Transcript
Page 1: MEASURING POCKET GRAVEL BEACH CHANGES …Ruži1 ć, Ilic and Benac MEASURING POCKET GRAVEL BEACH CHANGES WITH A DIGITAL CAMERA Igor Ruži ć1, Suzana Ilic 2 and Čedomir Benac 3, Abstract:

Ružić, Ilic and Benac 1

MEASURING POCKET GRAVEL BEACH CHANGES WITH A DIGITAL

CAMERA

Igor Ružić1, Suzana Ilic2 and Čedomir Benac3,

Abstract: This paper examines capabilities of the Structure-from-Motion

(SfM) photogrammetry for monitoring of changes on pocket gravel beaches.

A single digital camera was used to get images from a beach on the Croatian

coast. This provided a cheap and quick image requisition. Images were

processed by an online available SfM photogrammetry software. 3D point

clouds derived from images were of 5 cm accuracy. Georeferencing of 3D

point clouds using permanent ground control points (GCPs) enabled their

comparison and assessment of beach changes. Number of parameters, which

are relevant for examining beach geomorphology and which can potentially

be used for coastal management are derived from the point clouds. Moreover

a series of measurements taken on before and after storms can be useful for

assessing stability and sustainability of these coastal systems.

INTRODUCTION

Most beaches on the Croatian coast are small pocket gravel beaches formed by the

deposition of sediments by torrential flows. These are pebble and gravel beaches usually

not longer than 300 m (Juračić et al. 2009, Benac et al. 2013). Gravel pocket beaches

change fast due to their short response time to energetic events. Changes during these

events ranging in several decimeter to meters in vertical elevation to several meters in

the shoreline position. Past studies (e.g. Carter and Orford 1993; Forbes et al. 1997;

Shulmeister and Kirk 1997; Jennings et al. 1998) focused mainly on long-term

morphological changes and not much is known how these beaches response to changes

in driving conditions on shorter scale , such as waves, tides and storm surges. Beach

changes that take place over temporal scales of days (e.g. storms) up to seasons are also

important for coastal management. However measurements on gravel beaches are

extremely difficult due to movement of sediment of large sizes and shear forces that

1 University of Rijeka, Faculty of Civil Engineering, Radmile Matejčić 3, HR-51000 Rijeka, Croatia.

[email protected]

2 University of Lancaster, Lancaster Environment Centre, LA1 4YQ Lancaster, UK. [email protected]

Email address

3 University of Rijeka, Faculty of Civil Engineering, Radmile Matejčić 3, HR-51000 Rijeka, Croatia.

[email protected]

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these beaches experience. Also rare measurements in single points are not able to

capture changes across and along the beach areas. Advances in new technologies, such

as RTK-GPS surveying and in particular remote sensing provide spatial and temporal

resolutions for capturing short-term changes. These provided more in depth information

about morphological changes on these beaches and mechanisms behind them (e.g.

Curtiss et al. 2009, Ruiz de Alegria-Arzaburu and Masselink 2010, Poate et al. 2013).

Remote sensing enables fast and simple collection of high-accuracy three-dimensional

(3D) spatial data. Remote sensing technologies, which are applied or have a potential to

be applied for studies of gravel beaches are laser scanning (airborne and terrestrial),

photogrammetry, soft-copy photogrammetry, video imaging and Structure-from-Motion

(SfM) photogrammetry.

The latter is becoming increasingly used in geomorphological studies (Westoby et al.

2012, James et al. 2013, Ružić et al. 2013, Fonstad et al. 2013). The SfM

photogrammetry creates 3D point clouds from photographs, taken from a different

location with a single consumer-grade camera. The method works by matching image

texture in different photographs, and determining the 3D geometry under the

assumption that the scheme is static while the photographs were taken. This single

camera based approach has been found to have an advantage over laser scanning in

rapidly changing or spatially limited areas, due to low cost and fast recording (James et

al. 2013; Ružić et al. 2014). It provides fast collection of high-accuracy and high-density

3D point clouds.

Here we examine capabilities of the method in monitoring and assessing changes of a

gravel pocket beach. An ultimate aim is to develop a monitoring approach, which can

be easily applied and used by coastal managers on day-to-day basis.

