Uncertainty Analysis for Slope Extraction Based on Python

doi:10.13474/j.cnki.11-2246.2018.0141

Abstract

Abstract:

Taking DEM with spatial resolution of 30 meters as experimental data source,the uncertainty of slope extraction is deeply studied by using Python geographic modeling technology.The general level of slope is to be represented by the average slope,and the study area is divided into 7 landscape types,the 30 m resolution of DEM data is resampled into 10 groups DEM data of 30~120 m resolution.Using ArcGIS platform and Python development language based geographic modeling technology,quantitative analysize DEM spatial resolution,mean slope and area geomorphic features,the uncertainty of slope extraction is studied.The research results show that the average slope region in different geomorphic regions are extracted with decreasing resolution of DEM decreases,the decay rate is basically unchanged.The regression equation of the constant term and the geomorphic unit is characteristic of the two gully density curve.

Key words: DEM, slope extraction, uncertainty, Python

CLC Number:

P237

WU Nei, LI Chaokui, FANG Jun, CHU Nan, WU Baiyan. Uncertainty Analysis for Slope Extraction Based on Python[J]. 测绘通报, 2018, 0(5): 41-47.

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