A Fusion-based Method for Extracting the Surface Area of Qinghai Lake from Remote Sensing Images
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.
万方数据
维普
