Automatic extraction of impervious surface information in Nanchang

doi:10.13474/j.cnki.11-2246.2020.0238

Abstract

Abstract: With the accelerating urbanization process, impervious surface has become one of the most important types of surface coverage. How to obtain impervious surface information with high-precision quickly has become an important question in remote sensing. Considering the complex structure and spectral curve of the impervious surface, based on the idea of decision tree, using built-up area index (BUAI) and modified normalized difference water index (MNDWI), this paper makes the mask of vegetation and water in study area. Then, the characteristics of soil reflectance spectrum are utilized to make soil mask. Through the extraction model based on the idea of decision tree, combined with the mask file, the permeable surface objects are removed step by step, and the impermeable surface are obtained. The results show that the overall accuracy of the impervious surface extracted by the model is 98.27%, and the Kappa coefficient is 0.86. Compared with the investigation of the study area, the consequences are believed to be more reliable. It is suitable for the extraction of impervious water surface information in large areas.

Key words: impervious surface, Landsat 8, index, mask, remote sensing

CLC Number:

P237

HE Jiajun, LIU Xiangtong, TU Liping, XU Kan, HE Ziling, SONG Haohang, LIU Huan. Automatic extraction of impervious surface information in Nanchang[J]. Bulletin of Surveying and Mapping, 2020, 0(8): 1-4.

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