Tamil Nadu of India by using remote sensing and GIS.
Nat Hazards, 69(3), 1295–1314. https://doi.org/10.1007/
s11069-011-9962-x
Shenbagaraj, N., Mani, N. D., & Muthukumar, M. (2014).
Isodata classification technique to assess the shoreline
changes of Kolachel to Kayalpattanam coast. Int. J. Eng.
Res. Technol, 2014, 3(4). https://www.ijert.org/research/iso
data-classification-technique-to-assess-the-shorelinec h a n g e s - o f - k o l a c h e l - t o - k a y a l p a t t a n a m - c o a s t -
IJERTV3IS040136.pdf
Smith, M. J., & Cromley, R. G. (2012). Measuring historical
coastal change using gis and the change polygon
approach. Transactions in GIS, 16(1), 3–15. https://doi.
org/10.1111/j.1467-9671.2011.01292.x
Teodoro, A., Pais-Barbosa, J., Gonçalves, H., Veloso-Gomes,
F., & Taveira-Pinto, F. (2011). Identification of beach
hydromorphological patterns/forms through image classification techniques applied to remotely sensed data.
International Journal of Remote Sensing, 32(22), 7399–
7422. https://doi.org/10.1080/01431161.2010.523729
Teodoro, A. C., & Gonçalves, H. (2012). A semi-automatic
approach for the extraction of sandy bodies (sand spits)
from IKONOS-2 data. IEEE Journal of Selected Topics in
Applied Earth Observations and Remote Sensing, 5(2),
634–642. https://doi.org/10.1109/JSTARS.2011.2181339
Teodoro, A. C., Pais-Barbosa, J., Veloso-Gomes, F., & TaveiraPinto, F. (2009). Evolution of beach hydromorphological
behaviour and classification using image classification techniques. Journal of Coastal Research, 56(56), 1607–1611.
https://www.researchgate.net/publication/228343634_
Evaluation_of_beach_hydromorphological_behaviour_
and_classification_using_image_classification_techniques
Thampanya, U., Vermaat, J. E., Sinsakul, S., & Panapitukkul, N.
(2006). Coastal erosion and mangrove progradation of
Southern Thailand, Estuarine. Coastal and Shelf Science, 68
(1–2), 75–85. https://doi.org/10.1016/j.ecss.2006.01.011
Thomas, M., & Hildegard, W. (2014). Assessing long-term
changes in the beach width of reef Islands based on temporally fragmented remote sensing data. Remote Sensing, 6(8),
6961–6987. https://doi.org/10.3390/rs6086961
Tony, T., Michael, P., Allan, W., & Rhian, J. (2011). A multicentury record of linked nearshore and coastal change.
Earth Surface Processes and Landforms, 36(8), 995–1006.
https://doi.org/10.1002/esp.2127
Tony, V., Rudi, G., & Tharwat, G. (2006). The use of multitemporal Landsat images for the change detection of the
coastal zone near Hurghada, Egypt. International Journal
of Remote Sensing, 27(17), 3645–3655. https://doi.org/10.
1080/01431160500500342
Toure, S., Diop, O., Kpalma, K., & Maiga, A. S. (2019).
Shoreline detection using optical remote sensing: A
review. ISPRS International Journal of Geo-Information,
8(2), 75. https://doi.org/10.3390/ijgi8020075
Tuncay, K., Abdulaziz, G., Fevzi, K., & Mustafa, D. (2011).
Automatic detection of shoreline change on coastal
Ramsar wetlands of Turkey. Ocean Engineering -
OCEAN ENG, 38(10), 1141–1149. https://doi.org/10.
1016/j.oceaneng.2011.05.006
Usha, N., Anitha, P., Vishnunath, R., Edwin Jeba Kumar, G.,
& Ferrer Vincent, A. (2015). Monitoring longterm shoreline changes along Tamil Nadu, India using geospatial
techniques. Aquatic Procedia, 4, 325–332. https://doi.org/
10.1016/j.aqpro.2015.02.044
Valderrama-Landeros, L., & Flores-de-santiago, F. (2019).
