Assessing shoreline response to three submerged breakwaters at Kerteh Bay, Terengganu, Malaysia using Landsat imagery

7th IGRSM International Remote Sensing & GIS Conference and Exhibition

地球科学;计算机科学

Tunji, Lawal Abdul Qayoom^1 ; Yusof, Khamaruzaman Wan^1 ; Hashim, Ahmad Mustafa^1 ; Sapari, Nasiman^1

Civil Engineering Department, Universiti Teknologi PETRONAS, 31750 Perak, Malaysia^1

关键词: Environmental parameter;    Landsat imagery;    LANDSAT satellite images;    Mean sea level;    Multi-temporal;    Remote sensing techniques;    Submerged breakwater;    Supervised classification;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/20/1/012020/pdf
DOI  :  10.1088/1755-1315/20/1/012020

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

As part of a project to determine the exact structural and environmental parameters governing the mode and magnitude of salient formation behind a submerged breakwater, a remote sensing technique is being adopted to assess the extent of erosion/accretion at Kerteh Bay, T errengganu, Malaysia. Multi-temporal Landsat satellite images of coarse resolution for the years of 1994, 2000, 2006, 2009 and 2012 were acquired for this purpose. The images were subsets divided into smaller areas of interest and classified using supervised classification of support vector machine. The classified image is then vectorized to extract shoreline based on waterline in each of the subset rasters images. Tidal correction were adopted to correct the waterline/shoreline to the mean sea level (MSL) datum. Comparison of corrected shorelines was carried to obtain the extent of erosion/accretion at the Kerteh Bay, Terrenganu, Malaysia. It was observed that substantial accretion was observed between the years 1994-2006 at the upper part of the study area, the part between northern part and the southern part also experienced accretion but not as much as compared to northern part for the same year. Erosion was noted between the years 2006-2012 for all of the areas of the study area but the rate slowed down between the years 2009-2012 for all the areas. Slope estimated from the imageries were compared with in situ slope of the same area, this served as a validation for the method used.