Shoreline Dynamics in East Java Province, Indonesia, from 2000 to 2019 Using Multi-Sensor Remote Sensing Data
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. Howev...
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MDPI AG
2021-01-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/10/2/100 |
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| author | Sanjiwana Arjasakusuma Sandiaga Swahyu Kusuma Siti Saringatin Pramaditya Wicaksono Bachtiar Wahyu Mutaqin Raihan Rafif |
| author_facet | Sanjiwana Arjasakusuma Sandiaga Swahyu Kusuma Siti Saringatin Pramaditya Wicaksono Bachtiar Wahyu Mutaqin Raihan Rafif |
| author_sort | Sanjiwana Arjasakusuma |
| collection | DOAJ |
| description | 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. |
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| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-09T03:57:13Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
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| series | Land |
| spelling | doaj.art-1dfb56cd92b3440e9d1b8c1d9330c5e12023-12-03T14:17:51ZengMDPI AGLand2073-445X2021-01-0110210010.3390/land10020100Shoreline Dynamics in East Java Province, Indonesia, from 2000 to 2019 Using Multi-Sensor Remote Sensing DataSanjiwana Arjasakusuma0Sandiaga Swahyu Kusuma1Siti Saringatin2Pramaditya Wicaksono3Bachtiar Wahyu Mutaqin4Raihan Rafif5Department of Geographic Information Science, Faculty of Geography, Gadjah Mada University, Bulaksumur, Yogyakarta 55281, IndonesiaDepartment of Geographic Information Science, Faculty of Geography, Gadjah Mada University, Bulaksumur, Yogyakarta 55281, IndonesiaDepartment of Geographic Information Science, Faculty of Geography, Gadjah Mada University, Bulaksumur, Yogyakarta 55281, IndonesiaDepartment of Geographic Information Science, Faculty of Geography, Gadjah Mada University, Bulaksumur, Yogyakarta 55281, IndonesiaDepartment of Environmental Geography, Faculty of Geography, Gadjah Mada University, Bulaksumur, Yogyakarta 55281, IndonesiaDepartment of Geographic Information Science, Faculty of Geography, Gadjah Mada University, Bulaksumur, Yogyakarta 55281, IndonesiaCoastal 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.https://www.mdpi.com/2073-445X/10/2/100remote sensingmaximum entropyLandsatALOS PalsarSentinel-1Google Earth Engine |
| spellingShingle | Sanjiwana Arjasakusuma Sandiaga Swahyu Kusuma Siti Saringatin Pramaditya Wicaksono Bachtiar Wahyu Mutaqin Raihan Rafif Shoreline Dynamics in East Java Province, Indonesia, from 2000 to 2019 Using Multi-Sensor Remote Sensing Data Land remote sensing maximum entropy Landsat ALOS Palsar Sentinel-1 Google Earth Engine |
| title | Shoreline Dynamics in East Java Province, Indonesia, from 2000 to 2019 Using Multi-Sensor Remote Sensing Data |
| title_full | Shoreline Dynamics in East Java Province, Indonesia, from 2000 to 2019 Using Multi-Sensor Remote Sensing Data |
| title_fullStr | Shoreline Dynamics in East Java Province, Indonesia, from 2000 to 2019 Using Multi-Sensor Remote Sensing Data |
| title_full_unstemmed | Shoreline Dynamics in East Java Province, Indonesia, from 2000 to 2019 Using Multi-Sensor Remote Sensing Data |
| title_short | Shoreline Dynamics in East Java Province, Indonesia, from 2000 to 2019 Using Multi-Sensor Remote Sensing Data |
| title_sort | shoreline dynamics in east java province indonesia from 2000 to 2019 using multi sensor remote sensing data |
| topic | remote sensing maximum entropy Landsat ALOS Palsar Sentinel-1 Google Earth Engine |
| url | https://www.mdpi.com/2073-445X/10/2/100 |
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