Assessing coastal erosion and accretion trends along two
contrasting subtropical rivers based on remote sensing
data. Ocean & Coastal Management, 169, 58–67. https://
doi.org/10.1016/j.ocecoaman.2018.12.006
Vandebroek, E., Lindenbergh, R., Vvan an Leijen, F., De
Schipper, M., De Vries, S., & Hanssen, R. (2017). Semiautomated monitoring of a mega-scale beach nourishment using high resolution TerraSAR-X satellite data.
Remote Sens, 9(7), 633. https://doi.org/10.3390/rs9070653
Vasilis, P., Lemonia, R., Konstantia, M., & Michalis, Z.
(2018). Automatic coastline extraction using edge detection and optimization procedures. Geosciences, 8(11),
407. https://doi.org/10.3390/geosciences8110407
Vassilakis, E., & Papadopoulou-Vrynioti, K. (2014).
Quantification of deltaic coastal zone change based on
multi-temporal high resolution earth observation techniques. ISPRS Int. J. Geo-Information, 3(1), 18–28. https://
doi.org/10.3390/ijgi3010018
Vassilakis, E., Tsokos, A., & Kotsi, E. (2016). Shoreline change
detection αand coastal erosion monitoring using digital processing of a time series of high spatial resolution remote
sensing data. Bulletin of the Geological Society of Greece, 50
(3), 1747–1755. https://doi.org/10.12681/bgsg.11898
Vittal, H. A., & Akshaya, B. J. (2015). Shoreline transformation
study of Karnataka Coast: Geospatial approach. Aquatic
Procedia, 4. 151-156.https://doi.org/10.1016/j.aqpro.2015.02.021
Weicheng, W. (2007). Coastline evolution monitoring and estimation - A case study in the region of Nouakchott,
Mauritania. International Journal of Remote Sensing, 28(24),
5461–5484. https://doi.org/10.1080/01431160701227612
Wenyu, L., & Gong, P. (2016). Continuous monitoring of
coastline dynamics in western Florida with a 30-year time
series of Landsat imagery. Remote Sensing of Environment,
179, 196–209. https://doi.org/10.1016/j.rse.2016.03.031
Xu, H. (2006). Modification of normalised difference water
index (NDWI) to enhance open water features in remotely sensed imagery. Int. J. Remote Sens, 27(14), 3025–
3033. https://doi.org/10.1080/01431160600589179
Xuejie, L., & Damen, M. C. J. (2010). Coastline change detection
with satellite remote sensing for environmental management
of the Pearl River Estuary, China. Journal of Marine Systems,
82, S54–S61. https://doi.org/10.1016/j.jmarsys.2010.02.005
Yan, S., Liu, F., Ling, F., & Yue, L. (2019). Automatic semiglobal artificial shoreline subpixel localization algorithm
for Landsat imagery. Remote Sensing, 11(15), 1779.
https://doi.org/10.3390/rs11151779
Yawo, K., Martin, B., Frédéric, J., Kokouvi, A., & Kouami, K.
(2018). multitemporal analysis of coastal erosion based on
multisource satellite images in the south of the mono transboundary biosphere reserve in togo (West Africa). Open
Access Library Journal. 05,1–21. https://doi.org/10.4236/
oalib.1104526
Yulianto, F., Suwarsono, T. M., Khomarudin, R., &
Khomarudin, M. R. (2019). Analysis of the dynamics of
coastal landform change based on the integration of
remote sensing and gis techniques: Implications for
tidal flooding impact in pekalongan, central java,
Indonesia. Quaestiones Geographicae, 38(3), 17–29.
https://doi.org/10.2478/quageo-2019-0025
Zed Abu, A. A., Mohamed, S., & Yassin, A. A. (2018).
Evaluation of using satellite image in detecting long
term shoreline change along El-Arish coastal zone,
Egypt. Alexandria Engineering Journal, 57(4), 2687–
2702. https://doi.org/10.1016/j.aej.2017.10.005
Zifeng, W., Junguo, L., Jinbao, L., & David, Z. (2018). Multispectral water index (MuWI): A native 10-m multi-spectral
water index for accurate water mapping on sentinel-2. Remote
Sensing, 10(10), 1643. https://doi.org/10.3390/rs10101643
EUROPEAN JOURNAL OF REMOTE SENSING
265
Nat Hazards, 69(3), 1295–1314. https://doi.org/10.1007/
s11069-011-9962-x
Shenbagaraj, N., Mani, N. D., & Muthukumar, M. (2014).
