tide coordinated shoreline mapping using theos /alos imagery apisit kongprom geo-informatics...
TRANSCRIPT
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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