Quantifying Coastal Vulnerability and the Protective Role of Mangrove Rehabilitation: A GIS–Remote Sensing Analysis From Mojo, Pemalang, Indonesia.
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| Title: | Quantifying Coastal Vulnerability and the Protective Role of Mangrove Rehabilitation: A GIS–Remote Sensing Analysis From Mojo, Pemalang, Indonesia. |
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| Authors: | Indarjo, Agus1 (AUTHOR), Maharani, Galung Dhiva1,2 (AUTHOR), Zainuri, Muhammad2,3 (AUTHOR) muhammadzainuri1962@gmail.com, Endrawati, Hadi1 (AUTHOR), Jihadi, Muhammad Shulhan1,2 (AUTHOR), Khasanah, Nisa Uswatun3 (AUTHOR), Anindita, Gisela Malya Asoka1 (AUTHOR), Zahra, Nadhifa Az3 (AUTHOR), Pribadi, Rudhi1 (AUTHOR), Redjeki, Sri1 (AUTHOR), Anti, Gheyhaliza3 (AUTHOR), Ismanto, Aris3 (AUTHOR) |
| Source: | Environmental Quality Management. Spring2026, Vol. 35 Issue 3, p1-10. 10p. |
| Subject Terms: | *Mangrove plants, *Floods, *Coastal zone management, Remote sensing, Geographic spatial analysis, Physiographic provinces, Remote-sensing images |
| Geographic Terms: | Indonesia, Jawa Tengah (Indonesia) |
| Abstract: | The coastal region of Pemalang, Central Java, is characterized by intensive anthropogenic activities such as fisheries, aquaculture, and settlements, which heighten its susceptibility to tidal flooding. This study quantifies the Coastal Vulnerability Index (CVI) along the Mojo coastline in Pemalang, Indonesia, using a weighted overlay approach integrating geomorphology, slope, elevation, land use (LU), distance from rivers (DfR), distance from the coastline (DfS), and tidal range (TR) parameters. Quantitative scoring and weighting were performed using a Geographic Information System (GIS) framework. The analysis employed Sentinel‐2A imagery acquired in December 2023, along with DEMNAS elevation and tidal observation data from 2023. Results reveal that medium vulnerability dominates the Pemalang coastline (47.86%), followed by low (26.32%), high (21.28%), not vulnerable (4.50%), and very high vulnerability (0.059%). Slope, geomorphology, and elevation were identified as the most influential parameters. Spatially, the northern tip exhibits the highest vulnerability due to strong ocean currents causing abrasion, despite extensive mangrove cover. This study represents the first spatially quantified CVI assessment conducted within the Mojo mangrove rehabilitation zone. The findings provide a scientific foundation for strengthening mangrove rehabilitation efforts and improving coastal flood mitigation strategies in Pemalang and highlight the importance of strengthening mangrove rehabilitation and regulating pond expansion to reduce long‐term vulnerability along the northern coast of Indonesia. [ABSTRACT FROM AUTHOR] |
| Copyright of Environmental Quality Management is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | GreenFILE |
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| Items | – Name: Title Label: Title Group: Ti Data: Quantifying Coastal Vulnerability and the Protective Role of Mangrove Rehabilitation: A GIS–Remote Sensing Analysis From Mojo, Pemalang, Indonesia. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Indarjo%2C+Agus%22">Indarjo, Agus</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Maharani%2C+Galung+Dhiva%22">Maharani, Galung Dhiva</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zainuri%2C+Muhammad%22">Zainuri, Muhammad</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<i> muhammadzainuri1962@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Endrawati%2C+Hadi%22">Endrawati, Hadi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jihadi%2C+Muhammad+Shulhan%22">Jihadi, Muhammad Shulhan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Khasanah%2C+Nisa+Uswatun%22">Khasanah, Nisa Uswatun</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Anindita%2C+Gisela+Malya+Asoka%22">Anindita, Gisela Malya Asoka</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zahra%2C+Nadhifa+Az%22">Zahra, Nadhifa Az</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pribadi%2C+Rudhi%22">Pribadi, Rudhi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Redjeki%2C+Sri%22">Redjeki, Sri</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Anti%2C+Gheyhaliza%22">Anti, Gheyhaliza</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ismanto%2C+Aris%22">Ismanto, Aris</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Quality+Management%22">Environmental Quality Management</searchLink>. Spring2026, Vol. 35 Issue 3, p1-10. 