Physical assessment of coastal vulnerability under enhanced land subsidence in Semarang,Indonesia, using multi-sensor satellite data |
| |
Authors: | A. Besse Rimba Takahiro Osawa I Nyoman Sudi Parwata Abd. Rahman As-syakur Faizal Kasim Ida Ayu Astarini |
| |
Affiliation: | 1. Center for Remote Sensing and Ocean Sciences (CReSOS), Udayana University, PB Sudirman Street, Denpasar, Bali 80232, Indonesia;2. Graduate School of Science and Technology for Innovation, Yamaguchi University, 2-16-1 Tokiwadai, Ube 755-8611, Japan;3. Marine Science Department, Faculty of Marine and Fisheries, Udayana University, Bukit Jimbaran, Bali 80361, Indonesia;4. Department of Aquatic Resources Management, Gorontalo State University, Jambura Campus, Gorontalo 96128, Indonesia;5. Biology Department, Faculty of Mathematics and Natural Sciences, Udayana University, Bukit Jimbaran, Bali 80361, Indonesia;6. Center for Research and Application of Satellite Remote Sensing(CRAS), Yamaguchi University, 2-6-1 Tokiwadai Ube, Yamaguchi 7558611, Japan;g. Regional Satellite Applications Center for Disaster Management (RSCD), Japan Aerospace Exploration Agency (JAXA), 4-1-1 Industrial Technology Institute Asutopia, Ube, Yamaguchi 7550195, Japan |
| |
Abstract: | Research has been conducted in Semarang, Indonesia, to assess coastal vulnerability under enhanced land subsidence using multi-sensor satellite data, including the Advanced Land Observing Satellite (ALOS) Phased Array type L-band SAR (PALSAR), Landsat TM, IKONOS, and TOPEX/Poseidon. A coastal vulnerability index (CVI) was constructed to estimate the level of vulnerability of a coastline approximately 48.68?km in length using seven physical variables, namely, land subsidence, relative sea level change, coastal geomorphology, coastal slope, shoreline change, mean tidal range, and significant wave height. A comparison was also performed between a CVI calculated using seven parameters and a CVI using six parameters, the latter of which excludes the land subsidence parameter, to determine the effects of land subsidence during the coastal vulnerability assessment. This study showed that the accuracy of coastal vulnerability was increased 40% by adding the land subsidence factor (i.e., CVI 6 parameters?=?53%, CVI 7 parameters?=?93%). Moreover, Kappa coefficient indicated very good agreement (0.90) for CVI 7 parameters and fair agreement (0.3) for CVI 6 parameters. The results indicate that the area of very high vulnerability increased by 7% when land subsidence was added. Hence, using the CVI calculation including land subsidence parameters, the very high vulnerability area is determined to be 20% of the total coastline or 9.7?km of the total 48.7?km of coastline. This study proved that land subsidence has significant influence on coastal vulnerability in Semarang. |
| |
Keywords: | CVI Semarang Land subsidence Remote sensing |
本文献已被 ScienceDirect 等数据库收录! |
|