STUDY SITE AND METHODOLOGY

The study was carried on a small pocket beach in Brseč, located at the western edge

of the Kvarner Bay in the North Adriatic, Croatia (Fig. 1.). The beach is located in a

small cove and surrounded by high limestone cliffs. The length of the Brseč beach is 37

meters, and the width of the beach varies from 0 to 20 meters, depending on

environmental conditions. Beach sediment size is in a range from 2 to 45 mm. Although

rather small, this beach attracts tourists to the village of Brsece and hence makes an

important part of the local economy. Beach is also interesting from geomorphological

perspective as it was completely washed out and recovered back to its original state on

several occasions.

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Fig. 1. Investigation area map

Nine successive surveys were carried out between 4 October and 27 December 2013

(Table 1). During these surveys significant beach morphological changes were recorded

as a consequence of high energetic events and changing wind directions.

Table 1. Conducted survey dates and numbers

Survey

number Date

1 04.10.2013

2 30.10.2013

3 06.11.2013

4 10.11.2013

5 12.11.2013

6 28.11.2013

7 04.12.2013

8 24.12.2013

9 27.12.2013

Images were collected using a single 10-megapixel Ricoh GR Digital IV camera. A

special care was taken to acquire sharp and well-focused images, as blurred and out of

focus images are not suitable for the SfM reconstruction. Surrounding cliffs enabled

photographs to be taken from a wide range of horizontal and vertical angles, which is

beneficial for creating 3D point clouds. The 3D point clouds were generated from

approximately 250 images using Autodesk ReCap online service

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(https://recap360.autodesk.com/). Cloud Compare software

(http://www.danielgm.net/cc/) was used for the 3D point cloud geo-referencing. Images

were georeferenced to Croatian ordinate system (HTRS 96) by using four ground

control points (GCP), which were clearly marked on the rocks with a fluorescent paint

(Fig. 2.) and which coordinates were obtained from surveys with the Real Time

Kinematic GPS (RTK-GPS).

Fig. 1. Left: Ground control point (GCP) layout; Right: GCP marking

Comparison of 3D coordinates from the point cloud and RTK-GPS surveys at 24

randomly chosen ‘verification points’ gave the root mean square error (RMSE) of the

vertical offset of 4.0cm when all points were taken into account. The RMSE was 3.2cm

for points on the beach and 4.9cm for the points on the rocks (Fig. 3.). Only at one point

on the beach (Fig. 3.), vertical offset was 9 cm, which may be a consequence of the poor

GPS signal below the cliff. Figure 3 shows locations of GCPs and verification points. A

verification criterion was set taking into account the RTK-GPS vertical precision of 5

cm. The vertical offset lower than 5cm was considered as good and is marked in green

in figure 3. Those points with the vertical offset higher than 10 cm are considered as

poor (red points) while those points between 5 and 10 cm as reasonably good (yellow

points). The accuracy of the 3D point-cloud is comparable to the accuracy of the RTK-

GPS surveys.

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Fig. 3: GCP and verification points layout; distribution

RESULTS AND DISCUSSION

Figure 4 shows beach shore line changes derived from the images at three different

dates, showing beach response to three typical environmental conditions; calm

conditions and storm conditions with waves generated by SE winds and waves

generated by NE winds.

Fig. 4. Brseč (Klančac) beach rotation are shown on photo-realistic 3D point

cloud; A – after a calm period (4.10.2013); B – after NE storm (12.11.2013.); C

– after SE storm (27.12.2013.); D – Measured beach shorelines shown in A, B

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and C; (In all plots red contour stands for a waterline during calm period,

green contour stands for waterline after NE storm and blue contour stands for

waterline after SE storm)

While this is a micro-tidal beach with low tidal elevation, there is still difference in

sea surface elevation and wave set-up during images acquisition. Hence a contour

elevation of 0.4 m was taken as a reference waterline to describe the shoreline changes.

Fig. 5. Brseč gravel pocket beach recorded cross-shore (A-C) and long-shore

(D-F) profile changes between 4th October and 27th December.

Approximately average beach shoreline location is marked with red color (Fig. 4.A.)

and it stretches uniformly along the beach. Green line (Fig. 4.B.) marks the shoreline

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resulting from waves generated by strong NE wind. This line retreats in the north-

eastern corner of the beach, resulting in slightly rotated shoreline. Red line (Fig. 4.C.) is

affiliated to the shoreline resulting from waves generated by SE wind, which advanced

in the north-eastern corner of the beach and retreats in the south-western corner of the

beach resulting in the opposite rotation. Figure 4.D. shows all three shoreline together.

