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Application potential of GF-4 satellite images for water body extraction
Author(s): Lijun Zhao; Wei Zhang; Ping Tang
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Paper Abstract

Water body extraction plays an important role in flood control and the utilization of water resources. With the launch of China’s first high-resolution (50m) geostationary optical GF-4 satellite at the end of December 2015, the wide-swath (400km) and high-frequency (up to minutes) imaging capabilities have been greatly improved, which provides new possibilities for rapid and accurate water body monitoring. To explore the potential of GF-4 satellite in water body monitoring, this paper proposes a water body extraction method based on the temporal variability of near infrared (NIR) spectral features. For a series of preprocessed and coregistered GF-4 images, one of them is chosen as the base image whose NIR band (B5) thresholding is firstly applied to eliminate most of the non-water regions. Then, for each pixel, the variance of B5 radiance values of all images is calculated to obtain a variogram, and pixels whose variogram values are larger than a certain threshold given by the OTSU algorithm are further eliminated. Finally, the final water body extraction result can be obtained after post-classification processing. To evaluate the efficacy of the proposed method, two groups of GF-4 datasets with complex water distribution are selected in the areas of the middle and lower reaches of Yangtze River in China. Experimental results demonstrate that thanks to the high-frequency and high-resolution characteristics of GF-4, the proposed method can extract more tiny waters and effectively remove built-up areas, and is superior to the extraction accuracy of water index way by about 4%.

Paper Details

Date Published: 24 October 2018
PDF: 8 pages
Proc. SPIE 10778, Remote Sensing of the Open and Coastal Ocean and Inland Waters, 1077804 (24 October 2018); doi: 10.1117/12.2323444
Show Author Affiliations
Lijun Zhao, Institute of Remote Sensing and Digital Earth (China)
Wei Zhang, Institute of Remote Sensing and Digital Earth (China)
Univ. of Chinese Academy of Sciences (China)
Ping Tang, Institute of Remote Sensing and Digital Earth (China)


Published in SPIE Proceedings Vol. 10778:
Remote Sensing of the Open and Coastal Ocean and Inland Waters
Robert J. Frouin; Hiroshi Murakami, Editor(s)

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