Abstract

As an effort to monitor the urban dynamic of the Xiong’an new area, this paper proposed a novel procedure to detect the increase of High-Rising Buildings (HRBs) from multi-temporal Sentinel-2 data based on Fully Convolutional Networks. The procedure was applied to detect the increase of HRBs between 2017 and 2019 in 39 counties in the center of the Xiong’an new area. The detected increases were validated and then analyzed in terms of their quantities, spatial distribution and driving forces at the county level. The results indicate that our method can effectively detect the increase of HRBs in large urban areas. The quantity and spatial distribution of the increased HRBs varies a lot in the 39 counties. Most of the increase is located in the north-east and the mid-west of the study region. As to the driving forces, it seems that no single factor can fully explain the increase. Among the five selected factors, Gross Domestic Product (GDP) and transportation accessibility have clear high impacts than others. Number of Permanent Residents (NPR) and policy follow as the secondary group. The terrain has the lowest influence on the increase. Our method provides a useful tool to dynamically monitor HRBs in large areas and also the increase of HRBs can be employed as a new indicator to characterize urban development.

Highlights

  • The plan to build up the Xiong’an new area was announced by the Chinese Central Government on 1 April 2017

  • This paper extends our previous work on High-Rising Buildings (HRBs) detection in single images and aims to detect and analyze the increase of HRBs in 39 counties located in the center of the Xiong’an new area within a two-year period started from 2017

  • The block number of HRBs is used as the basic element in the validation for its simplicity in counting

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Summary

Introduction

The plan to build up the Xiong’an new area was announced by the Chinese Central Government on 1 April 2017. The long-term goal is to build a modernized and environmentally friendly urban area to largely undertake non-essential functions of Beijing as the capital city in China. Due to its strategic and economic importance, the Chinese Central Government has implemented high standard on its buildup. Monitoring urban dynamic in the Xiong’an new area is necessary and valuable in terms of its sustainable development. High-Rising Buildings (HRBs) are a typical artificial land cover and mainly serve as high-end commercial and business centers and residential apartments. With their unique characteristics and functions, HRBs have a great impact on urban environment and socioeconomics. The speed and amount of the increase of HRBs in urban areas can be a useful indicator of urban development

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