Tide coordinated shoreline mapping using THEOS /ALOS imagery Apisit Kongprom Geo-Informatics Scientist Geo-Informatics and Space Technology Development Agency (Public Organization) Contents 1. 2. 3. 4. 5. 6. Introduction Objective Study Areas Methodology Results Conclusion 1.
Download ReportTranscript Tide coordinated shoreline mapping using THEOS /ALOS imagery Apisit Kongprom Geo-Informatics Scientist Geo-Informatics and Space Technology Development Agency (Public Organization) Contents 1. 2. 3. 4. 5. 6. Introduction Objective Study Areas Methodology Results Conclusion 1.
Slide 1
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 2
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 3
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 4
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 5
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 6
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 7
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 8
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 9
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 10
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 11
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 12
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 13
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 2
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 3
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 4
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 5
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 6
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 7
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 8
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 9
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 10
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 11
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 12
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU
Slide 13
Tide coordinated shoreline mapping using
THEOS /ALOS imagery
Apisit Kongprom
Geo-Informatics Scientist
Geo-Informatics and Space Technology Development Agency
(Public Organization)
Contents
1.
2.
3.
4.
5.
6.
Introduction
Objective
Study Areas
Methodology
Results
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
Atmospheric
Correction
Geometric
Correction
Tidal
Tidal Data
Field Observations
DGPS
Object base
Classification
Shoreline Vector
HSL,MSL,LSL
Tidal data adjustment
base Map
Actual Shoreline
Breach Profile
4.1 Data and equipments
Data
Bathymetry
DGPS
DGPS & GPS
Tide Data
digital camera
ADCP / Echo
sounder
High (M)
Ground Control
Point (GCPs)
Beach Profile
Equipments
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
0
5
10
15
Time (Hr.)
A20090129
A20100619
T20090119
T20100306
20
25
T20110426
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 vectors
Before adjustment
5. Results (After adjustment)
Time series
of shoreline vectors
after 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.
THANK YOU