Archives
 
Year 2022
 
Vol 63, Issue 2, [04 - 2022]

Topographical change assessment of tidal flats in Ha Long - Cam Pha, Quang Ninh using Landsat

DOI:10.46326/JMES.2022.63(2).05

  • Affiliations:

    1 Hanoi University of Mining and Geology, Hanoi, Vietnam
    2 University of Science and Technology of Hanoi, Hanoi, Vietnam
    3 Co Do National Resources and Environmental office, Can Tho, Vietnam
    4 Tan Cuong Construction Consulting and Map Surveying Co., Ltd, Can Tho, Vietnam

  • *Corresponding:
    This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Received: 13th-Nov-2021
  • Revised: 24th-Feb-2022
  • Accepted: 24th-Mar-2022
  • Online: 30th-Apr-2022
Pages: 52 - 61
Views: 3308
View onlineView online
Downloads: 2321
Downdload PDF
★★★★★Rating: 5.0, Total rating: 232
  • ★
  • ★
  • ★
  • ★
  • ★
Yours rating

Abstract:

Assessment of landform change in tidal flat is crucial for ecological environment protection, coastal erosion prevention and development likelihood for local people. Multi-temporal remote sensing images are useful data to detect the change of tidal flat. This study aims to assess intertidal topographic changes by comparing digital elevation model (DEM) from 1988 to 2014. The DEMs were generated from Landsat images from 1988÷1990; 2000÷2001 and 2013÷2014 using the waterline method. Correlation between DEM in 2013÷2014 and field data reached the value R of 0.821. The area variation of tidal flat topography is presented by spatial indicators. (1) the change of area of tidal flat such as high tidal flat, middle tidal flat, and low tidal flat using overlay analysis. (2) volume change of tidal flat were detected by subtraction from DEMs. The area of tidal flat decreased 25.56 ha which shows erosion from 1988÷2001. Overall, 1000m3 of sediment deposited on the high tidal flat was indicated.

How to Cite
Pham, L.Thi, Tong, S.Si, Le, H.Thu Thi, Do, T.Van and Mai, H.Ngoc Thi 2022. Topographical change assessment of tidal flats in Ha Long - Cam Pha, Quang Ninh using Landsat (in Vietnamese). Journal of Mining and Earth Sciences. 63, 2 (Apr, 2022), 52-61. DOI:https://doi.org/10.46326/JMES.2022.63(2).05.
References

Amos, C.L. (1995). Siliciclastic Tidal Flats. Developments in Sedimentology, Vol. 53(C), pp. 273-306. https://doi.org/10.1016/S0070-4571 (05)80030-5

Chang, H.K., Chen, W.W., Liou, J.C. (2015). Shifting the waterlines of satellite images to the mean water shorelines considering wave runup, setup, and tidal variation. Journal of Applied Remote Sensing, Vol. 9, No. 1, 096004. https:// doi.org/10.1117/1.jrs.9.096004

Choe, B.H., Kim, D.J. (2018). SAR remote sensing of intertidal flats in Korea. In Remote Sensing of the Asian Seas (pp. 237-250). Springer International Publishing. https://doi.org/10. 1007/978-3-319-94067-0_13

Deroin, J.P., Shimada, M. (2010). The importance of local mean time in remote sensing for mapping megatidal zones. Comptes Rendus - Geoscience, Vol. 342, No. 1, pp. 11-18. https://doi.org/10. 1016/j.crte.2009.08.009

Heygster, G., Dannenberg, J., and Notholt, J. (2010). Topographic mapping of the german tidal flats analyzing SAR images with the waterline method. In IEEE Transactions on Geoscience and Remote Sensing, 48(3 PART 1), 1019-1030. https://doi.org/10.1109/TGRS.2009.2031843

https://maree.shom.fr/. (n.d.). https://maree. shom.fr/

Kang, Y., Ding, X., Xu, F., Zhang, C., Ge, X. (2017). Topographic mapping on large-scale tidal flats with an iterative approach on the waterline method. Estuarine, Coastal and Shelf Science, Vol. 190, pp. 11-22. https://doi.org/10.1016/j.ecss. 2017.03.024

Kim, S.W., Won, J.S. (ed.) (2019). ERS SAR interferometry for tidal flat DEM Measuring the uncertainty in geospatial modeling of natural and anthropogenic induced hazards View project ERS SAR INTERFEROMETRY FOR TIDAL FLAT DEM. https://www.researchgate. net/ publication/228716410

Kim, Y., Jang, D.H., Park, N.W., Yoo, H.Y. (2016). Assessment of landform changes in Baramarae tidal flat, Korea using combined analysis of multi-temporal remote sensing images and grain size measurement data. Journal of Marine Science and Technology (Taiwan), Vol. 24, No. 6, pp. 1070-1080. https://doi.org/10.6119/JMST-016-0729-1

Liu, Y., Li, M., Zhou, M., Yang, K., Mao, L. (2013). Quantitative analysis of the waterline method for topographical mapping of tidal flats: A case study in the dongsha sandbank, china. Remote Sensing, Vol. 5, No. 11, pp. 6138-6158. https://doi.org/ 10.3390/rs5116138

Mustafin, M.G., Thanh Son, T., Manh Hung, T. (2019). Comprehensive impact assessment development of the Coal field Campha in Vietnam to the coastal territory. IOP Conference Series: Materials Science and Engineering, Vol. 698, No. 5. https://doi.org/10.1088/ 1757-899X/698/5/055014

Quang Ninh provincial department of natural resources and environment (2014). Final report: environmental planning of Quang Ninh province to 2020 vision to 2030. (in Vietnamese)

Ryu, J.H., Kim, C.H., Lee, Y.K., Won, J.S., Chun, S.S., Lee, S. (2008). Detecting the intertidal morphologic change using satellite data. Estuarine, Coastal and Shelf Science, Vol. 78, No. 4, pp. 623-632. https://doi.org/10.1016/j.ecss. 2008.01. 020

Sriyanie, M. (2016). Coastal Ecosystem Series View project Sriyanie Miththapala International Union for Conservation of Nature. www.mangrovesforthefuture.org

Tong, S.S., Deroin, J.P., and Pham, T.L. (2020). An optimal waterline approach for studying tidal flat morphological changes using remote sensing data: A case of the northern coast of Vietnam. Estuarine, Coastal and Shelf Science, Vol. 236. https://doi.org/10.1016/j.ecss.2020. 106613

Tseng, K.H., Kuo, C.Y., Lin, T.H., Huang, Z.C., Lin, Y.C., Liao, W.H., and Chen, C.F. (2017). Reconstruction of time-varying tidal flat topography using optical remote sensing imageries. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 131, pp. 92-103. https://doi.org/10.1016/j.isprsjprs.2017.07.008

Wang, Y., Liu, Y., Jin, S., Sun, C., and Wei, X. (2019). Evolution of the topography of tidal flats and sandbanks along the Jiangsu coast from 1973 to 2016 observed from satellites. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 150, pp. 27-43. https://doi.org/10.1016/j.isprsjprs. 2019. 02.001