The accuracy and efficiency of impervious surface extraction using different algorithms vary greatly, and algorithm applicability depends on the study area. Therefore, it is necessary to carry out a comparative study of different algorithms across different study areas. This study compared six impervious surface extraction indices (i.e., normalized difference built-up index (NDBI), index-based built-up index (IBI), biophysical composition index (BCI), combinational build-up index (CBI), combinational biophysical composition index (CBCI), and enhanced normalized difference impervious surfaces index (ENDISI)) using Sentinel-2 imagery in Fuxian Lake Basin, Shenzhen City, and Nanjing City. Three study areas with different geographical locations, climatic conditions and altitudes can test spatial heterogeneity of different indices. The results show that: (1) All indices could be used to extract impervious surface, but BCI and CBI were greatly disturbed by water bodies; (2) CBCI, IBI, and NDBI were influenced by study area, while ENDISI could be used across all three study areas; (3) ENDISI algorithm was the best among the six algorithms with a much higher separability degree and an overall accuracy of more than 91.00%. ENDISI can extract impervious surface quickly and accurately from Sentinel-2 imagery across different study areas, and can be well applied in the field of impervious surface change monitoring.

使用不同算法的不透水表面提取的准确性和效率差异很大，算法的适用性取决于研究领域。因此，有必要对不同研究领域的不同算法进行比较研究。这项研究比较了六个不透水的表面提取指数（即归一化差异累积指数（NDBI），基于指数的累积指数（IBI），生物物理组成指数（BCI），组合累积指数（CBI），组合生物物理指数使用Sentinel-2影像，在抚仙湖流域，深圳市和南京市建立了CBCI指数和增强的归一化差异不透水面指数（ENDISI）。具有不同地理位置，气候条件和海拔的三个研究区域可以测试不同指标的空间异质性。结果表明：（1）所有指标均可以提取不透水表面，但水体对BCI和CBI的影响很大；（2）CBCI，IBI和NDBI受研究区域的影响，而ENDISI可以在所有三个研究区域中使用；（3）ENDISI算法是六种算法中最好的，可分离度更高，整体精度超过91.00％。ENDISI可以从不同研究区域的Sentinel-2影像中快速准确地提取出不透水的表面，并且可以很好地应用于不透水的表面变化监测领域。（3）ENDISI算法是六种算法中最好的，可分离度更高，整体精度超过91.00％。ENDISI可以从不同研究区域的Sentinel-2影像中快速准确地提取出不透水的表面，并且可以很好地应用于不透水的表面变化监测领域。（3）ENDISI算法是六种算法中最好的，可分离度更高，整体精度超过91.00％。ENDISI可以从不同研究区域的Sentinel-2影像中快速准确地提取出不透水的表面，并且可以很好地应用于不透水的表面变化监测领域。