| THE IMPACT OF URBAN PATTERNS IN LAND SURFACE TEMPERATURE BY ANALYSIS OF POLARIMETRIC SAR INDICES |
| Paper ID : 1237-SMPR |
| Authors: |
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Mohsen Jafari, Hossein Arefi * School of Surveying & Geospatial Engineering, College of Engineering, University of Tehran, Tehran, I.R. Iran |
| Abstract: |
| The structure of urban pattern and the arrangement of buildings and streets are very effective in urban planning. Urban information extraction from remote sensing images is very important in many fields, such as urban planning, land use investigation, damage assessment, traffic management, and so on. In this research, three indices about the urban pattern were extracted from PolSAR data. The relationship of these indices with the Land Surface Temperature (LST) is considered as an urban heat island parameter. Synthetic Aperture Radar (SAR) is an active remote sensing technique capable of imaging regions of interest independent of daytime and to great extent unimpaired by weather conditions. However, the acquired data are imaged with a single polarization. Along with the launch of airborne and spaceborne Polarimetric Synthetic Aperture Radar (PolSAR) sensors, PolSAR has been used for various remote sensing applications since more information could be obtained in multiple polarizations. In PolSAR imagery, the buildings not only have typical polarimetric features but also have rich texture features. As a consequence, it is feasible and promising to use PolSAR data for urban information extraction and analysis. First, building orientation using Polarization Orientation Angle (POA), double-bounce density, and PolSAR entropy using target decomposition were estimated in the urban area. Then, the relationship of these PolSAR indices with the LST was analyzed. The results show that the good relationship between PolSAR indices and LST. The quantitative evaluation represent the correlation of these indices with LST is between 60% and 70% and RMSE is about 10 ℃. |
| Keywords: |
| Urban pattern, Polarimetric SAR, Entropy, Polarization Orientation Angle (POA), Land Surface Temperature (LST) |
| Status : Conditional Accept (Poster) |
