Situated in the northwestern plateau of China,Qinghai Lake is the largest inland saltwater lake on the Tibetan Plateau and one of the highest-altitude lakes in the word.Accurate extraction of its water surface area is crucial for the management of the lake's ecological environment.Utilizing remote sensing technology,we have developed a fusion-based method that integrates three approaches:Modified Normal-ized Difference Water Index(MNDWI),Enhanced Vegetation Index(EVI),and supervised classification.Thismethod aims to achieve high-precision extraction of Qinghai Lake's water surface area.By Comparing the results of the three individual water extraction methods with the fusion-based method,including water extraction results,overall classification accuracy,and Kappa coefficient,the results demonstrate a signifi-cant enhancement in accuracy usingthefusion-basedmethod.Theoverallclassificationaccuracy(OA)increasedbyupto2.9284%,andthe Kappa coefficient(Kappa)increased by a maximum of 0.3862,indicating the effectiveness of the fusion-based method in improving the preci-sion of Qinghai Lake's water surface area extraction.
维普
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