Perpendicular Impervious Index for Remote Sensing of Multiple Impervious Surface Extraction in Cities

doi:10.11947/j.AGCS.2017.20160304

Abstract

Abstract: Focusing on the issues of impervious layers' heterogeneity and confusion with soil, a method is presented—perpendicular impervious index (PⅡ), which considers blue and near infrared bands selected based on spectral characteristics of ground objects in LandSat-8 images. The PⅡ is established in a linear form, and its reference line is calculated based on the angle bisector of impervious layer line and soil line. Impervious surfaces are extracted using PⅡ on LandSat-8 images of Beijing and Wuhan, which is compared with the normalized difference building index (NDBI), ratio resident-area index (RRI) and biophysical composition index (BCI) in the same areas. The conclusions are as follow: ① PⅡ is superior than other indexes in separating impervious layers from bare soil in both the Wuhan and Beijing, the extracting accuracy is 96.05% and 96.76%,respectively; ② PⅡ is also effective in different environments, where the impervious layer shows various spectrums. Due to the linear combination form, PⅡ can adjust its coefficients depending on spectra of ground objects in different study areas, which gets higher accuracy in extracting impervious layers than other indexes,especially in regions containing more bare soil.

Key words: soil line, impervious layers line, impervious surface extraction, perpendicular impervious index (PⅡ)

CLC Number:

P228

TIAN Yugang, XU Yun, YANG Xiaonan. Perpendicular Impervious Index for Remote Sensing of Multiple Impervious Surface Extraction in Cities[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(4): 468-477.

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