Research Article
Socio-Physical Assessment of Coastal Vulnerability Index in a Tourism Island Bali Using Multisatellite Data
@INPROCEEDINGS{10.4108/eai.28-10-2022.2326360, author={I Wayan Krisna Eka Putra and I Wayan Gede Astawa Karang and Abd. Rahman As-Syakur and I Wayan Arthana}, title={Socio-Physical Assessment of Coastal Vulnerability Index in a Tourism Island Bali Using Multisatellite Data}, proceedings={Proceedings of the 4th International Conference on Law, Social Sciences, and Education, ICLSSE 2022, 28 October 2022, Singaraja, Bali, Indonesia}, publisher={EAI}, proceedings_a={ICLSSE}, year={2023}, month={1}, keywords={sea level rise tourism coastal vulnerability}, doi={10.4108/eai.28-10-2022.2326360} }- I Wayan Krisna Eka Putra
I Wayan Gede Astawa Karang
Abd. Rahman As-Syakur
I Wayan Arthana
Year: 2023
Socio-Physical Assessment of Coastal Vulnerability Index in a Tourism Island Bali Using Multisatellite Data
ICLSSE
EAI
DOI: 10.4108/eai.28-10-2022.2326360
Abstract
The management of coastal areas in the Lovina area, Buleleng Bali, is currently faced with the threat of sea level rise. To keep tourism steady, disaster mitigation planning is needed that is sourced from the vulnerability data of coastal areas. Lovina coastal area vulnerability data from 2015-2020 were analyzed using physical and social indicators consisting of 7 types, namely land use, road network and elevation obtained from RBI map data; sea level rise obtained from Envisat altimetry satellite data; shoreline changes obtained from interpretation of satellite imagery; population density is obtained from data from the Central Statistics Agency; and cultural locations were obtained from field surveys. These indicators were then analyzed using the CVI method, and the results showed that the Lovina area's coastal vulnerability was in a low category. Detailed information on the vulnerability category of coastal areas, based on 14 grid areas with a grid width of 500 meters, it is known that ten grids are at a very low vulnerability index, 1 grid is low, two grids are medium, and one is very high. Grid areas with very high criteria are in the Kaliasem and Kalibukbuk areas nearest to the Lovina tourism center. The highest indicators causing variations in the vulnerability index are land use, road networks, and temples as part of religious tourism.