1. Tide coordinated shoreline mapping using THEOS /ALOS imagery Apisit Kongprom Geo-Informatics Scientist Geo-Informatics and Space Technology Development Agency (Public Organization)

2. Contents Contents 1.Introduction 2.Objective 3.Study Areas 4.Methodology 5. Results 6. Conclusion

3. 1. Introduction The coastline of Thailand is 2,600 kilometers along, covering coastal regions on the Gulf of Thailand and the Andaman Sea in 23 provinces. The coastal zone is economically important zone to the national economy. The use of geo-informatics technology will support for making decision and management planning of the coastal area. The capability of using satellite imagery for shoreline extraction is well-known. The geological structure such as landform, tidal, waves and long-shore current are major factors to be considered. So this research will be use tide data coordinate with elevation area to extract actual shoreline.

4. 2.Objective  To study a capability of using optical and radar imagery to extract actual shoreline  To develop the technique for tide coordinated shoreline using THEOS/ALOS imagery.

5. 3. Study Areas

6. 4.Methodology

7. 4.1 Data and equipments DataEquipments Ground Control Point (GCPs) DGPS Beach Profile DGPS & GPS digital camera Bathymetry ADCP / Echo sounder Photo GPS digital camera Tide data Hydrographic department

8. 4.2 Data collecting 23 transect lines along 7 km. of the beach

9. 4.3 Tide coordinate adjustment MSL (2011) = 0.00 m (MSL base line) MSL 2009 = -0.06 M MSL2010 = -0.32 M

10. 5. Results (Before adjustment) Time series of shoreline vectors Before adjustment

11. 5. Results (After adjustment) Time series of shoreline vectors after adjustment

12. 6.Conclusion This study shows the efficiency of shoreline extraction technique that consists of visual interpretation and segmentation technique. Using visual interpretation for optical and radar image to extract shoreline is simply technique but the accuracy of separation wet-dry line is less than segmentation technique. Due to the shoreline extracted from satellite images are depend on acquired time of each satellite and these lines are related to tide. In order to eliminate the affect of tide for shoreline extraction, tide-coordinated adjustment is very significant. The correlation between shoreline extracted from THEOS & ALOS and MSL from field survey before and after tide adjustment is 92 % 99% confidence respective.

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