The shoreline during calm period is approximately an average shoreline. The shoreline

rotation was up to 32° between measurements taken after SE and NE storm. A resulting

shift of shorelines was 7.5m on the north-eastern part and about 8m on the south-

western part.

Cross-shore (A, B, C) and longshore profiles (D, E, F) derived from 3D point clouds are

presented in figure 5. The top panel in figure 5 shows the location of these profiles.

Changes in beach elevation at cross-shore profile A (Fig. 5.A.) were greater than 1m.

The beach extension (width) varied from 0 (27.12.2013.) to 8 meters (12.11.2013).

Changes in beach elevation at cross-shore profile C (Fig. 5.) were greater than 1.2 m.

Beach width varied from 5 m after strong NE wind (04.12.2013.) up to 14 meters after

moderate SE wind (6.11.2013). The least changes were recorded at profile B in the

middle (Fig. 5.). Profile B is in the middle of the beach where a beach pivot point is.

Beach width varied here up to 4 meters and beach height varied up to 0.60 m.

Beach elevation changes are also visible in longshore profile D (Fig. 5.), which were up

to 1 meter. The largest recorded elevation was after moderate SE winds (6.11.2013).

Erosion was recorded after strong NE wind (12.11.2013.).

Beach elevations at long-shore profile E (Figure 5) were ranging from total erosion

(27.12.2013) to 1 m (12.11.2013.) at south-eastern part of the beach. Elevations on the

opposite side of the beach were ranging from 0.40 (4.12.2013) to 1.5 meters

(06.11.2013). The largest changes which were greater than 1 m, were recorded at long-

shore profile F, near the shore line (Fig. 5.).

These surveys revealed that beach erosion occurs quickly. Storms from both wind

dominant directions (SE and NE) have large effect on beach stability. Such behavior

was observed on gravel beaches (Sherman 1991, Ivamy and Kenc 2006, Ruiz de

Alegria-Arzaburu and Masselink 2010) and pocket sandy beaches (Dail et al. 2000;

Dehouck et al. 2009), but this has been proofed for the first time on gravel pocket

beaches. Changes in beach elevations and in particular in beach orientation were

pronounced. Change in shoreline orientation was up to 30° degrees (Fig. 2.). Focus of

further study will be to relate these observed changes to hydrodynamic and sediment

beach processes.

The SfM photogrammetry approach has proved to be a useful method for monitoring

of gravel pocket beaches. It reduces data acquisition significantly. For this particular

site, image acquisition took about 15 minutes, once GCPs were set-up permanently. The

accuracy of the 3D point-cloud spatial data were verified with measurements from the

RTK-GPS survey. Recorded beach height changes are more than ten times greater than

the assessed accuracy. However, further improvement are possible if GCPs surveys are

derived more precisely (Harwin and Lucieer 2012). However, there are limitations as

only changes at emerged part of the beach can be recorded. When assessing volume

changes after the storms, it would be useful to have measurements taken in nearshore

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where sediment is washed to. Despite this the method has a large potential for gravel

beach monitoring application.

CONCLUSION

This paper demonstrated a successful application of the Structure-from-Motion (SfM)

photogrammetry for studying and monitoring gravel pocket beaches. The SfM

photogrammetry provides quick and cheap measurement of high accuracy 3D point

clouds, which can be used to study beach changes. Shoreline changes and changes in

cross-shore and longshore beach profiles, which were derived from georeferenced 3D

point clouds showed rapid changes taking place on a pocket gravel beach due to

changes in wind conditions from SE to NE. It also highlighted a need for permanent

monitoring to assess the beach changes properly.

ACKNOWLEDGEMENTS

This paper is a result of a research activity under the project “Geological hazard in the

Kvarner area” of the University of Rijeka.

REFERENCES

Carter, R.W.G., Orford, J.D. (1993). “The morphodynamics of coarse clastic beaches

and barriers: a short term and loA3:A23ng term perspective” J. Coast. Res. SI 15,

158–179.

Curtiss, G. M., Osborne, P. D., and Horner-Devine, A. R. (2009). Seasonal patterns of

coarse sediment transport on a mixed sand and gravel beach due to vessel wakes,

wind waves, and tidal currents. Marine Geology, 259, 1-4, 73–85.

Benac, Č., Juračić, M., Matičec, D., Ružić, I., and Pikelj, K. (2013). “Fluviokarst and

classical karst: examples from the Dinarics (Krk Island, Northern Adriatic, Croatia)”.

