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Shoreline Dynamics in East Java Province, Indonesia, from 2000 to 2019 Using Multi-Sensor Remote Sensing Data

Author

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  • Sanjiwana Arjasakusuma

    (Department of Geographic Information Science, Faculty of Geography, Gadjah Mada University, Bulaksumur, Yogyakarta 55281, Indonesia)

  • Sandiaga Swahyu Kusuma

    (Department of Geographic Information Science, Faculty of Geography, Gadjah Mada University, Bulaksumur, Yogyakarta 55281, Indonesia)

  • Siti Saringatin

    (Department of Geographic Information Science, Faculty of Geography, Gadjah Mada University, Bulaksumur, Yogyakarta 55281, Indonesia)

  • Pramaditya Wicaksono

    (Department of Geographic Information Science, Faculty of Geography, Gadjah Mada University, Bulaksumur, Yogyakarta 55281, Indonesia)

  • Bachtiar Wahyu Mutaqin

    (Department of Environmental Geography, Faculty of Geography, Gadjah Mada University, Bulaksumur, Yogyakarta 55281, Indonesia)

  • Raihan Rafif

    (Department of Geographic Information Science, Faculty of Geography, Gadjah Mada University, Bulaksumur, Yogyakarta 55281, Indonesia)

Abstract

Coastal regions are one of the most vulnerable areas to the effects of global warming, which is accompanied by an increase in mean sea level and changing shoreline configurations. In Indonesia, the socioeconomic importance of coastal regions where the most populated cities are located is high. However, shoreline changes in Indonesia are relatively understudied. In particular, detailed monitoring with remote sensing data is lacking despite the abundance of datasets and the availability of easily accessible cloud computing platforms such as the Google Earth Engine that are able to perform multi-temporal and multi-sensor mapping. Our study aimed to assess shoreline changes in East Java Province Indonesia from 2000 to 2019 using variables derived from a multi-sensor combination of optical remote sensing data (Landsat-7 ETM and Landsat-8 OLI) and radar data (ALOS Palsar and Sentinel-1 data). Random forest and GMO maximum entropy (GMO-Maxent) accuracy was assessed for the classification of land and water, and the land polygons from the best algorithm were used for deriving shorelines. In addition, shoreline changes were quantified using Digital Shoreline Analysis System (DSAS). Our results showed that coastal accretion is more profound than coastal erosion in East Java Province with average rates of change of +4.12 (end point rate, EPR) and +4.26 m/year (weighted linear rate, WLR) from 2000 to 2019. In addition, some parts of the shorelines in the study area experienced massive changes, especially in the deltas of the Bengawan Solo and Brantas/Porong river with rates of change (EPR) between −87.44 to +89.65 and −18.98 to +111.75 m/year, respectively. In the study areas, coastal erosion happened mostly in the mangrove and aquaculture areas, while the accreted areas were used mostly as aquaculture and mangrove areas. The massive shoreline changes in this area require better monitoring to mitigate the potential risks of coastal erosion and to better manage coastal sedimentation.

Suggested Citation

  • Sanjiwana Arjasakusuma & Sandiaga Swahyu Kusuma & Siti Saringatin & Pramaditya Wicaksono & Bachtiar Wahyu Mutaqin & Raihan Rafif, 2021. "Shoreline Dynamics in East Java Province, Indonesia, from 2000 to 2019 Using Multi-Sensor Remote Sensing Data," Land, MDPI, vol. 10(2), pages 1-17, January.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:2:p:100-:d:485249
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    References listed on IDEAS

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    1. Stijn Temmerman & Patrick Meire & Tjeerd J. Bouma & Peter M. J. Herman & Tom Ysebaert & Huib J. De Vriend, 2013. "Ecosystem-based coastal defence in the face of global change," Nature, Nature, vol. 504(7478), pages 79-83, December.
    2. Ye, Guanqiong & Chou, Loke Ming & Yang, Shengyun & Wu, Jiaping & Liu, Pei & Jin, Changwei, 2015. "Is integrated coastal management an effective framework for promoting coastal sustainability in China’s coastal cities?," Marine Policy, Elsevier, vol. 56(C), pages 48-55.
    3. Ali Masria & Kazuo Nadaoka & Abdelazim Negm & Moheb Iskander, 2015. "Detection of Shoreline and Land Cover Changes around Rosetta Promontory, Egypt, Based on Remote Sensing Analysis," Land, MDPI, vol. 4(1), pages 1-15, March.
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    Cited by:

    1. Changda Liu & Jie Li & Qiuhua Tang & Jiawei Qi & Xinghua Zhou, 2022. "Classifying the Nunivak Island Coastline Using the Random Forest Integration of the Sentinel-2 and ICESat-2 Data," Land, MDPI, vol. 11(2), pages 1-15, February.
    2. Muh Aris Marfai & Ratih Winastuti & Arief Wicaksono & Bachtiar W. Mutaqin, 2022. "Coastal morphodynamic analysis in Buleleng Regency, Bali—Indonesia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 995-1017, March.

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