An Analysis of Shoreline Changes Using Combined Multitemporal Remote Sensing and Digital Evaluation Model

Dao Dinh Cham, Nguyen Thai Son, Nguyen Quang Minh, Nguyen Tien Thanh, Tran Tuan Dung

Abstract


Cua Dai estuary belonged to Quang Nam province is considered to be one of the localities of Vietnam having a complex erosion and accretion process. In this area, sandbars are recently observed with lots of arguments about the causes and regimes of formation. This could very likely result of not reliable source of information on shoreline evolution and a lack of historical monitoring data. Accurately identification of shoreline positions over a given period of time is a key to quantitatively and accurately assessing the beach erosion and accretion. The study is therefore to propose an innovative method of accurately shoreline positions for an analysis of coastal erosion and accretion in the Cua Dai estuary. The proposed technology of multitemporal remote sensing and digital evaluation model with tidal correction are used to analyse the changes in shoreline and estimate the rate of erosion and accretion. An empirical formula is, especially, exposed to fully interpret the shoreline evolution for multiple scales based on a limitation of satellite images during 1965 to 2018. The results show that there is a significant difference of shoreline shift between corrections and non-corrections of tidal. Erosion process tends to be recorded in the Cua Dai cape located in the Cua Dai ward, especially in the An Luong cape located in the Duy Hai commune with the length of 1050 m. Furthermore, it is observed that there is much stronger erosion in the north side compared with south side of Cua Dai estuary.


Keywords


Cua Dai; Shoreline Evolution; Erosion; Tidal Correction; Tidal Level.

References


Available online: http://english.quangnam.gov.vn/default.aspx (accessed on August 15, 2019)

Committees, Q.N.P.P.s., Year-End Summary Report. 2018.

Vietnam, M.o.P.a.I.o., Annual Report of the Ministry of Planning and Investment of Vietnam. 2018.

Cham, Dao Dinh, Nguyen Quang Minh, Nghiem Tien Lam, Nguyen Thai Son, and Nguyen Tien Thanh. “Identification of Erosion-Accretion Causes and Regimes along the Quang Nam Coast, Vietnam.” APAC 2019 (September 26, 2019): 809–814. doi:10.1007/978-981-15-0291-0_111.

Thanh, Nguyen Tien, and Nguyen Hoang Son. “Understanding Shoreline and Riverbank Changes under the Effect of Meteorological Forcings.” APAC 2019 (September 26, 2019): 1303–1310. doi:10.1007/978-981-15-0291-0_177.

Hennig, Christian, Marina Meila, Fionn Murtagh, and Roberto Rocci, eds. Handbook of cluster analysis. CRC Press, (December 16, 2015). doi:10.1201/b19706.

Burningham, Helene, and Jon French. “Understanding Coastal Change Using Shoreline Trend Analysis Supported by Cluster-Based Segmentation.” Geomorphology 282 (April 2017): 131–149. doi:10.1016/j.geomorph.2016.12.029.

Mentaschi, Lorenzo, Michalis I. Vousdoukas, Jean-Francois Pekel, Evangelos Voukouvalas, and Luc Feyen. “Global Long-Term Observations of Coastal Erosion and Accretion.” Scientific Reports 8, no. 1 (August 27, 2018). doi:10.1038/s41598-018-30904-w.

Sun, Chuanliang, Yan Bian, Tao Zhou, and Jianjun Pan. “Using of Multi-Source and Multi-Temporal Remote Sensing Data Improves Crop-Type Mapping in the Subtropical Agriculture Region.” Sensors 19, no. 10 (May 26, 2019): 2401. doi:10.3390/s19102401.

Nolè, Gabriele, Maria Danese, Beniamino Murgante, Rosa Lasaponara, and Antonio Lanorte. “Using Spatial Autocorrelation Techniques and Multi-Temporal Satellite Data for Analyzing Urban Sprawl.” Lecture Notes in Computer Science (2012): 512–527. doi:10.1007/978-3-642-31137-6_39.

Pettorelli, Nathalie, William F. Laurance, Timothy G. O’Brien, Martin Wegmann, Harini Nagendra, and Woody Turner. “Satellite Remote Sensing for Applied Ecologists: Opportunities and Challenges.” Edited by E.J. Milner-Gulland. Journal of Applied Ecology 51, no. 4 (May 6, 2014): 839–848. doi:10.1111/1365-2664.12261.

Gao, Bo-cai. “NDWI—A Normalized Difference Water Index for Remote Sensing of Vegetation Liquid Water from Space.” Remote Sensing of Environment 58, no. 3 (December 1996): 257–266. doi:10.1016/s0034-4257(96)00067-3.

Xu, Hanqiu. “Modification of Normalised Difference Water Index (NDWI) to Enhance Open Water Features in Remotely Sensed Imagery.” International Journal of Remote Sensing 27, no. 14 (July 20, 2006): 3025–3033. doi:10.1080/01431160600589179.

