Preliminary evaluation of
photogrammetric-Remote Sensing approach in monitoring shoreline
erosion
Mazian Hashim, Dr.
Aziz Ibrahim and Adeli Abdullah university of technology
malaysia locked bag 791, 80990 johor bahru Malyasia Tel (07)-576160,
Telex:MA 60205, Fax:572-555
Abstract Photogrammetric-Remote Sensing
approach for monitoring shoreline erosion is devised and evaluated.
Shoreline analysed from aerial photograph were digitized and later merged
to the recent satellite data of the corresponding area. The output of this
study indicates that this techniques provide an agreeable result to the
conventional field measurements within tolerable extents.
Introduction For best planning, in controlling or
retarding the process of shoreline erosion, for the coastal evolution
process need to be fully understood .Hence, for the purpose of monitoring
the coastal evolution process at one effected beach site require the data
to be recorded for a reasonably long period of time, sufficient enough for
the movement of the shoreline trend to be tracked .in practice, however,
due to certain planning circumstances such as financial, tine constraints,
etc; the consulting coastal engineers who were tendered to a coastal
protection work often nave to implement their project in a given period of
time. This in turn would definitely be an impossible task to monitor the
evolution trend .As a result, monitoring beach phemenonal carried out in
the early stage of the project within a short time frame, although it will
not represent the true evolution of the shoreline erosion that were taking
place.
Consequently, this study will concentrate on the
preliminary evaluation of the photogrammetric-remote sensing analysis for
providing alternative on spatial information of the movement trend of
shoreline. In this approach, the shoreline from previous record such as
aerial photographs of the effected area were analysed and later merged
them to a recent satellite remote sensing data. The merging of the data
captured by photogrammetric means to the satellite remote sensing data
requires the vectorised shorelines be rasterized, registered to a common
geodetic base. The validation and verification of the
photogrammetric-remote sensing approach were then made by comparing the
amount of shorelline movements detected from ancillary information gained.
From the certified plan of the cadastral survey and hydrographic charts.
Methods
- Study area
The study area, located to the north of
Terengganu river, comprises approximately 6 km of sandy beaches,
extending northerly from Tanjong Takir to sultan Mahmud Airport. Within
the study reach, there are several fishing villages which are now being
seriously threatened by beach erosion (did, 1985). See figure 1.
This study area is part of littoral drift cell along the coast
of peninsular Malaysia extending from Terengganu River mouth at 10 km
northwards tip to Kuala Merabang Telipok. Changes in this littoral cell
will certainly have an impact on the shoreline of the study area (DID,
1982).
Fig. 1. Location of the study area and
its vicinity
- Sources of information
There are essentially two main
sources of information: Those information obtained from field
investigations conducted as part of this study and those from previous
related studies and past records. Aerial photographs acquired in 1966,
1968, 1975 and 1980 were used to complement the 1986 and 1988 satellite
imagery for analysing the changes particularly the shoreline. The 1966,
1968 1975 aerial photographs were taken at scale of 1:40,000 and
1:25,000 for 1980. The Thematic Mapper data of Landsat-5 acquired July
1988, and multispectral SPOT-1 data of 1986were used to provide the
latest thematic information of the study site. Information obtained from
field investigation were used as control to evaluate the movement of
shoreline analysed by the proposed photogrammetric remote sensing
approach.
Ancillary data that were obtained from current field
surveys or past records including hydrographic charts. And resurvey of
cadastral lots aligning the shoreline of the test site. Early small
scale hydrographic surveys completed in 1937 and 1972 for the study area
were used to quantify shoreline and seabed changes. The latest
hydrographic survey of the site was carried out in 1988 as part of this
study.
- Geomertic Correction and Data merging
The aerial
photographs and the satellite imagery of the area of interest were
initially registered to a common geodetic base prior extraction of
shoreline information. The Rectified Skew Orthomorphic (RSO) coordinate
system adopted by Directorate of Surveying and Mapping, Malaysia (DSMM)
were used for this purpose.
For the aerial photographs the
geometric correction is performed by creating a corresponding model of
the terrain from the overlapping photographs by means of stereoplotter.
