Multi-Temporal Satellite Imagery for Urban Expansion Assessment at Sharjah City /UAE

7th IGRSM International Remote Sensing & GIS Conference and Exhibition

地球科学;计算机科学

Al-Ruzouq, R.^1 ; Shanableh, A.^1

Department of Civil and Environmental Engineering, University of Sharjah, United Arab Emirates^1

关键词: Change detection;    Monitoring methods;    Registered images;    Spatial and temporal resolutions;    Straight-line segments;    United Arab Emirates;    Urban development;    Urban expansion;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/20/1/012010/pdf
DOI  :  10.1088/1755-1315/20/1/012010

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Change detection is the process of identifying differences in land cover over time. As human and natural forces continue to alter the landscape, it is important to develop monitoring methods to assess and quantify these changes. Recent advances in satellite imagery, in terms of improved spatial and temporal resolutions, are allowing for efficient identification of change patterns and the prediction of areas of growth. Sharjah is the third largest and most populous city in the United Arab Emirates (UAE). It is located along the northern coast of the Persian Gulf on the Arabian Peninsula. After the discovery of oil and its export in the last four decades at UAE, it has experienced very rapid growth in industry, economy and population. The main purpose of this study is to detect urban development in Sharjah city by detecting and registering linear features in multi-temporal Landsat images. This paper used linear features for image registration that were chosen since they can be reliably extracted from imagery with significantly different geometric and radiometric properties. Derived edges from the registered images are used as the basis for change detection. Image registration and pixel-pixel subtraction has been implement using multi- temporal Landsat images for Sharjah City. Straight-line segments have been used for accurate co-registration as well as main element for a reliable change detection procedure. Results illustrate that highest range of growth that represented by linear features (building and roads) have been accrued during 1976-1987 and stand for 36.24% of the total urban features inside Sharjah city. Moreover, result shows that since 1976 to 2010, the cumulative urban expansion inside Sharjah city is 71.9%.