Authors: Zhixin Qi*, Sun Yat-sen University, Shi Xian, Guangzhou University
Topics: Urban and Regional Planning, Remote Sensing, China
Keywords: urban renewal, Landsat, Guangzhou
Session Type: Paper
Start / End Time: 1:10 PM / 2:50 PM
Room: 8229, Park Tower Suites, Marriott, Lobby Level
Presentation File: No File Uploaded
The information of urban renewal is essential to urban transition studies in China, especially in post-industry cities. Landsat satellites have acquired global data for more than four decades and thus have potential to investigate urban renewal information. However, it is difficult to detect urban renewal using traditional detection methods that compare two images because the spectral information from old and new buildings can be similar. This study proposes a new method that utilizes multi-temporal Landsat data to detect urban renewal. The novelty of the proposed method is identifying urban renewal by detecting redevelopment cycle, which typically involved the change of old-buildings – construction land – new buildings. Compared with built-up areas, construction land is normally feature high spectral reflectance and thus can be easily identified. A total of 30 Landsat scenes were used for monitoring the urban renewal in Guangzhou from 1980 to 2018. After performing land cover classification for each scene, urban renewal sites were identified by detecting changes of built-up areas to contraction land to built-up areas. In addition to the area and distribution of urban renewal sites, the start and end time of urban renewal was also identified. This study will have significant implications to urban transition studies.