ESA Earth Home Missions Data Products Resources Applications
EO Data Access
How to Apply
How to Access
Site Map
Frequently asked questions
Terms of use
Contact us



Sub-pixel mapping urban impervious surface using ERS-1/2 InSAR data: a case study in Shanghai city

Liming Jiang(1), Hui LIN(1), Mingsheng LIAO(2) and Limin YANG(3)

(1) Institute of Space and Earth Information Science, RM615, ELB, Chinese University of Hong Kong, Hong Kong, China
(2) LIESMARS, 129 Luoyu Road,Wuhan University, Wuhan 430079, China
(3) EROS Data Center,USGS, Sioux Falls, SD 57198, United States


Impervious surfaces are usually defined as anthropogenic features through which water cannot infiltrate the soil, typically including buildings, roads, parking lots, sidewalks, and other built surfaces. Due to the close correlation with the spatial extent and intensity of urban development, impervious surface cover has been recently recognized as a key environmental indicator in assessing urban ecological condition and utilized to investigate urban hydrology, urban climate, land use planning, and resource management.

In this study, the potential of ERS-1/2 InSAR data for mapping urban impervious surface was investigated. Particularly, an ensemble CART approach based on Boosting was utilized to quantify urban impervious surfaces as a continuous variable by the synergistic use of InSAR coherence products and high-resolution imagery. A case study in Shanghai city was conducted to estimate impervious surface percentage (ISP), therefore to map sub-pixel impervious surface cover approximately at 20 m resolution. Average error of ISP estimation from ERS InSAR coherence products versus actual percent impervious surface was 15.32% with correlation coefficient 0.71. This estimation performance is comparable with the results obtained by using multi-spectral Landsat ETM+ imagery, which average error and correlation coefficient was 14.70% and 0.76, respectively.


Keywords: ESA European Space Agency - Agence spatiale europeenne, observation de la terre, earth observation, satellite remote sensing, teledetection, geophysique, altimetrie, radar, chimique atmospherique, geophysics, altimetry, radar, atmospheric chemistry