Topography and morphodynamic study of intertidal mudflats along the eastern coast of the Gulf of Khambhat, India using remote sensing techniques

被引:9
|
作者
Jain, Ankrati [1 ]
Ramakrishnan, Ratheesh [2 ]
Thomaskutty, A. V. [3 ]
Agrawal, Ritesh [2 ]
Rajawat, A. S. [2 ]
Solanki, Hitesh [1 ]
机构
[1] Gujarat Univ, Dept Environm Sci, Ahmadabad, Gujarat, India
[2] Space Applicat Ctr ISRO, Geosci Div, Ahmadabad, Gujarat, India
[3] Adani Ports, Ahmadabad, Gujarat, India
关键词
Mudflat topography; Mudflat morphodynamics; Waterline detection; ICESat-2; ATL03; MORPHOLOGY; EROSION;
D O I
10.1016/j.rsase.2022.100798
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The intertidal mudflats that are exposed subaerially between the high and low tides have a complex morphology comprising ebb and flood tidal deltas, spits, shoals, and tidal sandbanks intervened with a network of meandering and branching tidal channels and inlets. The intertidal zones are highly transient and understanding their morphodynamics is critical to the ecology and economy of the region. Monitoring intertidal mudflat dynamics is imperative for sustainable development activities along coastal regions. The topography of intertidal mudflat is estimated for the eastern coast of the Gulf of Khambhat (north-western coast of India) using the waterline detection method from a series of satellite images. We have used Modified Normalized Difference Water Index and image threshold techniques to delineate waterlines from satellite images of high to low tidal conditions at different tidal heights. The waterlines are considered as elevation contours corresponding to tidal height during satellite observation, and a series of elevation contours delineated from satellite images of various tidal heights are then used to calculate the mudflat topography. The estimated topography is validated with the Differential Global Positioning System (DGPS), the Sound and navigation ranging (Sonar), and ICESat-2 ATL03 dataset observations, which results in R2 values of 0.97, 0.89, and 0.9, respectively, as well as RMSE values of 0.39 m, 0.33 m, and 0.49 m, respectively. The mudflat dynamics are studied by comparing the topographical changes estimated between the satellite images of 1998-99 and 2019. The major morphological changes are the landward shift of the low waterline, lateral migration of tidal bars, narrowing of the river mouth, as well as anthropogenic influences such as mudflat reclamation and impedance of long-shore sediment transport. The region with deposition of sediment above Mean Sea Level (MSL) has flattened the slope, making the mudflat stable and promoting mangroves expansion, while erosion has steepened the mudflats with loss of mangrove cover. These mudflats exhibit highly complex morphological changes mainly induced by sediment transport, two-way tidal currents, and fluvial fluxes. The estimated topography shall find its application in modeling coastal processes, identifying vulnerable coastal stretches, and site suitability for mangrove plantations.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Study of intertidal molluscan diversity of the Dakshina Kannada coast, India using remote sensing and GIS techniques
    D'Souza, Sandhya Leeda
    Bhat, H. Gangadhara
    Shenoy, K. Bhasker
    CURRENT SCIENCE, 2022, 122 (12): : 1426 - 1440
  • [2] Assessment of shoreline changes along Karnataka coast, India using GIS & Remote sensing techniques
    ChenthamilSelvan, S.
    Kankara, R. S.
    Rajan, B.
    INDIAN JOURNAL OF GEO-MARINE SCIENCES, 2014, 43 (07) : 1286 - 1291
  • [3] Impacts of coastal protection measures along the coast of Kerala, India (through remote sensing techniques)
    Sundar V.
    Sannasiraj S.A.
    Ramesh Babu S.
    ISH Journal of Hydraulic Engineering, 2024, 30 (02) : 254 - 264
  • [4] Decadal shoreline assessment using remote sensing along the central Odisha coast, India
    R. Mani Murali
    R. Dhiman
    Richa Choudhary
    Jaya Kumar Seelam
    D. Ilangovan
    P. Vethamony
    Environmental Earth Sciences, 2015, 74 : 7201 - 7213
  • [5] Decadal shoreline assessment using remote sensing along the central Odisha coast, India
    Murali, R. Mani
    Dhiman, R.
    Choudhary, Richa
    Seelam, Jaya Kumar
    Ilangovan, D.
    Vethamony, P.
    ENVIRONMENTAL EARTH SCIENCES, 2015, 74 (10) : 7201 - 7213
  • [6] Shoreline changes in response to sea level rise along Digha Coast, Eastern India: an analytical approach of remote sensing, GIS and statistical techniques
    Adarsa Jana
    Arkoprovo Biswas
    Sabyasachi Maiti
    Amit K. Bhattacharya
    Journal of Coastal Conservation, 2014, 18 : 145 - 155
  • [7] Shoreline changes in response to sea level rise along Digha Coast, Eastern India: an analytical approach of remote sensing, GIS and statistical techniques
    Jana, Adarsa
    Biswas, Arkoprovo
    Maiti, Sabyasachi
    Bhattacharya, Amit K.
    JOURNAL OF COASTAL CONSERVATION, 2014, 18 (03) : 145 - 155
  • [8] Application of Remote Sensing and GIS Techniques to Study Sediment Movement along Harwada Beach, Uttar Kannada, West Coast of India
    Waghmare, Sagar M.
    Hanamgond, Pramod T.
    Mitra, Debashish
    Koti, Basavraj K.
    Shinde, Priyanka S.
    JOURNAL OF COASTAL RESEARCH, 2020, 36 (06) : 1121 - 1129
  • [9] A quantitative analysis of shoreline changes along the coast of Bangladesh using remote sensing and GIS techniques
    Matin, Naila
    Hasan, G. M. Jahid
    CATENA, 2021, 201
  • [10] Discovery of heavy mineral-rich sand dunes along the Orissa-Bengal coast of India using remote sensing techniques
    Rao, K. Jagannadha
    Subramanyam, A. V.
    Kumar, Abhinav
    Sunil, T. C.
    Chaturvedi, A. K.
    CURRENT SCIENCE, 2008, 94 (08): : 983 - 985