Application of High-Resolution Remote Sensing Images in Urban Greening Rate Extraction

Abstract

The urban greening rate is the ratio of the metropolitan green space area to the city’s total area, and it is an essential indicator for measuring the level of urban greening. High-resolution remote sensing images can provide detailed surface information, enabling people to monitor and understand the urban greening situation from a long distance, on a large scale and in real time. This paper investigates the performance and application of high-resolution remote sensing imagery in urban greening rate extraction. This paper concludes that selecting high-resolution remote sensing images, preprocessing the images, and adopting the visual interpretation method combined with automatic computer classification and field survey can improve the accuracy of greening rate extraction. Future research can improve extraction accuracy by combining different data sources and improving the classification method. This paper can provide some references for future research on urban greening rate extraction and enhancing the level and efficiency of urban greening management.