in varied landscapes. International Journal of Applied and
Earth Observation and Geoinformation, 5(2), 113–128.
https://doi:10.1016/j.jag.2004.01.005
Hervé, T., Benoît, D., Nicolas, C., Jacob, K., & Jean-Paul, R.
(2005). Monitoring coastal evolution and associated littoral hazards of French Guiana shoreline with radar
images. Comptes Rendus Geoscience, 337(13), 1140–
1153. https://doi.org/10.1016/j.crte.2005.05.013
Himmelstoss, E. A., Henderson, R. E., Kratzmann, M. G., &
Farris, A. S. (2018) Digital Shoreline Analysis System
(DSAS) version 5.0 user guide: U.S. Geological Survey
Open-File Report 2018–1179, 110 p. https://doi.org/10.
3133/ofr20181179
Hoque, M. A.-A., Ahmed, N., Pradhan, B., & Roy, S. (2019).
Assessment of coastal vulnerability to multi-hazardous
events using geospatial techniques along the eastern coast
of Bangladesh. Ocean & Coastal Management, 181, 104898.
https://doi.org/10.1016/j.ocecoaman.2019.104898
Ian, T. L., Mitchell, H. D., & Christopher, D. D. (2016).
UAVs for coastal surveying. Coastal Engineering, 114,
19–24. https://doi.org/10.1016/j.coastaleng.2016.03.011
Ivan, S., Francesco, S., Francesco, M., & Del Rio, L. (2014).
Image classification methods applied to shoreline extraction on very high-resolution multispectral imagery.
International Journal of Remote Sensing, 35(10), 3556–
3578. https://doi.org/10.1080/01431161.2014.907939
Jaime, A.-C., Elena, S.-G., Pardo-Pascual Josep, E., BalaguerBeser Angel, A., & Jesús, P.-V. (2016). Evaluation of
annual mean shoreline position deduced from Landsat
imagery as a mid-term coastal evolution indicator.
Marine Geology, 372, 79–88. https://doi.org/10.1016/j.
margeo.2015.12.015
James, M., Chantel, M., & Patricia, C.-F. 2015. Unmanned
aerial vehicles produce high-resolution, seasonally-relevant imagery for classifying wetland vegetation. ISPRS -
International archives of the photogrammetry. Remote
Sensing and Spatial Information Sciences, XL-1/W4,
249–256. https://doi.org/10.5194/isprsarchives-XL-1W4-249-2015 .
Jana, A., & Bhattacharya, A. K. (2013). Assessment of coastal
erosion vulnerability around Midnapur-Balasore Coast,
Eastern India using integrated remote sensing and GIS
techniques. J Indian Soc Remote Sens, 41(3), 675–686.
https://doi.org/10.1007/s12524-012-0251–2
Jesús, H., Efrén, M.-N., Alan, T. S., & Augusto, P.-A. (2019).
Remote sensing monitoring of a coastal-valley earthflow
in northwestern Galicia, Spain. CATENA, 178, 276–287.
https://doi.org/10.1016/j.catena.2019.03.028
Joevivek, V., & Saravanan Sakthivel, C. N. (2013). Coastal
vulnerability and shoreline changes for southern tip of
India-remote sensing and GIS approach. Journal of Earth
Science and Climatic Change, 4. https://doi.org/10.4172/
2157-7617.1000144
Joevivek, V., & Saravanan Sakthivel, C. N. (2018). Assessing
the shoreline trend changes in Southern tip of India.
Journal of Coastal Conservation, 23, 283–292. https://
doi.org/10.1007/s11852-018-0657-2
John, D. L., & Scott, S. G. (2010). Shoreline and beach volume
change between 1967 and 2007 at Raine Island, Great Barrier
Reef, Australia. Global and Planetary Change, 72(3), 141–
154. https://doi.org/10.1016/j.gloplacha.2010.01.026
Kaliraj, S., Chandrasekar, N., & Ramachandran, K. (2017).
