Demonstration of Multi-source Remote Sensing Fusion Technology to Identify Ancient Lake Shorelines——Qarhan Salt Lake as an Example
Multi-source remote sensing fusion technology has a unique advantage in identifying the eroded or covered ancient lake shoreline.Qarhan Salt Lake is the largest quaternary liquid potash deposit in China.It is of great significance to identify the multistage paleoshoreland and its lake surface variation process since the late Pleistocene in Qarhan Salt Lake to ensure the supply safety of potash fertilizer in China.In this study,the Sentinel-1A data of synthetic aperture radar(SAR)was used as the data source,and four fu-sion methods,namely IHS fusion,PC fusion,GS fusion and HSV fusion,were used to fusion high-resolution multi-spectral Sentinel-2B data in the Qarhan Salt Lake region.The accuracy of the fusion results was evaluated,and 8 objective evaluation indexes including information entropy,mutual information,av-erage gradient,spatial frequency,standard deviation,correlation coefficient,differential correlation sum and visual fidelity were selected to calculate and analyze the fusion results.The elevation of the ancient lake shore measured in the field combined with digital elevation data(DEM)was used to simulate the shore-line,and the topographic profile map was generated to restore the dynamic changes of the ancient shores of the Qarhan Salt Lake since the Late Pleistocene.The results showed that the HSV algorithm in the fusion method was most suitable for the extraction of the ancient shorelines of Qarhan Salt Lake,and can be used to effectively restore the third-order ancient shoreline landforms that have been eroded and covered since the late Pleistocene.
SARMulti-source remote sensingData fusion technologyQarhan Salt LakeAncient lake shoreline
NETL
NSTL
万方数据
