Tide coordinated Tide coordinated shoreline mapping using shoreline mapping using

THEOS /ALOS imageryTHEOS /ALOS imageryApisit Kongprom

Geo-Informatics ScientistGeo-Informatics and Space Technology Development Agency

(Public Organization)

ContentsContents

1. Introduction2. Objective

3. Study Areas4. Methodology

5. Results 6. Conclusion

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 .

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.

3. Study Areas

4.Methodology

Satellite Imagery

Tidal Atmospheric Correction

Geometric Correction

Object base Classification

Tidal Data

Breach Profile

Tidal data adjustment base Map

Actual Shoreline

Field Observations

DGPS

HSL,MSL,LSL

Shoreline Vector

4.1 Data and equipments Data Equipments

Ground Control Point (GCPs)

DGPS

Beach Profile DGPS & GPS digital camera

Bathymetry ADCP / Echo sounder

Photo GPS digital camera

Tide data Hydrographic department

4.2 Data collecting

23 transect lines along 7 km. of the beach

4.3 Tide coordinate adjustment

MSL (2011) = 0.00 m (MSL base line)MSL 2009 = -0.06 M MSL2010 = -0.32 M

5. Results (Before adjustment)

Time series of shoreline vectorsBefore adjustment

5. Results (After adjustment)

Time series of shoreline vectorsafter adjustment

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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