| URBAN IMPERVIOUS SURFACE DETECTION WITH LANDSAT AND FULL POLARIMETRIC ALOS/PALSAR IMAGES |
| Paper ID : 1354-SMPR |
| Authors: |
|
Sara Attarchi *1, Mehdi Rahnama2 1RS and GIS department, Faculty of Geography, University of Tehran, Tehran, Iran 2Atmospheric Science and Meteorological Research Center |
| Abstract: |
| Impervious surface detection in the urban area is getting ever more attention because of its relevance to urban sprawl. Optical data proved to be beneficial for urban impervious surfaces detection. However, there are still some complexities which make it challenging to impervious surface detection. Shadows and diversity of impervious material are the most important challenges. Optical remote sensing is not operational in humid and cloudy weather and fails to detect impervious materials. In recent years, in the light of increasing availability of SAR data, the use of SAR data for urban impervious surface detection is increasing as well. The sensitivity of microwave wavelength to roughness and dielectric constant of the material improved SAR images application in urban impervious surface detection. In some researches, the synergy of optic and SAR data has been explored and promise results have been reported. In this paper, the efficiency of ALOS/PALSAR and SAR-GLCM texture are explored. The results show that ALOS/PALSAR could not detect impervious surfaces from diverse land cover classes, however, it works properly to differentiate impervious surface from the more general land cover. The inclusion of texture improves classification accuracy, showing that texture can be used alternatively for urban impervious surfaces’ detection. |
| Keywords: |
| Impervious surfaces, Polarimetric SAR, Full polarimetric, Landsat, Texture |
| Status : Conditional Accept (Poster) |