Mapping of coastal landforms and volumetric change
analysis in the south-west coast of Kanyakumari, South
India using remote sensing and GIS techniques. The
Egyptian Journal of Remote Sensing and Space Science,
20(2), 265–282. https://doi.org/10.1016/j.ejrs.2016.12.006
Kankara, R. S., Selvan, S., Selvan, C., Markose Vipin, J., Rajan,
B., & Arockiaraj, S. (2015). Estimation of long and short
term shoreline changes along Andhra Pradesh Coast using
remote sensing and GIS techniques. Procedia Engineering,
116, 855–862. https://doi.org/10.1016/j.proeng.2015.08.374
Karim, N., Wael, M. E., Hassan, F., Ali, M., Kazuo, N., &
Abdelazim, N. (2019). Shoreline change detection using
DSAS technique: Case of North Sinai coast, Egypt.
Marine Georesources & Geotechnology, 37(1), 81–95.
https://doi.org/10.1080/1064119X.2018.1448912
Kawakubo, F. S., Morato, R. G., Nader, R. S., & Luchiari, A.
(2011). Mapping changes in coastline geomorphic features using Landsat TM and ETM+ imagery: Examples
in southeastern Brazil. International Journal of Remote
Sensing, 32(9), 2547–2562. https://doi.org/10.1080/
01431161003698419
Kim, I.-H., Lee, H.-S., & Song, D. (2013). Time series analysis of shoreline changes in Gonghyunjin and songjiho
Beaches, South Korea using aerial photographs and
remotely sensed imagery. Journal of Coastal Research,
165(sp2), 1415–1420. https://doi.org/10.2112/SI65-239.1
Konstantinos, N., Vassilia, K., & Demetrius, R. (2007).
Coastal water mapping using satellite hyperspectral
data. Spie Newsroom. https://doi.org/10.1117/2.1200612.
0498
Kroon, A., Davidson, M. A., Aarninkhof, S. G. J., Archetti,
R., Armaroli, C., Gonzalez, M., Medri, S., Osorio, A.,
Aagaard, T., Holman, R. A., & Spanhoff, R. (2007).
Application of remote sensing video systems to coastline
management problems. Coastal Engineering, 54(6–7),
493–505. https://doi.org/10.1016/j.coastaleng.2007.01.
004
Kumaravel, S., Ramkumar, T., Gurunanam, B., Suresh, M.,
& Dharanirajan, K. (2013). An application of remote
sensing and GIS Based Shoreline Change Studies—A
Case Study in the Cuddalore District, East Coast of
Tamilnadu, South India. International Journal of
Innovative Technology and Exploring Engineering
(IJITEE), 2(4), 211–215. https://www.ijitee.org/wp-con
tent/uploads/papers/v2i4/D0545032413.pdf
LGEd, T., & Elbeih, S. F. (2010). Investigation of fusion of SAR
and Landsat data for shoreline super resolution mapping:
The Northeastern Mediterranean sea Mediterranean Sea
coast in Egypt. Appl. Geomat, 2 (4), 177–186. 2010. https://
doi.org/10.1007/s12518-010-0033-x
Liu, Q., & John, T. (2018) Sub-Pixel Technique for Time
Series Analysis of Shoreline Changes Based on
Multispectral Satellite Imagery. IntechOpen. https://doi.
org/10.5772/intechopen.81789
Liu, Q., John, T., & Ian, T. (2017). Automatic super-resolution shoreline change monitoring using Landsat archival
data: A case study at Narrabeen-Collaroy Beach,
Australia. Journal of Applied Remote Sensing, 11(1),
016036. https://doi.org/10.1117/1.JRS.11.016036
Liu, Y., Huang, H., Qiu, Z., & Fan, J. (2013). Detecting
coastline change from satellite images based on beach
slope estimation in a tidal flat. International Journal of
Applied Earth Observation and Geoinformation, 23,165–
176. https://doi.org/10.1016/j.jag.2012.12.005
Louati, M., Saïdi, H. & Zargouni, F. Shoreline change assessment using remote sensing and GIS techniques: a case study
of the Medjerda delta coast, Tunisia. Arab J Geosci 8, 4239–
4255 (2015). https://doi.org/10.1007/s12517-014-1472–1
Louati, M., Saïdi, H. & Zargouni, F. (2015). Shoreline change
assessment using remote sensing and GIS techniques: a case
study of the Medjerda delta coast, Tunisia. Arab J Geosci 8,
4239–4255. https://doi.org/10.1007/s12517-014-1472-1
262
D. APOSTOLOPOULOS AND K. NIKOLAKOPOULOS
Earth Observation and Geoinformation, 5(2), 113–128.
https://doi:10.1016/j.jag.2004.01.005
Hervé, T., Benoît, D., Nicolas, C., Jacob, K., & Jean-Paul, R.