A WILD-AG1 stereoplotter linked to a microcomputer is used in and
exterior orientation of the aerial photograph is performed emprically at
six model points configured as in conventional photogrammetric approach;
two at upper left and right corner, two at left and right of the
principal line, and two being at lower left and right corner of the
overlapped area.
The absolute orientation of the model is then
performed by properly scaling and levelling it to three known ground
control points priorly plottted geodetic base at scale of 1:10,000 . the
three ground control points were among the nine control points used
later for registering the satellite imagery to this geometric corrected
model. A difference of 0.5 metre planimetry and 1.0 metre for heights is
tolerable at all control points in the absolute orientation. The
shoreline is then extracted and plotted. The procedure involved in the
interpretation and capturing of the shoreline from this model is
explained in the following section.
On the other hand, the
subscene of the satellite digital data were processed in the Diplx ARIES
-III , digital image analysis system. The satellite subscene data is
registered to the same 1: 10,000 geodetic base by image-to-image basis.
Second degree polynomial transformation function given in equation (1)
were best found .to suit the transformation of the systematically
corrected satellite data to Rectified othomorphic projection of
Malaysia. Hashim et. al. (1988) also addressed that, second degree
polynomial function show a more stable residuals pattern in the
transforming level l B SOPT-1 data to RSO projection. The cubic
convolution resampling scheme to a pixel size of 5 metres is then then
followed ,The summary of the image-to-image registration in merging the
two data set is tabulated in table l.
X= A 1+A 2 x2 +A3 x
+A4 Y2 +A5 Y+A6 xy Y= B
1+B 2 x2 +B3 x
+B4 Y2 +B5 Y+B6 xy
Where
As' , Bs are the transformation coefficients , X,Y are the
ground control points ,and X,Y are the image coordinates .
In merging both data sets, the shoreline extracted from the
analysis by interpreting the appropriate clues of the desired shoreline
is firstly converted to a raster file .the rasterization of the
photogrammetrically captured shorelines is carried out by a simple
vector-raster conversion as illustrared in the next section.
Table.1. Summary of the image-image registration involved
in merging the data captured by photogrammetric means to the satellite
subscene.
GCP |
SLAVE POINTS |
MASTER POINTS |
RESIDUALS |
Rem. |
Line |
Pixel |
North |
East |
N |
E |
1 |
149.0 |
114.0 |
592773.0 |
569506.0 |
0.2 |
-0.3 |
|
2 |
336.0 |
507.0 |
592149.0 |
570684.0 |
-0.6 |
-0.6 |
|
3 |
324.0 |
810.0 |
591106.0 |
571606.0 |
-0.1 |
0.6 |
|
4 |
619.0 |
199.0 |
591383.0 |
569783.0 |
1.4 |
1.1 |
|
5 |
786.0 |
370.0 |
590897.0 |
570299.0 |
-0.1 |
-0.9 |
|
6 |
624.0 |
59.0 |
591358.0 |
569366.0 |
-0.9 |
-0.2 |
|
7 |
76.0 |
281 .0 |
573000.0 |
570000.0 |
0.7 |
0.2 |
C |
8 |
82.0 |
617.0 |
593000.0 |
571000.0 |
0.1 |
.0 .4 |
|
9 |
41.20 |
26 .0 |
592000.0 |
570000.0 |
0.1 |
0.1 |
|
10 |
418.0 |
612.0 |
592000.0 |
571000.0 |
-1.2 |
0.4 |
C |
11 |
425.0 |
942.0 |
592000.0 |
572000.0 |
-0.2 |
0.4 |
|
12 |
761.0 |
941.0 |
591000.0 |
572000.0 |
4.5 |
-2.3 |
C |
13 |
755.0 |
606.0 |
591000.0 |
571000.0 |
2.6 |
-0.1 |
C |
14 |
748.0 |
270.0 |
591000.0 |
570000.0 |
-3.7 |
-0.4 |
C |
Standard errors of pixel estimate = 0.53
m Standard errors of line estimate = 0.52 m
Standard
errors of pixel estimate of check points = 1.03 m Standard
errors of pixel estimate of check points = 2.07 m;
|
- Shoreline Extraction
Extraction of shoreline form the
geometrically corrected model is carried out by a "stream mode"
following the anticipated line by fusion of cursor marks of the right
and left of the viewing system of a stereoplotter. Before extraction of
the shoreline in this particular area, the water level at time of
photography is firstly determined and later used as a guide in providing
useful clues during the interpretation of the present shoreline. Once,
the water level at time of photography is identified in the model
(viewed as land -water interface), the normal high tide mark along the
beach can be located. This, however, is not the shoreline wanted, but it
will assist in locating the nearest location of the highest high tide
mark which were presently adopted by the DSMM as the state shoreline in
topographical survey practice.
