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Robust Extraction of Shoreline by Integrating DubaiSat1 Multispectral Imagery and a Coastal Terrain Model (CTM) Tarig A. Ali, PhD Associate Professor,

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Presentation on theme: "Robust Extraction of Shoreline by Integrating DubaiSat1 Multispectral Imagery and a Coastal Terrain Model (CTM) Tarig A. Ali, PhD Associate Professor,"— Presentation transcript:

1 Robust Extraction of Shoreline by Integrating DubaiSat1 Multispectral Imagery and a Coastal Terrain Model (CTM) Tarig A. Ali, PhD Associate Professor, Dept. of Civil Engineering American University of Sharjah, UAE Geospatial World Forum - Rotterdam, Netherlands May 13-16, 2013

2 Flow Chart of Technical Approach

3 Study Area: Al-Ras area, Dubai, UAE

4 DubaiSat1 Image of the study area Multispectral (R, G, B) Spatial Resolution: 5m Acquisition date: 12 Nov, 2011 Image was enhanced by applying a median filter followed by a HPF “basic: -1s and 8”. Advantages of the median LPF: preserves edges while removing impulse noise and yet help to avoid excessive smoothing.

5 Surface-Leaving Radiance in the Red Band of DubaiSat1 Image Note the high absorption in the red region of the electromagnetic spectrum of the Image

6 Classification of DubaiSat1 image The Iterative Self-Organizing Data Analysis Technique Algorithm (ISODATA) was used in the classification. Geospatial World Forum - Rotterdam, Netherlands May 13-16, 2013

7 Classification techniques ISODATA algorithm takes maximum advantage of spectral variability in an image. – “Iterative Self-Organizing Data Analysis Technique” Parameters : – N - the maximum number of clusters that you want – T - a convergence threshold and – M - the maximum number of iterations to be performed. Geospatial World Forum - Rotterdam, Netherlands May 13-16, 2013

8 MS image-derived Shoreline segment

9 Data used to create the CTM of the study area The data set comprised of: – 3D bare earth mass points – bathymetric contour data: 10-m interval (surveyed in late September 2011). LIDAR acquisition date: week of 20 November, 2011 LiDAR system: Leica LS-50 system integrated with IMU & GPS. Positional accuracy: RMSE = 0.23-m. Vertical accuracy: RMSE = 0.10-m in open areas. Spatial Reference: Dubai Local Transverse Mercator (DLTM) - WGS_84.

10 Flowchart of Building a CTM using ESRI’s TDS

11 Costal Terrain Model (CTM) of the study area Spatial Resolution: 10m

12 Fusion of the MS Image based Shoreline, CTM, and Aerial Image Outcome: Refined shoreline

13 Concluding Remarks Extraction of shoreline by fusing DubaiSat1 MS imagery, DTM, and an aerial image was successful. Issues need further investigation: – Effect of the difference in spatial resolution between the MS image and the DTM – Effect of the vectorization of the shoreline derived from DubaiSat1 MS imagery. Geospatial World Forum - Rotterdam, Netherlands May 13-16, 2013

14 Thank you


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