Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 691-698, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-691-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 691-698, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-691-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

ESTIMATING THE IMPACT OF URBAN EXPANSION ON LAND SUBSIDENCE USING TIME SERIES OF DMSP NIGHT-TIME LIGHT SATELLITE IMAGERY

S. Jiao1,2,3, J. Yu1,2,3, Y. Wang1,2,3, L. Zhu1,2,3, and Q. Zhou4 S. Jiao et al.
  • 1College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
  • 2State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Beijing 100048, China
  • 3Beijing Key Laboratory of Resource Environment and Geographic Information System, Beijing 100048, China
  • 4National Geomatics Center of China, Beijing 100830, China

Keywords: land subsidence, urban expansion, DMSP/OLS NTL, PSInSAR

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).