Informatics Publishing Limited

Rida Azmi ¹, Omar Bachir Alami ², Abd Errahim Saadane ³, Ilias Kacimi ⁴, Tarik Chafiq ⁵

Affiliations
1 1Department of Geology, Faculty of Sciences of Rabat, Mohamed V University, Rabat, MA
2 Hassania School of Public Works, Casablanca, MA
3 Department of Geology, Ecole Supérieure des mines de Rabat, Rabat, MA
4 Department of Geology, Faculty of Sciences of Rabat, Mohamed V University, Rabat, MA
5 Department of Geology, Faculty of Sciences of ben M’sik, Hassan II University, Casablanca, MA

Abstract

Objective: Mapping impervious surfaces using moderate resolution satellite images is a useful technique for supporting different fields including monitoring and evaluation, planning, statistical analysis and reporting and policy development. Due to the negative impact of impervious surfaces over urban climate, the development of new techniques using spectral indices is a key parameter to extract built up areas with high accuracy. Method: In this study we propose a new concept capitalizing the existing relationships between urban heat island effects and built up areas to produce a modified index, benefiting from the high reflectivity of thermal bands, the mean-infrared and near-infrared band. In addition, spatial enhancement of multispectral data is also used to improve the accuracy of the proposed index, our approach uses spectral reduction of dimensions in order to produce thematic indices (as an input data) instead of continuous images. Finding: Final result showed a high accuracy of built up areas compared to other spectral indices like normalized difference built-up index - NDBI and index -based built-up index - IBI, more than 10% compared to classic NDBI and 6% compared to modified index (IBI).

Keywords

Landsat OLI, PCA, Remote Sensing, Spatial Enhancement, Spectral Index, Urban Heat Island Effect.

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