The exercise of locating the
shoreline in this approach mark rely rather heavily on the available
clues that exists on the beach. These clues include of those like the
extent of occupation, cropped lines, etc. the association of the
reasonable clues to the water levels at a particular site formed an
important element in the shoreline interpretation. This association is
illustrated in figure 2. The shorelines delineated from aerial
photographs acquired in different years were then automatically
digitized by the online microcomputer, and stored in a digital vector
format.
For the satellite thematic MLA data, the infrared band
(band 7), and band 5 were used in the shoreline extraction. In the
infrared band, the land-water interface are clearly defined as the water
absorbed the radiation energy and, thereby, contribute nearly no energy
returns. As for the land features, the radiation reflects according to
the nature of properties of materials it hits. The water-land interface,
however, does not represented the present shoreline but it is the extent
of water level at time of data acquisition. Enhancing this land -water
interface with a high pass filter orthogonally depict this line and its
aligning features more significantly. The linear features which have
been cropped by pioneering small marine shrubs, near to the end of
occupance limit can be reasonable interpreted as an approximate present
shoreline. Similarly for the SPOT -1 MLA data, the infrared band 3 and
band 2 were processed accordingly.
Misinterpretation by this
technique could be very minimum because the normal high tide mark is
very pronounced, and the shoreline required to be located in this
approach is normally within a for metres inland, hence it is justifiable
within the spatial resolution of 20 meters and 30 meters of the SPOT-1
and TM data used.
The digital vector format of the shorelines
which have been extracted by photogrammetric means from aerial
photographs were then integrated to the geo-coded remotely sensed TM and
SPOT-1me rasterizing the shoreline raster data. This Is done by a simple
vector-toraster conversion as illustrated in table2. The raster on the
display unit of the digital image analysis system.
Fig. 2. Prominent water levels and clues
association in the shoreline interpretation. Results and
discussionShoreline ChangesThe extent of shoreline
changes can be quantified from the photogrammetric-remote sensing analysis
carried out. Based the analysis carried out using the information obtained
from the photogrammetric-remote sensing approach, the findings can be
summerised as follows:
- The northern spit at the Terengganu river mouth has been growing in
a southeast direction between the observation periods of 1966, 1968,
1975, 1980 and 1986 at an approximate rate of 10 metres per
year.
- At the same time, the shoreline of the spit retreated at about the
same magnitude and the centre of the spit has become narrower.
- From kg. Seberang Takir to Kg Bahru Seberang Takir, the shoreline
retreats at 2 to 4 metres per year.
- From Kg. Bahru Seberang Takir to Kg. Telaga Daing, the shoreline
retreats at 1.4 to 2.5 metres per year.
- From Kg. Telaga Daing to Kg. Ketapang, the shoreline retreats at 1
to 2 metres per year.
- From Kg. Ketapang to kg. Telaga Batin, the shoreline advances at 1
to 3 metri\es per year.
Quantitatively, the movement of the
shoreline identified in the whole 6 kilometres study reach is presented in
figure 3. Direct comparison with the shoreline determined from
hydrographic records of 1972-1988 have shown that the shoreline obtained
by photogrammetric remote sensing significabntly show the same trend and
magnitude of shoreline movement for 1968-1988 aerial photographs Figure 4
(a) shows the variation of shoreline of 1937 and 1968 obtained from
hydrographic records, while the variation of the snoreline movements
outline in photogrammetric remote sensing approach for the period of 22
years is shown in figure. 4(b).
Fig. 3. Shoreline movements analysed in
Photogrammetric-Remote Sensing approach within the study area.