10p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Mangrove+plants%22">Mangrove plants</searchLink><br />*<searchLink fieldCode="DE" term="%22Floods%22">Floods</searchLink><br />*<searchLink fieldCode="DE" term="%22Coastal+zone+management%22">Coastal zone management</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Geographic+spatial+analysis%22">Geographic spatial analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Physiographic+provinces%22">Physiographic provinces</searchLink><br /><searchLink fieldCode="DE" term="%22Remote-sensing+images%22">Remote-sensing images</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Indonesia%22">Indonesia</searchLink><br /><searchLink fieldCode="DE" term="%22Jawa+Tengah+%28Indonesia%29%22">Jawa Tengah (Indonesia)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The coastal region of Pemalang, Central Java, is characterized by intensive anthropogenic activities such as fisheries, aquaculture, and settlements, which heighten its susceptibility to tidal flooding. This study quantifies the Coastal Vulnerability Index (CVI) along the Mojo coastline in Pemalang, Indonesia, using a weighted overlay approach integrating geomorphology, slope, elevation, land use (LU), distance from rivers (DfR), distance from the coastline (DfS), and tidal range (TR) parameters. Quantitative scoring and weighting were performed using a Geographic Information System (GIS) framework. The analysis employed Sentinel‐2A imagery acquired in December 2023, along with DEMNAS elevation and tidal observation data from 2023. Results reveal that medium vulnerability dominates the Pemalang coastline (47.86%), followed by low (26.32%), high (21.28%), not vulnerable (4.50%), and very high vulnerability (0.059%). Slope, geomorphology, and elevation were identified as the most influential parameters. Spatially, the northern tip exhibits the highest vulnerability due to strong ocean currents causing abrasion, despite extensive mangrove cover. This study represents the first spatially quantified CVI assessment conducted within the Mojo mangrove rehabilitation zone. The findings provide a scientific foundation for strengthening mangrove rehabilitation efforts and improving coastal flood mitigation strategies in Pemalang and highlight the importance of strengthening mangrove rehabilitation and regulating pond expansion to reduce long‐term vulnerability along the northern coast of Indonesia. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Environmental Quality Management is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/tqem.70304 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Subjects: – SubjectFull: Mangrove plants Type: general – SubjectFull: Floods Type: general – SubjectFull: Coastal zone management Type: general – SubjectFull: Remote sensing Type: general – SubjectFull: Geographic spatial analysis Type: general – SubjectFull: Physiographic provinces Type: general – SubjectFull: Remote-sensing images Type: general – SubjectFull: Indonesia Type: general – SubjectFull: Jawa Tengah (Indonesia) Type: general Titles: – TitleFull: Quantifying Coastal Vulnerability and the Protective Role of Mangrove Rehabilitation: A GIS–Remote Sensing Analysis From Mojo, Pemalang, Indonesia. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Indarjo, Agus – PersonEntity: Name: NameFull: Maharani, Galung Dhiva – PersonEntity: Name: NameFull: Zainuri, Muhammad – PersonEntity: Name: NameFull: Endrawati, Hadi – PersonEntity: Name: NameFull: Jihadi, Muhammad Shulhan – PersonEntity: Name: NameFull: Khasanah, Nisa Uswatun – PersonEntity: Name: NameFull: Anindita, Gisela Malya Asoka – PersonEntity: Name: NameFull: Zahra, Nadhifa Az – PersonEntity: Name: NameFull: Pribadi, Rudhi – PersonEntity: Name: NameFull: Redjeki, Sri – PersonEntity: Name: NameFull: Anti, Gheyhaliza – PersonEntity: Name: NameFull: Ismanto, Aris IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Spring2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10881913 Numbering: – Type: volume Value: 35 – Type: issue Value: 3 Titles: – TitleFull: Environmental Quality Management Type: main |
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