(2005). Monitoring coastal evolution and associated littoral hazards of French Guiana shoreline with radar
images. Comptes Rendus Geoscience, 337(13), 1140–
1153. https://doi.org/10.1016/j.crte.2005.05.013
Himmelstoss, E. A., Henderson, R. E., Kratzmann, M. G., &
Farris, A. S. (2018) Digital Shoreline Analysis System
(DSAS) version 5.0 user guide: U.S. Geological Survey
Open-File Report 2018–1179, 110 p. https://doi.org/10.
3133/ofr20181179
Hoque, M. A.-A., Ahmed, N., Pradhan, B., & Roy, S. (2019).
Assessment of coastal vulnerability to multi-hazardous
events using geospatial techniques along the eastern coast
of Bangladesh. Ocean & Coastal Management, 181, 104898.
https://doi.org/10.1016/j.ocecoaman.2019.104898
Ian, T. L., Mitchell, H. D., & Christopher, D. D. (2016).
UAVs for coastal surveying. Coastal Engineering, 114,
19–24. https://doi.org/10.1016/j.coastaleng.2016.03.011
Ivan, S., Francesco, S., Francesco, M., & Del Rio, L. (2014).
Image classification methods applied to shoreline extraction on very high-resolution multispectral imagery.
International Journal of Remote Sensing, 35(10), 3556–
3578. https://doi.org/10.1080/01431161.2014.907939
Jaime, A.-C., Elena, S.-G., Pardo-Pascual Josep, E., BalaguerBeser Angel, A., & Jesús, P.-V. (2016). Evaluation of
annual mean shoreline position deduced from Landsat
imagery as a mid-term coastal evolution indicator.
Marine Geology, 372, 79–88. https://doi.org/10.1016/j.
margeo.2015.12.015
James, M., Chantel, M., & Patricia, C.-F. 2015. Unmanned
aerial vehicles produce high-resolution, seasonally-relevant imagery for classifying wetland vegetation. ISPRS -
International archives of the photogrammetry. Remote
Sensing and Spatial Information Sciences, XL-1/W4,
249–256. https://doi.org/10.5194/isprsarchives-XL-1W4-249-2015 .
Jana, A., & Bhattacharya, A. K. (2013). Assessment of coastal
erosion vulnerability around Midnapur-Balasore Coast,
Eastern India using integrated remote sensing and GIS
techniques. J Indian Soc Remote Sens, 41(3), 675–686.
https://doi.org/10.1007/s12524-012-0251–2
Jesús, H., Efrén, M.-N., Alan, T. S., & Augusto, P.-A. (2019).
Remote sensing monitoring of a coastal-valley earthflow
in northwestern Galicia, Spain. CATENA, 178, 276–287.
https://doi.org/10.1016/j.catena.2019.03.028
Joevivek, V., & Saravanan Sakthivel, C. N. (2013). Coastal
vulnerability and shoreline changes for southern tip of
India-remote sensing and GIS approach. Journal of Earth
Science and Climatic Change, 4. https://doi.org/10.4172/
2157-7617.1000144
Joevivek, V., & Saravanan Sakthivel, C. N. (2018). Assessing
the shoreline trend changes in Southern tip of India.
Journal of Coastal Conservation, 23, 283–292. https://
doi.org/10.1007/s11852-018-0657-2
John, D. L., & Scott, S. G. (2010). Shoreline and beach volume
change between 1967 and 2007 at Raine Island, Great Barrier
Reef, Australia. Global and Planetary Change, 72(3), 141–
154. https://doi.org/10.1016/j.gloplacha.2010.01.026
Kaliraj, S., Chandrasekar, N., & Ramachandran, K. (2017).
