Comprehensive Analysis of Coastal Dynamics in Cirebon Coastal Area (CCA), Indonesia SCIE SCOPUS

Cited 2 time in WEB OF SCIENCE Cited 5 time in Scopus
Title
Comprehensive Analysis of Coastal Dynamics in Cirebon Coastal Area (CCA), Indonesia
Author(s)
Abdurrahman, Umar; Diastomo, Hanif; Avrionesti; Surya, Martin Yahya; Badriana, Mochamad Riam; Suprijo, Totok; Park, Han San
KIOST Author(s)
Park, Han San(박한산)
Alternative Author(s)
박한산
Publication Year
2021-10
Abstract
Cirebon Coastal Area (CCA), which covers Cirebon City and Cirebon District, is an area located on the north coast of Java Island, Indonesia. The area was among the coastal areas with a high-density population in Indonesia. Human activities in this area, which are dominated by industries, fisheries, and agriculture, strongly influenced the coastal environmental conditions. One of the effective and accurate ways to monitor the coastal environmental conditions is to utilize remote sensing technology which has grown significantly in recent years. Although various studies have been conducted, different results were shown and indicated that the coastal dynamics in CCA were not fully understood yet. This research provides comprehensive analysis with the aim to comprehend the complete pattern of coastal dynamics in CCA. Analysis of coastal dynamics has been carried out by using a combination of Landsat and Google Earth data. This robust combination allowed to cover a longtime span (1996-2020), periodic, and high-resolution data analysis Results indicated that along the CCA shoreline the accretion was dominated rather than the erosion. While on the eastern area showed more dynamic changes rather than the western area, especially at Losari, Pangenan, and Lemahwungkuk sub-districts. © 2021 Coastal Education Research Foundation Inc.. All rights reserved.
ISSN
0749-0208
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/42142
DOI
10.2112/JCR-SI114-090.1
Bibliographic Citation
Journal of Coastal Research, v.114, no.sp1, pp.444 - 448, 2021
Publisher
Coastal Education Research Foundation Inc.
Keywords
Google Earth; Landsat; remote sensing; Shoreline changes
Type
Article
Language
English
Document Type
Article
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