Geomorphology 184:64–73

Dail, H.J., Merrifield, M. and Bevis, M. (2000). “Steep beach morphology changes due

to energetic wave forcing.” Marine Geology, 162(2-4), 443–458.

Dehouck, A., Dupuis, H., and Sénéchal, N. (2009). “Pocket beach dynamics: the

example of four macrotidal beaches, Brittany, France.” Marine Geology 266, 1–17.

Fonstad, M.A., Dietrich, J.T. , Courville, B.C., Jensen J.L., and Carbonneau P.E. (2013)

“Topographic structure from motion: a new development in photogrammetric

measurement.” Earth Surf Process Landforms 38(4):421–430

Forbes, D.L., Taylor, R.B., Orford, J.D., Carter, R.W.G., and Shaw, J. (1997). Gravel-

barrier migration and overstepping. Mar. Geol. 97, 305–313.

Harwin, S. and Lucieer, A. (2012). “Assessing the Accuracy of Georeferenced Point

Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle, UAV

Imagery.” Remote Sensing, 4, 12, 1573–1599.

Ivamy, M.C., and Kench, P.S. (2006). “Hydrodynamics and morphological adjustment

of a mixed sand and gravel beach, Torere, Bay of Plenty, New Zealand.” Marine

Geology, 228, 1-4, 137–152.

Page 9: MEASURING POCKET GRAVEL BEACH CHANGES …Ruži1 ć, Ilic and Benac MEASURING POCKET GRAVEL BEACH CHANGES WITH A DIGITAL CAMERA Igor Ruži ć1, Suzana Ilic 2 and Čedomir Benac 3, Abstract:

Ružić, Ilic and Benac 9

James, M. R., and Robson, S. (2012). “Straightforward reconstruction of 3D surfaces

and topography with a camera: Accuracy and geoscience application.” Journal of

Geophysical Research, 117, F3, F03017

James, M.R., Ilić, S., and Ružić, I. (2013). “Measuring 3D coastal change with a digital

camera.” Coastal Dynamics 2013. 7th International Conference on Coastal

Dynamics, Arcachon, 893-904.

Jennings, S., Orford, J.D., Canti, M., Devoy, R.J.N., and Straker, V. (1998). “The role

of relative sea level rise and changing sediment supply on Holocene gravel barrier

development: the example of Porlock, Somerset, UK.” Holocene 8, 165-181.

Juračić, M., Benac, Č., Pikelj, K., and Ilic, S. (2009). “Comparison of the vulnerability

of lime-stone (karst) and siliciclastic coasts (example from the Kvarner area, NE

Adriatic, Croatia).” Geomorphology, 107: 90–99.

Poate, T., Masselink, G., Davidson, M., McCall, R., Russell, P., and Turner, I. (2013).

“High frequency in-situ field measurements of morphological response on a fine

gravel beach during energetic wave conditions”. Marine Geology, 342, 1–13.

Ruiz de Alegria-Arzaburu, A., and Masselink, G. (2010). “Storm response and beach

rotation on a gravel beach, Slapton Sands, U.K.” Marine Geology, 278, 1-4, 77–99.

Ružić, I., Marović, I., Vivoda, M., Dugonjić Jonjčević, S., Kalajžić, D., Benac, Č., and

Ožanić, N. (2013). “Application of Structure-from-Motion photogrammetry for

erosion processes monitoring, Moscenicka Draga example.” Proc. of the 4th

Workshop of the Japanese-Croatian Project on “Risk Identification and Land-Use

Planning for Disaster Mitigation of Landslides and Floods in Croatia, University of

Split, Split, pp. 49-50.

Ružić. I., Marović, I., Benac, Č., and Ilić, S. (2014). “Coastal cliff geometry derived

from Structure-from-Motion photogrammetry at Stara Baška, Krk Island, Croatia.”

Geo-Marine Letters, 34: 555-565.

Sherman, D.J. (1991). “Gravel beaches”. Nat. Geogr. Res. 7 (4), 442–452.

Shulmeister, J., and Kirk, R.M. (1997). “Holocene fuvial-coastal in- teractions on a

mixed sand and sand and gravel beach sys- tem, North Canterbury, New Zealand.2

Catena 30, 337-355.

Westoby, M. J., Brasington, J., Glasser, N. F., Hambrey, M. J., and Reynolds, J. M.

(2012). “Structure-from-Motion photogrammetry: A low-cost, effective tool for

geoscience applications.” Geomorphology, 179, 300–314.