Feyisa, Gudina L., Henrik Meilby, Rasmus Fensholt, and Simon R. Proud. “Automated Water Extraction Index: A New Technique for Surface Water Mapping Using Landsat Imagery.” Remote Sensing of Environment 140 (January 2014): 23–35. doi:10.1016/j.rse.2013.08.029.

Aedla, Raju, G.S. Dwarakish, and D. Venkat Reddy. “Automatic Shoreline Detection and Change Detection Analysis of Netravati-GurpurRivermouth Using Histogram Equalization and Adaptive Thresholding Techniques.” Aquatic Procedia 4 (2015): 563–570. doi:10.1016/j.aqpro.2015.02.073.

Jishuang, Q., W. Chao, and W. Zhengzhi, A multi-threshold based morphological approach for extracting coastal line feature in remote sensed images. International archives of photogrammetry remote sensing and spatial information sciences, 2002. 34(1): p. 184-188.

Bayram, Bülent, Inese Janpaule, Mustafa Oğurlu, Salih Bozkurt, Hatice Çatal Reis, and Dursun Zafer Şeker. “Shoreline Extraction and Change Detection Using 1:5000 Scale Orthophoto Maps: A Case Study of Latvia-Riga.” International Journal of Environment and Geoinformatics 2, no. 3 (December 31, 2015): 1–6. doi:10.30897/ijegeo.303552.

Ghoneim, Eman, Jehan Mashaly, Douglas Gamble, Joanne Halls, and Mostafa AbuBakr. “Nile Delta Exhibited a Spatial Reversal in the Rates of Shoreline Retreat on the Rosetta Promontory Comparing Pre- and Post-Beach Protection.” Geomorphology 228 (January 2015): 1–14. doi:10.1016/j.geomorph.2014.08.021.

Alesheikh, A. A., A. Ghorbanali, and N. Nouri. “Coastline Change Detection Using Remote Sensing.” International Journal of Environmental Science & Technology 4, no. 1 (January 1, 2007): 61–66. doi:10.1007/bf03325962.

Misra, A., and R. Balaji. “A Study on the Shoreline Changes and LAND-Use/ Land-Cover Along the South Gujarat Coastline.” Procedia Engineering 116 (2015): 381–389. doi:10.1016/j.proeng.2015.08.311.

ChenthamilSelvan, S., R. S. Kankara, and B. Rajan. "Assessment of shoreline changes along Karnataka coast, India using GIS & Remote sensing techniques." (2014).

Deepika, B., K. Avinash, and K. S. Jayappa. “Shoreline Change Rate Estimation and Its Forecast: Remote Sensing, Geographical Information System and Statistics-Based Approach.” International Journal of Environmental Science and Technology 11, no. 2 (February 20, 2013): 395–416. doi:10.1007/s13762-013-0196-1.

Kumar, Dipankar, and Satoshi Takewaka. “Automatic Shoreline Position and Intertidal Foreshore Slope Detection from X-Band Radar Images Using Modified Temporal Waterline Method with Corrected Wave Run-Up.” Journal of Marine Science and Engineering 7, no. 2 (February 12, 2019): 45. doi:10.3390/jmse7020045.

Murray, Nicholas, Stuart Phinn, Robert Clemens, Chris Roelfsema, and Richard Fuller. “Continental Scale Mapping of Tidal Flats Across East Asia Using the Landsat Archive.” Remote Sensing 4, no. 11 (November 9, 2012): 3417–3426. doi:10.3390/rs4113417.

Ryu, J, J Won, and K Min. “Waterline Extraction from Landsat TM Data in a Tidal flatA Case Study in Gomso Bay, Korea.” Remote Sensing of Environment 83, no. 3 (December 2002): 442–456. doi:10.1016/s0034-4257(02)00059-7.

Rezaee, Meysam, Aliasghar Golshani, and Hosein Mousavizadegan. “A New Methodology to Analysis and Predict Shoreline Changes Due to Human Interventions (Case Study: Javad Al-Aemmeh Port, Iran).” International Journal of Maritime Technology 12, no. Summer and Autumn 2019 (July 1, 2019): 9–23. doi:10.29252/ijmt.12.9.

Boak, Elizabeth H., and Ian L. Turner. “Shoreline Definition and Detection: A Review.” Journal of Coastal Research 214 (July 2005): 688–703. doi:10.2112/03-0071.1.

Chen, Wei-Wei, and Hsien-Kuo Chang. “Estimation of Shoreline Position and Change from Satellite Images Considering Tidal Variation.” Estuarine, Coastal and Shelf Science 84, no. 1 (August 2009): 54–60. doi:10.1016/j.ecss.2009.06.002.

Available online: http://tropic.ssec.wisc.edu/ (accessed on August 15, 2019).


Full Text: PDF

DOI: 10.28991/cej-2020-03091448

Refbacks

  • There are currently no refbacks.




Copyright (c) 2020 Dao Dinh Cham, Nguyen Thai Son, Nguyen Quang Minh, Nguyen Tien Thanh, Tran Tuan Dung

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
x
Message