Paper
8 September 2015 Extracting information on urban impervious surface from GF-1 data in Tianjin City of China
Bin Li, Qingyan Meng, Jun Wu, Xingfa Gu
Author Affiliations +
Abstract
The urban impervious surface, an important part in the city system, has a great influence on theecologicalenvironment in urban areas. The coverage of it is an important indicator for the evaluation ofurbanization. TheRemotesensing data has prominent features such as information-rich and accurate and it can provide data basis for large area extraction of impervious surface. GF-1 satellite is the first satellite of high-resolution earth observation system in China. With the homemade GF-1 satellite remote sensing image date as a resolution, this research, by the combination of V-I-S model and linear spectral mixture model, has first made estimation on the impervious surface of Tianjin City and then employed the remote sensingimage date with high resolution to test the precision of the estimated results. The results not only show that this method will make high precision available, but also reveal that Tianjin City has a wide coverage of impervious surface in general level, especially a high coverage rate both in the center and the coastal areas. The average coverage of impervious surface of the Tianjin city is very high and the coverage of impervious surface in the center and the coastal areas of Tianjin city reach seventy percent.City managers can use these data to guide city management and city planning.
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Bin Li, Qingyan Meng, Jun Wu, and Xingfa Gu "Extracting information on urban impervious surface from GF-1 data in Tianjin City of China", Proc. SPIE 9607, Earth Observing Systems XX, 96072G (8 September 2015); https://doi.org/10.1117/12.2189288
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KEYWORDS
Remote sensing

Satellites

Reflectivity

Satellite imaging

Earth observing sensors

Spectral models

Cameras

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