WCSE 2019 SUMMER ISBN: 978-981-14-1684-2
DOI: 10.18178/wcse.2019.06.144

Environmental Monitoring of Electric Power Transmission Corridor Based on Satellite Remote Sensing

Yang zhi, Ou wenhao, Wei liguang, Fei xiangze, Li chuang, Zhao binbin, Ma xiao

Abstract— With the rapid development of national economy, the current power industry and power technology have made great progress in recent years. It is of vital importance to ensure the safety of electric power transmission corridors and related facilities. At present, the inspection of electric power transmission corridors mainly relies on manpower in China, which is not only of great labor intensity, high labor cost and low efficiency. Therefore, this paper proposes a method of surveying typical environmental features of electric power transmission corridor based on high-resolution remote sensing image. At first, the normalized differential vegetation index (NDVI) and normalized difference water index (NDWI) time series were constructed using multi-period remote sensing images in the research area. Then harmonic analysis is applied to the indexes time series to obtain the harmonic characteristics. Finally, support vector machine (SVM) was used to classify five typical environmental features including artificial active area, water, bare land, farmland and forest, The overall classification accuracy is 90.29%, which is better than the result only using indexes series for classification.

Index Terms— Electric Power Transmission Corridors; Ground object inspection; Remote sensing image; Index time series; Harmonic analys

Yang zhi, Wei liguang, Fei xiangze, Li chuang, Zhao binbin, Ma xiao
State Grid Corporation of China, CHINA
Yang zhi, Ou wenhao, Fei xiangze, Li chuang, Zhao binbin, Ma xiao
China Electric Power Research Institute, CHINA
Wei liguang
Beijing Piesat Information Technology Co. Ltd, CHINA

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Cite: Yang zhi, Ou wenhao, Wei liguang, Fei xiangze, Li chuang, Zhao binbin,Ma xiao, "Environmental Monitoring of Electric Power Transmission Corridor Based on Satellite Remote Sensing," Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering, pp. 961-969, Hong Kong, 15-17 June, 2019.