Isodata classification technique to assess the shoreline
changes of Kolachel to Kayalpattanam coast. Int. J. Eng.
Res. Technol, 2014, 3(4). https://www.ijert.org/research/iso
data-classification-technique-to-assess-the-shorelinec h a n g e s - o f - k o l a c h e l - t o - k a y a l p a t t a n a m - c o a s t -
IJERTV3IS040136.pdf
Smith, M. J., & Cromley, R. G. (2012). Measuring historical
coastal change using gis and the change polygon
approach. Transactions in GIS, 16(1), 3–15. https://doi.
org/10.1111/j.1467-9671.2011.01292.x
Teodoro, A., Pais-Barbosa, J., Gonçalves, H., Veloso-Gomes,
F., & Taveira-Pinto, F. (2011). Identification of beach
hydromorphological patterns/forms through image classification techniques applied to remotely sensed data.
International Journal of Remote Sensing, 32(22), 7399–
7422. https://doi.org/10.1080/01431161.2010.523729
Teodoro, A. C., & Gonçalves, H. (2012). A semi-automatic
approach for the extraction of sandy bodies (sand spits)
from IKONOS-2 data. IEEE Journal of Selected Topics in
Applied Earth Observations and Remote Sensing, 5(2),
634–642. https://doi.org/10.1109/JSTARS.2011.2181339
Teodoro, A. C., Pais-Barbosa, J., Veloso-Gomes, F., & TaveiraPinto, F. (2009). Evolution of beach hydromorphological
behaviour and classification using image classification techniques. Journal of Coastal Research, 56(56), 1607–1611.
https://www.researchgate.net/publication/228343634_
Evaluation_of_beach_hydromorphological_behaviour_
and_classification_using_image_classification_techniques
Thampanya, U., Vermaat, J. E., Sinsakul, S., & Panapitukkul, N.
(2006). Coastal erosion and mangrove progradation of
Southern Thailand, Estuarine. Coastal and Shelf Science, 68
(1–2), 75–85. https://doi.org/10.1016/j.ecss.2006.01.011
Thomas, M., & Hildegard, W. (2014). Assessing long-term
changes in the beach width of reef Islands based on temporally fragmented remote sensing data. Remote Sensing, 6(8),
6961–6987. https://doi.org/10.3390/rs6086961
Tony, T., Michael, P., Allan, W., & Rhian, J. (2011). A multicentury record of linked nearshore and coastal change.
Earth Surface Processes and Landforms, 36(8), 995–1006.
https://doi.org/10.1002/esp.2127
Tony, V., Rudi, G., & Tharwat, G. (2006). The use of multitemporal Landsat images for the change detection of the
coastal zone near Hurghada, Egypt. International Journal
of Remote Sensing, 27(17), 3645–3655. https://doi.org/10.
1080/01431160500500342
Toure, S., Diop, O., Kpalma, K., & Maiga, A. S. (2019).
Shoreline detection using optical remote sensing: A
review. ISPRS International Journal of Geo-Information,
8(2), 75. https://doi.org/10.3390/ijgi8020075
Tuncay, K., Abdulaziz, G., Fevzi, K., & Mustafa, D. (2011).
Automatic detection of shoreline change on coastal
Ramsar wetlands of Turkey. Ocean Engineering -
OCEAN ENG, 38(10), 1141–1149. https://doi.org/10.
1016/j.oceaneng.2011.05.006
Usha, N., Anitha, P., Vishnunath, R., Edwin Jeba Kumar, G.,
& Ferrer Vincent, A. (2015). Monitoring longterm shoreline changes along Tamil Nadu, India using geospatial
techniques. Aquatic Procedia, 4, 325–332. https://doi.org/
10.1016/j.aqpro.2015.02.044
Valderrama-Landeros, L., & Flores-de-santiago, F. (2019).
