Abstract
Gradual loss of water resource in the Salton Sea has got much attention from researchers recently for its damage to the local environment and ecosystems for human beings, animals and plants. To monitor the water resource of the lake, researchers usually obtain certain water resource indices manually from databases such as the satellite images of the region. In this paper, we develop a new method to monitor the area of the Salton Sea automatically. By this method, the lake boundary is first segmented from each satellite image by an image segmentation procedure, and then its area is computed by a numerical algorithm. The sequence of lake areas computed from satellite images taken at different time points is then monitored by a control chart from the statistical process control literature. Because the lake area changes gradually over time, the control chart designed for detecting process mean drifts is used here for the water resource surveillance application.
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Acknowledgements
The authors thank the editor, the associate editor and two referees for their constructive comments and suggestions, which improved the quality of the paper greatly. This paper is supported in part by an NSF grant.
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The datasets analyzed during the current study are available at https://earthexplorer.usgs.gov.
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Yi, F., Qiu, P. Water Resource Surveillance for the Salton Sea in California By Adaptive Sequential Monitoring of Its Landsat Images. JABES 28, 549–563 (2023). https://doi.org/10.1007/s13253-023-00545-2
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DOI: https://doi.org/10.1007/s13253-023-00545-2