Assessment of the coastal vulnerability index along Kota Bharu coast using geospatial techniques / Muhammad Hafidzuwan Che Nah

According to NCES, the total erosion rate in Kelantan in 2015 was 73.4% equivalent to 52.1km from 71km along the coast. This study aims to analyze the coastal vulnerability index along the Kelantan coast, using geospatial techniques. Based on this aim, the objective is as follows: i) To identify pot...

Full description

Saved in:
Bibliographic Details
Main Author: Che Nah, Muhammad Hafidzuwan
Format: Thesis
Language:English
Published: 2021
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/43807/2/43807.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:According to NCES, the total erosion rate in Kelantan in 2015 was 73.4% equivalent to 52.1km from 71km along the coast. This study aims to analyze the coastal vulnerability index along the Kelantan coast, using geospatial techniques. Based on this aim, the objective is as follows: i) To identify potential parameters of CVI along Kota Bharu coast ii) To determine coastal vulnerability level using CVI modeller iii) To produce CVI map along Kota Bahru coast use geospatial technique. Satellite image which is Sentinel 2A were used to perform pre-processing, land use classification and shoreline digitizing. Determination of fundamental vulnerability parameters such as land use classification, shoreline change rate, and coastal slope. These three variables are used to calculate the determination of CVI. Rank the vulnerability parameters and lastly produce a CVI map. The study reveals the ranking of the vulnerability parameters based on calculations from the modeler / formula used for each type of vulnerability in the four-management unit that has been created and produce CVI Map along 13km of the Kota Bharu coast. The map shows that the area of MU 1 is low (2), MU 2 very low (1), MU 3 very high (5) and MU 4 high (4). The coastal vulnerability map produced using the methods applied in this research serve as a specific predictor of threats to people living in this coastal area and this analysis can be used for proper planning and management that will minimize risk in the ecosystem and promoting safe adaptation to these natural hazards.