Title :
Mapping urban impervious surfaces of Nanjing from the dense Landsat imagery
Author :
Wenjuan Shen ; Ting Wu ; Mingshi Li
Author_Institution :
Coll. of Forest Resources & Environ., Nanjing Forestry Univ., Nanjing, China
Abstract :
The marked expansion of the urban impervious surfaces induced by continuous growth of economy and population of China over the past three decades has posed a variety of challenges to studies on urban hydrology, climatology and urban planning practice. Thanks to the characteristics of objectivity, efficiency and integrity, remote sensing has been recognized as a powerful alternative for dynamic monitoring impervious surfaces in the context of urbanization, compared to the conventional field survey, which is time-consuming, costly and labor-intensive. Linear spectral unmixing analysis built upon the selected and refined endmembers following the Vegetation-Impervious-Soil (V-I-S) model was applied to the dense Landsat observations consisting of images from approximately biennial and triennial time steps for the time period 1992 to 2011 to extract impervious surfaces information. Results suggested that the imperviousness increased year by year and a radiating sprawl of the imperviousness was witnessed in Nanjing. The recorded changes in the impervious surfaces were principally driven by Nanjing´s urbanization processes, demographic pressure and political factors. In this paper, we found the effectiveness and reliability of linear spectral unmixing analysis contributing to the dense mapped changing profiles of the imperviousness will provide insights, implications for subsequent urban environmental studies and also act as a reference for other similar cities when pursuing a sustainable urban management.
Keywords :
climatology; economics; geophysical image processing; hydrology; remote sensing; spectral analysis; sustainable development; town and country planning; China; Nanjing urbanization process; V-I-S model; biennial time steps; climatology; demographic pressure; dense Landsat observations; dense landsat imagery; dense mapped changing profiles; dynamic monitoring impervious surfaces; economy growth; endmember selection; impervious surface information; linear spectral unmixing analysis; political factors; remote sensing; sprawl radiation; subsequent urban environmental studies; sustainable urban management; triennial time steps; urban hydrology; urban impervious surfaces mapping; urban planning practice; urbanization context; vegetation-impervious-soil model; Earth; Land surface; Radiometry; Remote sensing; Satellites; Surface treatment; Vegetation mapping; Landsat TM/ETM+; drivers; impervious surfaces; linear spectral unmixing analysis; spatio-temporal characteristics;
Conference_Titel :
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-0965-3
DOI :
10.1109/CISP.2012.6469893