{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T04:46:18Z","timestamp":1771476378859,"version":"3.50.1"},"reference-count":137,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T00:00:00Z","timestamp":1662336000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Japan International Cooperation Agency (JICA) through the Innovative Asia Program in 2018\u20132021"},{"name":"the Ministry of Marine Affairs and Fisheries of the Republic of Indonesia through research funding of the Institute for Marine Research and Observation in 2020"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Coastal zones are considered to be highly vulnerable to the effects of climate change, such as erosion, flooding, and storms, including sea level rise (SLR). The effects of rising sea levels endanger several nations, including Indonesia, and it potentially affects the coastal population and natural environment. Quantification is needed to determine the degree of vulnerability experienced by a coast since measuring vulnerability is a fundamental phase towards effective risk reduction. Therefore, the main objective of this research is to identify how vulnerable the coastal zone of Bali Province by develop a Coastal Vulnerability Index (CVI) of areas exposed to the sea-level rise on regional scales using remote sensing and Geographic Information System (GIS) approaches. This study was conducted in Bali Province, Indonesia, which has a beach length of ~640 km, and six parameters were considered in the creation to measure the degree of coastal vulnerability by CVI: geomorphology, shoreline change rate, coastal elevation, sea-level change rate, tidal range, and significant wave height. The different vulnerability parameters were assigned ranks ranging from 1 to 5, with 1 indicating the lowest and 5 indicating the highest vulnerabilities. The study revealed that about 138 km (22%) of the mapped shoreline is classified as being at very high vulnerability and 164 km (26%) of shoreline is at high vulnerability. Of remaining shoreline, 168 km (26%) and 169 km (26%) are at moderate and low risk of coastal vulnerability, respectively. This study outcomes can provide an updated vulnerability map and valuable information for the Bali Province coast, aimed at increasing awareness among decision-makers and related stakeholders for development in mitigation and adaptation strategies. Additionally, the result may be utilized as basic data to build and implement appropriate coastal zone management.<\/jats:p>","DOI":"10.3390\/rs14174409","type":"journal-article","created":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T04:18:32Z","timestamp":1662610712000},"page":"4409","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Coastal Vulnerability Assessment of Bali Province, Indonesia Using Remote Sensing and GIS Approaches"],"prefix":"10.3390","volume":"14","author":[{"given":"Amandangi Wahyuning","family":"Hastuti","sequence":"first","affiliation":[{"name":"Graduate School of Sciences and Technology for Innovation, Yamaguchi University, 2-16-1, Tokiwadai, Ube 755-8611, Yamaguchi, Japan"},{"name":"Institute for Marine Research and Observation, Ministry of Marine Affairs and Fisheries of the Republic of Indonesia, Bali, Negara 82251, Jembrana, Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0625-762X","authenticated-orcid":false,"given":"Masahiko","family":"Nagai","sequence":"additional","affiliation":[{"name":"Graduate School of Sciences and Technology for Innovation, Yamaguchi University, 2-16-1, Tokiwadai, Ube 755-8611, Yamaguchi, Japan"},{"name":"Center for Research and Application of Satellite Remote Sensing, Yamaguchi University, 2-16-1, Tokiwadai, Ube 755-8611, Yamaguchi, Japan"}]},{"given":"Komang Iwan","family":"Suniada","sequence":"additional","affiliation":[{"name":"Institute for Marine Research and Observation, Ministry of Marine Affairs and Fisheries of the Republic of Indonesia, Bali, Negara 82251, Jembrana, Indonesia"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Rizzo, A., and Anfuso, G. 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