Abstract

Abstract. In recent decades, urbanization has resulted a massive increase in the amount of infrastructure especially large buildings in large cities worldwide. There has been a noticeable expansion of entire cities both horizontally and vertically. One of the common consequences of urban expansion is the increase of ground loads, which may trigger land subsidence and can be a potential threat of public safety. Monitoring trends of urban expansion and land subsidence using remote sensing technology is needed to ensure safety along with urban planning and development. The Defense Meteorological Satellite Program Operational Line scan System (DMSP/OLS) Night-Time Light (NTL) images have been used to study urbanization at a regional scale, proving the capability of recognizing urban expansion patterns. In the current study, a normalized illuminated urban area dome volume (IUADV) based on inter-calibrated DMSP/OLS NTL images is shown as a practical approach for estimating urban expansion of Beijing at a single period in time and over subsequent years. To estimate the impact of urban expansion on land subsidence, IUADV was correlated with land subsidence rates obtained using the Stanford Method for Persistent Scatterers (StaMPS) approach within the Persistent Scatterers InSAR (PSInSAR) methodology. Moderate correlations are observed between the urban expansion based on the DMSP/OLS NTL images and land subsidence. The correlation coefficients between the urban expansion of each year and land subsidence tends to gradually decrease over time (Coefficient of determination R = 0.80 – 0.64 from year 2005 to year 2010), while the urban expansion of two sequential years exhibit an opposite trend (R = 0.29 – 0.57 from year 2005 to year 2010) except for the two sequential years between 2007 and 2008 (R = 0.14).

Highlights

  • Land subsidence is the process of lowering the ground surface elevation due to natural or human-induced impacts

  • From previous studies where land subsidence is typically related to a single physical property of urban settings extracted from satellite imagery, in this study several socio-economic urban properties are related to the satellite data showing relatively high correlation between the weighted light area (WLA) generated from Defense Meteorological Satellite Program (DMSP)/Operational Linescan System (OLS) NightTime Light (NTL) images and all four variables

  • The results suggest that the DMSP/OLS NTL imagery are correlated with the socio-economic urban variable and that the same data can be used to monitor land subsidence, the current study has many uncertainties and it serves as a basis for further research

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Summary

Introduction

Land subsidence is the process of lowering the ground surface elevation due to natural or human-induced impacts. With the process of urbanization, high building density, large building footprints, and building volumes are found to have major impacts (Yan, 2002; Jie et al, 2007; Chen et al, 2015; Jiao et al, 2017). Land subsidence as a result of the load caused by urban expansion is becoming a critical issue in many major cities such as Beijing in China, influencing the urban security and further development of the city (Abidin et al, 2001; Gong, 2002; Chen et al, 2015)

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