RESEARCH ON VALIDITY MEASUREMENT OF MEGACITIES RENEWAL POLICIES AND SUITABILITY SCALE FOR URBAN REMOTE SENSING DATA APPLICATIONS: TAKING BEIJING’S DUAL CONTROL POLICY AS AN EXAMPLE

Abstract

Abstract. Urban renewal has become the application hotspot of urban remote sensing development in recent years. However, scientific distribution of weight relationship between indicators reflecting progress and effectiveness of different urban renewal goals and tasks, and comprehensive evaluation of effectiveness of policies in the existing indicator system require further in-depth research. In particular, there is no clear standard for application caliber of remote sensing data of different cities in spatial indicators. Taking Beijing’s dual control policy as an example, this paper measures effectiveness of mega-city renewal policies represented by Beijing based on analytic hierarchy process, and analyzes types of remote sensing data suitable for urban renewal. In addition, the suitability scale of urban remote sensing data application is given through case studies. By analyzing the actual validity of Beijing’s dual-control policy implementation, it is concluded that the application scale of urban remote sensing data for urban renewal suitability is remote sensing image big data > remote sensing data artificial intelligence algorithm > remote sensing image historical data > remote sensing big data. It is necessary to focus on automatic identification and exploration of spatial changes based on remote sensing, design and calculation of spatial indicators of urban physical examination based on remote sensing in the future. Furthermore, work needs to be carried out to further improve evaluability, accuracy and objectivity of practical application of remote sensing data in different cities for urban renewal, and explore establishment of a clear urban physical examination system and remote sensing data application system guidelines.