Assessing coastal erosion and accretion trends along two
contrasting subtropical rivers based on remote sensing
data. Ocean & Coastal Management, 169, 58–67. https://
doi.org/10.1016/j.ocecoaman.2018.12.006
Vandebroek, E., Lindenbergh, R., Vvan an Leijen, F., De
Schipper, M., De Vries, S., & Hanssen, R. (2017). Semiautomated monitoring of a mega-scale beach nourishment using high resolution TerraSAR-X satellite data.
Remote Sens, 9(7), 633. https://doi.org/10.3390/rs9070653
Vasilis, P., Lemonia, R., Konstantia, M., & Michalis, Z.
(2018). Automatic coastline extraction using edge detection and optimization procedures. Geosciences, 8(11),
407. https://doi.org/10.3390/geosciences8110407
Vassilakis, E., & Papadopoulou-Vrynioti, K. (2014).
Quantification of deltaic coastal zone change based on
multi-temporal high resolution earth observation techniques. ISPRS Int. J. Geo-Information, 3(1), 18–28. https://
doi.org/10.3390/ijgi3010018
Vassilakis, E., Tsokos, A., & Kotsi, E. (2016). Shoreline change
detection αand coastal erosion monitoring using digital processing of a time series of high spatial resolution remote
sensing data. Bulletin of the Geological Society of Greece, 50
(3), 1747–1755. https://doi.org/10.12681/bgsg.11898
Vittal, H. A., & Akshaya, B. J. (2015). Shoreline transformation
study of Karnataka Coast: Geospatial approach. Aquatic
Procedia, 4. 151-156.https://doi.org/10.1016/j.aqpro.2015.02.021
Weicheng, W. (2007). Coastline evolution monitoring and estimation - A case study in the region of Nouakchott,
Mauritania. International Journal of Remote Sensing, 28(24),
5461–5484. https://doi.org/10.1080/01431160701227612
Wenyu, L., & Gong, P. (2016). Continuous monitoring of
coastline dynamics in western Florida with a 30-year time
series of Landsat imagery. Remote Sensing of Environment,
179, 196–209. https://doi.org/10.1016/j.rse.2016.03.031
Xu, H. (2006). Modification of normalised difference water
index (NDWI) to enhance open water features in remotely sensed imagery. Int. J. Remote Sens, 27(14), 3025–
3033. https://doi.org/10.1080/01431160600589179
Xuejie, L., & Damen, M. C. J. (2010). Coastline change detection
with satellite remote sensing for environmental management
of the Pearl River Estuary, China. Journal of Marine Systems,
82, S54–S61. https://doi.org/10.1016/j.jmarsys.2010.02.005
Yan, S., Liu, F., Ling, F., & Yue, L. (2019). Automatic semiglobal artificial shoreline subpixel localization algorithm
for Landsat imagery. Remote Sensing, 11(15), 1779.
https://doi.org/10.3390/rs11151779
Yawo, K., Martin, B., Frédéric, J., Kokouvi, A., & Kouami, K.
(2018). multitemporal analysis of coastal erosion based on
multisource satellite images in the south of the mono transboundary biosphere reserve in togo (West Africa). Open
Access Library Journal. 05,1–21. https://doi.org/10.4236/
oalib.1104526
Yulianto, F., Suwarsono, T. M., Khomarudin, R., &
Khomarudin, M. R. (2019). Analysis of the dynamics of
coastal landform change based on the integration of
remote sensing and gis techniques: Implications for
tidal flooding impact in pekalongan, central java,
Indonesia. Quaestiones Geographicae, 38(3), 17–29.
https://doi.org/10.2478/quageo-2019-0025
Zed Abu, A. A., Mohamed, S., & Yassin, A. A. (2018).
Evaluation of using satellite image in detecting long
term shoreline change along El-Arish coastal zone,
Egypt. Alexandria Engineering Journal, 57(4), 2687–
2702. https://doi.org/10.1016/j.aej.2017.10.005
Zifeng, W., Junguo, L., Jinbao, L., & David, Z. (2018). Multispectral water index (MuWI): A native 10-m multi-spectral
water index for accurate water mapping on sentinel-2. Remote
Sensing, 10(10), 1643. https://doi.org/10.3390/rs10101643
EUROPEAN JOURNAL OF REMOTE SENSING
265
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