Lake is an important part of the natural ecosystem, and its morphological
characteristics reflect the capacity of lake regulation and storage, the
strength of material migration, and the characteristics of shoreline
development. In most existing studies, remote sensing images are used to
quantify the morphological characteristics of lakes. However, the extraction
accuracy of lake water is greatly affected by cloud cover and vegetation cover,
and the inversion accuracy of lake elevation data is poor, which cannot
accurately describe the response relationship of lake landscape morphology with
water level change. Therefore, this paper takes Tonle Sap Lake as the research
object, which is the largest natural freshwater lake in Southeast Asia. DEM is
constructed based on high-resolution measured topographic data, and
morphological indicators such as lake area, lake shoreline length, perimeter area
ratio, longest axis length, maximum width, shoreline development index, lake
shape complexity, compactness ratio and form ratio are adopted to researching
the evolution law of high water overflows and low water outbursts
quantitatively, and clarifying the variation characteristics of landscape
morphology with water level gradient in Tonle Sap Lake. The research results
have important theoretical significance for the scientific utilization of Tonle
Sap Lake water resources and the protection of the lake ecosystem.
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