Application of remote sensing technology in smart city construction and planning

Abstract

The construction of a smart city is complex and requires many considerations and improvements. Builders usually use remote sensing technology and related integration methods as tools to assist smart city construction. Compared with traditional methods, remote sensing technology usually has the advantages of high efficiency and low cost. This paper mainly expounds on the background of smart cities, focusing on remote sensing-related technologies and methods that can be applied to different aspects of smart city construction. As for urban traffic pollution monitoring, remote sensing-related technologies have a positive correlation accuracy in traffic pollution monitoring. But it exposes the limitations of their practical application because they cannot detect the pollutants emitted by diesel engines. The advanced optical and radar sensors integrated with the satellite system could generate high-resolution 3D images. MODIS and SAR sensors usually have higher cost characteristics than PALSAR and Lidar, and cloud-free PALSAR, as a functional sensor in the SAR branch, is suitable for use in tropical and subtropical regions. The depth learning-based remote sensing systems in traffic management have the characteristics of drawing complexity and image fluency. The remote sensing-based open-source software of QGIS and the visualization of relevant plug-ins could map the escape areas in the event of an earthquake. The impact of natural disasters on the safety of citizens can be effectively reduced in a low-cost and efficient way, which is conducive to the construction of smart cities.