关键词: 误差分析, 湖泊形态, 遥感数据, 分形维数, Kappa系数, 安徽省

Abstract: Lake area and corresponding spatial distributions are important indicators for monitoring environmental changes, which plays an important role in studying the impact of climate change and human activities on water resource. Accurate lake mapping and area estimation from existing remote sensing data still remain unsettled. To quantitatively investigate the association between the morphological complexity and lake mapping according to practical application, 18 m GF-1/WFV (Wide Field View), 30 m LandSat-8/OLI (Operational Land Imager), 500 m and 1000 m EOS/MODIS (Moderate-Resolution Imaging Spectroradiometer) data of 54 human-impacted lakes in Anhui Province were selected for map drawing. For lake mapping, water surface of lakes were extracted from remote sensing data by combining NDWI (Normalized Difference Water Index) and thresholding segmentation method. The main conclusions are as follows: (1) The larger the lake fractal dimension value is, the more complex the lake’s shape is; the higher the Kappa coefficient is, the smaller the lake area error is；(2) The spatial resolution of remote sensing images can affect the Kappa coefficient and overall accuracy of the lake mapping results. The higher the spatial resolution is, the higher the lake’s Kappa coefficient and overall accuracy in lake mapping are.

Key words: remote sensing, lake morphology, fractal dimension, Kappa coefficient, Anhui Province