Fig. 4(a). Comparison of 1937 and 1972
shoreline obtained from Hydrographic surveys.
Fig. 4(b). Shoreline variations 1966-1988
extracted from Photogrammetric-Remote Sensing approach.
Assessments to justify the above findings were later carried
out by visiting to affected study area. The test site were of 2.5 km
southern beach of the study area. For the purpose of analytical evaluation
on the quantity of shoreline that have taken place, two stable points
which were recognisable in the image as well as in aerial photographs were
used. The two points were navigational beacon at southern end of Kg.
Seberang Takir, and end-road at central point of Kg. Seberang Takir. Both
the test points were located at 1.5 km apart, Table 3 summarizes the
comparison of the erosion measured from field surveys and the
photogrammetric remote sensing approach. Field checks on the
affected sites also involved the distance measurement from the present
shoreline to those marks identified by local inhabitants as shoreline used
to be in the previous 10 or more years, which strongly show that the
findings gained from the analysis does comply with the real situation. The
certified plan of the cadastral survey of the effected sites where also
consulted in the field check. A comprehensive quantitative analysis on
different test sites of other areas is yet to be implemented for further
evaluation of the shoreline movement gained by this technique.
ConclusionShoreline movements can be monitored using
the photogrammetric remote sensing approach as demonstrated. Aerial
photographs alone with the established photogrammetric mapping is the best
way of mapping the shoreline movements provided that it is acquired at
timely basis as required in a particular project. Satellite remote sensing
data which is affordable to be in timely and its synoptic view can be an
optimal tool to complement the quantification of the shoreline movements.
Table 2 : Pseudo coding for Vector-to-Raster Conversion of
the shoreline captured from Aerial photographs.
1. Define data, open input file, open output file |
2. Begin toop
Read input vector coordinates (shoreline) Find miniuwr x, y
and maximum x, y vector coordinates Close loop |
3. Built a raster overlay based oj min x.v and max. x.y input
file. |
4. Begin loop
Verify whether the input string coorodinates lie within a pixel
of a raster file. If yes, assign a value I to this pixel If
NOT. Go to next pixel and verify the same thingClose loop
|
- Vector data overlaid on the raster file created based on the range
of x and y coordinates of captured vector data.
- Zoomed -in resterization criterion assignment
minimum distance from centroid to the vector
data is the indicator of inclusion of this cell to a raster file
Table 3 : Comparison Of Shoreline Erosion Analysed From
Hydrographic Survey And Photogrammetric-Remote Sensing Approach.
Test site |
* H.S |
** P.RS |
*** F.SUR |
1972-1988 |
mean |
1968-1988 |
mean |
1952-89 |
mean |
1 |
65m |
4m/yr |
81m |
4.1m/yr |
120.0 |
3.3 |
2 |
30m |
2m/yr |
45m |
2.3m/yr |
110.0 |
3.0 | 1. Southern end of Kg.
Seberang Takir Navigational beacon, 2. Central end -road of Kg.
Seberang Takir. * H.S. for hydrographic survey. ** P.RS for
photogrammetric remote sensing approach. *** Resurvey of the cadastral
lots of the existing certified plan.
AcknowledgementsThis paper described the work carried
out as part of feasibility study and detailed design of coastal protection
work at Kuala terengganu-seberang Takir, Malaysia. The authors gratefully
acknowledge the Drainage and Irrigation Department and the Terengganu
Survey Department for providing the necessary information required in this
study. References
- Drainage and Irrigation Dept. (DID). (Dec. 1985) Final Report on
Kuala Terengganu Sector, Natiional Coastal Erosion Study. (Unpublished).
- Drainage and Irrigation Dept. (DID). (Sept. 1982) Final Report on
Tanjong Berhala harbour Hydraulic Investigations. (Unpublished).
- Hashim, M; S. Ahmad and S.K. Ho. (1988). Evaluation of Image-to-Grid
Registration Accuracy of SPOT-1 MLA Data with Mathematical
Transformation. Proceedings of Earth Resources: Data, Systems and
Applications 88'. July 12-14 1988 Kuala Lumpur.
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