tarig a. ali, phd associate professor, dept. of civil engineering
DESCRIPTION
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. Flow Chart of Technical Approach. Study Area: Al-Ras area, Dubai, UAE. - PowerPoint PPT PresentationTRANSCRIPT
![Page 1: Tarig A. Ali, PhD Associate Professor, Dept. of Civil Engineering](https://reader035.vdocument.in/reader035/viewer/2022062304/568141e1550346895dadbd95/html5/thumbnails/1.jpg)
Robust Extraction of Shoreline by Integrating Robust Extraction of Shoreline by Integrating DubaiSat1 Multispectral Imagery and a DubaiSat1 Multispectral Imagery and a
Coastal Terrain Model (CTM)Coastal Terrain Model (CTM)
Tarig A. Ali, PhDAssociate Professor, Dept. of Civil Engineering
American University of Sharjah, UAE
Geospatial World Forum - Rotterdam, Netherlands
May 13-16, 2013
![Page 2: Tarig A. Ali, PhD Associate Professor, Dept. of Civil Engineering](https://reader035.vdocument.in/reader035/viewer/2022062304/568141e1550346895dadbd95/html5/thumbnails/2.jpg)
Flow Chart of Technical Approach
![Page 3: Tarig A. Ali, PhD Associate Professor, Dept. of Civil Engineering](https://reader035.vdocument.in/reader035/viewer/2022062304/568141e1550346895dadbd95/html5/thumbnails/3.jpg)
Study Area: Al-Ras area, Dubai, UAE
![Page 4: Tarig A. Ali, PhD Associate Professor, Dept. of Civil Engineering](https://reader035.vdocument.in/reader035/viewer/2022062304/568141e1550346895dadbd95/html5/thumbnails/4.jpg)
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.
![Page 5: Tarig A. Ali, PhD Associate Professor, Dept. of Civil Engineering](https://reader035.vdocument.in/reader035/viewer/2022062304/568141e1550346895dadbd95/html5/thumbnails/5.jpg)
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
![Page 6: Tarig A. Ali, PhD Associate Professor, Dept. of Civil Engineering](https://reader035.vdocument.in/reader035/viewer/2022062304/568141e1550346895dadbd95/html5/thumbnails/6.jpg)
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
![Page 7: Tarig A. Ali, PhD Associate Professor, Dept. of Civil Engineering](https://reader035.vdocument.in/reader035/viewer/2022062304/568141e1550346895dadbd95/html5/thumbnails/7.jpg)
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
![Page 8: Tarig A. Ali, PhD Associate Professor, Dept. of Civil Engineering](https://reader035.vdocument.in/reader035/viewer/2022062304/568141e1550346895dadbd95/html5/thumbnails/8.jpg)
MS image-derived Shoreline segment
![Page 9: Tarig A. Ali, PhD Associate Professor, Dept. of Civil Engineering](https://reader035.vdocument.in/reader035/viewer/2022062304/568141e1550346895dadbd95/html5/thumbnails/9.jpg)
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.
![Page 10: Tarig A. Ali, PhD Associate Professor, Dept. of Civil Engineering](https://reader035.vdocument.in/reader035/viewer/2022062304/568141e1550346895dadbd95/html5/thumbnails/10.jpg)
Flowchart of Building a CTM using ESRI’s TDS
![Page 11: Tarig A. Ali, PhD Associate Professor, Dept. of Civil Engineering](https://reader035.vdocument.in/reader035/viewer/2022062304/568141e1550346895dadbd95/html5/thumbnails/11.jpg)
Costal Terrain Model (CTM) of the study area
Spatial Resolution: 10m
![Page 12: Tarig A. Ali, PhD Associate Professor, Dept. of Civil Engineering](https://reader035.vdocument.in/reader035/viewer/2022062304/568141e1550346895dadbd95/html5/thumbnails/12.jpg)
Fusion of the MS Image based Shoreline, CTM, and Aerial Image
Outcome: Refined shoreline
![Page 13: Tarig A. Ali, PhD Associate Professor, Dept. of Civil Engineering](https://reader035.vdocument.in/reader035/viewer/2022062304/568141e1550346895dadbd95/html5/thumbnails/13.jpg)
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
![Page 14: Tarig A. Ali, PhD Associate Professor, Dept. of Civil Engineering](https://reader035.vdocument.in/reader035/viewer/2022062304/568141e1550346895dadbd95/html5/thumbnails/14.jpg)
Thank youThank you