extraction spectral characteristics analysis water index Otsu algorithm |
| title | An Effective Water Body Extraction Method with New Water Index for Sentinel-2 Imagery |
| title_full | An Effective Water Body Extraction Method with New Water Index for Sentinel-2 Imagery |
| title_fullStr | An Effective Water Body Extraction Method with New Water Index for Sentinel-2 Imagery |
| title_full_unstemmed | An Effective Water Body Extraction Method with New Water Index for Sentinel-2 Imagery |
| title_short | An Effective Water Body Extraction Method with New Water Index for Sentinel-2 Imagery |
| title_sort | effective water body extraction method with new water index for sentinel 2 imagery |
| topic | Sentinel-2 water body extraction spectral characteristics analysis water index Otsu algorithm |
| url | https://www.mdpi.com/2073-4441/13/12/1647 |
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