Spatio-temporal analysis of annual urban expansion using Landsat time series data: a case study of Tianjin, China

Authors: Baohui Chai*, Peking University, Peijun Li, Peking University
Topics: Remote Sensing, Land Use and Land Cover Change
Keywords: urbanization, remote sensing, land cover, time series, spatio-temporal analysis
Session Type: Paper
Day: 4/11/2018
Start / End Time: 3:20 PM / 5:00 PM
Room: Lafayette, Marriott, River Tower Elevators, 41st Floor
Presentation File: No File Uploaded

Monitoring urban expansion dynamics using long-term remote sensing time series data at high temporal resolution makes understanding of the dynamics of urban land-change processes possible. Spatio-temporal analysis is crucially important to obtain further information on the patterns of urban expansion. Here, we conducted a spatial-temporal analysis of annual urban expansion dynamics of Tianjin, China from 1990-2014 by using multiple spatio-temporal analysis measures. Changes of urban expansion area was calculated to examine the temporal trend of urban expansion. Spatial difference of urban expansion was analyzed in terms of urban expansion in different directions, annual growth rates of the districts and transfer of the expansion hot spot. Results show that urban expansion was accelerating and spatially heterogeneous between the districts and in different directions. The combination of a variety of metrics makes it possible to quantify urban growth patterns and dynamics from different perspectives, which can provide better understanding and monitoring of urban growth dynamics.

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