Mapping of coastal landforms and volumetric change
analysis in the south-west coast of Kanyakumari, South
India using remote sensing and GIS techniques. The
Egyptian Journal of Remote Sensing and Space Science,
20(2), 265–282. https://doi.org/10.1016/j.ejrs.2016.12.006
Kankara, R. S., Selvan, S., Selvan, C., Markose Vipin, J., Rajan,
B., & Arockiaraj, S. (2015). Estimation of long and short
term shoreline changes along Andhra Pradesh Coast using
remote sensing and GIS techniques. Procedia Engineering,
116, 855–862. https://doi.org/10.1016/j.proeng.2015.08.374
Karim, N., Wael, M. E., Hassan, F., Ali, M., Kazuo, N., &
Abdelazim, N. (2019). Shoreline change detection using
DSAS technique: Case of North Sinai coast, Egypt.
Marine Georesources & Geotechnology, 37(1), 81–95.
https://doi.org/10.1080/1064119X.2018.1448912
Kawakubo, F. S., Morato, R. G., Nader, R. S., & Luchiari, A.
(2011). Mapping changes in coastline geomorphic features using Landsat TM and ETM+ imagery: Examples
in southeastern Brazil. International Journal of Remote
Sensing, 32(9), 2547–2562. https://doi.org/10.1080/
01431161003698419
Kim, I.-H., Lee, H.-S., & Song, D. (2013). Time series analysis of shoreline changes in Gonghyunjin and songjiho
Beaches, South Korea using aerial photographs and
remotely sensed imagery. Journal of Coastal Research,
165(sp2), 1415–1420. https://doi.org/10.2112/SI65-239.1
Konstantinos, N., Vassilia, K., & Demetrius, R. (2007).
Coastal water mapping using satellite hyperspectral
data. Spie Newsroom. https://doi.org/10.1117/2.1200612.
0498
Kroon, A., Davidson, M. A., Aarninkhof, S. G. J., Archetti,
R., Armaroli, C., Gonzalez, M., Medri, S., Osorio, A.,
Aagaard, T., Holman, R. A., & Spanhoff, R. (2007).
Application of remote sensing video systems to coastline
management problems. Coastal Engineering, 54(6–7),
493–505. https://doi.org/10.1016/j.coastaleng.2007.01.
004
Kumaravel, S., Ramkumar, T., Gurunanam, B., Suresh, M.,
& Dharanirajan, K. (2013). An application of remote
sensing and GIS Based Shoreline Change Studies—A
Case Study in the Cuddalore District, East Coast of
Tamilnadu, South India. International Journal of
Innovative Technology and Exploring Engineering
(IJITEE), 2(4), 211–215. https://www.ijitee.org/wp-con
tent/uploads/papers/v2i4/D0545032413.pdf
LGEd, T., & Elbeih, S. F. (2010). Investigation of fusion of SAR
and Landsat data for shoreline super resolution mapping:
The Northeastern Mediterranean sea Mediterranean Sea
coast in Egypt. Appl. Geomat, 2 (4), 177–186. 2010. https://
doi.org/10.1007/s12518-010-0033-x
Liu, Q., & John, T. (2018) Sub-Pixel Technique for Time
Series Analysis of Shoreline Changes Based on
Multispectral Satellite Imagery. IntechOpen. https://doi.
org/10.5772/intechopen.81789
Liu, Q., John, T., & Ian, T. (2017). Automatic super-resolution shoreline change monitoring using Landsat archival
data: A case study at Narrabeen-Collaroy Beach,
Australia. Journal of Applied Remote Sensing, 11(1),
016036. https://doi.org/10.1117/1.JRS.11.016036
Liu, Y., Huang, H., Qiu, Z., & Fan, J. (2013). Detecting
coastline change from satellite images based on beach
slope estimation in a tidal flat. International Journal of
Applied Earth Observation and Geoinformation, 23,165–
176. https://doi.org/10.1016/j.jag.2012.12.005
Louati, M., Saïdi, H. & Zargouni, F. Shoreline change assessment using remote sensing and GIS techniques: a case study
of the Medjerda delta coast, Tunisia. Arab J Geosci 8, 4239–
4255 (2015). https://doi.org/10.1007/s12517-014-1472–1
Louati, M., Saïdi, H. & Zargouni, F. (2015). Shoreline change
assessment using remote sensing and GIS techniques: a case
study of the Medjerda delta coast, Tunisia. Arab J Geosci 8,
4239–4255. https://doi.org/10.1007/s12517-014-1472-1
262
D. APOSTOLOPOULOS AND K. NIKOLAKOPOULOS