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ASSESSMENT OF MANGROVE FOREST DEGRADATION THROUGH CANOPY FRACTIONAL COVER IN KARIMUNJAWA ISLAND, CENTRAL JAVA, INDONESIA

Geoplanning: Journal of Geomatics and Planning · Vol. 3 No. 2 (2016) · hlm. 107–116

DOI
10.14710/geoplanning.3.2.107-116
ISSN
2355-6544
Terbit
2016-10-25
Penerbit
Department of Urban and Regional Planning, Diponegoro University
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc-sa/4.0

Abstrak

The Karimunjawa Islands mangrove forest has been subjected to various direct and indirect human disturbances in the recent years. If not properly managed, this disturbance will lead to the degradation of mangrove habitat health. Assessing forest canopy fractional cover (fc) using remote sensing data is one way of measuring mangrove forest degradation. This study aims to (1) estimate the forest canopy fc using a semi-empirical method, (2) assess the accuracy of the fc estimation and (3) create mangrove forest degradation from the canopy fc results. A sample set of in-situ fc was collected using the hemispherical camera for model development and accuracy assessment purposes. We developed semi-empirical relationship models between pixel values of ALOS AVNIR-2 image (10 m pixel size) and field fc, using Enhanced Vegetation Index (EVI) as a proxy of the image spectral response. The results show that the EVI provides reasonable estimation accuracy of mangrove canopy fc in Karimunjawa Island with the values ranged from 0.17 to 0.96 (n = 69). The low fc values correspond to vegetation opening and gaps caused by human activities or mangrove dieback. The high fc values correspond to the healthy and dense mangrove stands, especially the Rhizophora sp formation at the seafront. The results of this research justify the use of simple canopy fractional cover model for assessing the mangrove forest degradation status in the study area. Further research is needed to test the applicability of this approach at different sites.

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  • Universitas Gadjah Mada
  • National Research and Innovation Agency
  • University of Indonesia
  • IPB University
  • Ministry of Marine Affairs and Fisheries
  • Indonesian National Institute of Aeronautics and Space
  • University of Bengkulu
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Rekan penulisOrganisasiArtikel bersama
Projo DanoedoroUniversitas Gadjah Mada7
Prima WidayaniUniversitas Gadjah Mada2
Muhammad Sufwandika WijayaUniversitas Gadjah Mada2
Bambang SulistyoUniversity of Bengkulu1
Totok GunawanUniversitas Gadjah Mada1
Rochmat MartantoUniversitas Gadjah Mada1
Nur Mohammad FardaUniversitas Gadjah Mada1
Hartono HartonoUniversitas Gadjah Mada1
Barano Ss MeterayAfiliasi tidak diketahui1
Nursida ArifUniversitas Muhammadiyah Gorontalo1
Aisya Jaya DhannahisvaraUniversitas Gadjah Mada1
Hartono HarjoUniversitas Gadjah Mada1
Ferman Setia NugrohoIndonesian National Institute of Aeronautics and Space1
Sigit HerumurtiAfiliasi tidak diketahui1
Prama Ardha AryagunaUniversitas Esa Unggul1
Yanuar Adji NugrohoUniversitas Gadjah Mada1
Arief WicaksonoUniversitas Gadjah Mada1
Faza AdhimahUniversitas Gadjah Mada1
A. A. Md. Ananda Putra SuardanaNational Research and Innovation Agency1
Gathot WinarsoNational Research and Innovation Agency1
Masita Dwi Mandini ManessaUniversity of Indonesia1
Kuncoro Teguh SetiawanNational Research and Innovation Agency1
Mohammad Syamsu RosidUniversity of Indonesia1
Takahiro OsawaYamaguchi University1
Wikanti AsriningrumIndonesian National Institute of Aeronautics and Space1
Agustinus Harsono SupardjoUniversity of Indonesia1
Afdal AfdalUniversitas Negeri Padang1
Alan Frendy KoropitanIPB University1
Dietriech Geoffrey BengenIPB University1
A’an Johan WahyudiIndonesian Institute of Sciences1
Rastina RastinaIPB University1
Anna Ida Sunaryo PurwiyantoSriwijaya University1
Hanif Budi PrayitnoNational Research and Innovation Agency1
Faisal HamzahMinistry of Marine Affairs and Fisheries1
Yulianto SutejaUdayana University1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ejournal.undip.ac.id/index.php/geoplanning/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en-US">ASSESSMENT OF MANGROVE FOREST DEGRADATION THROUGH CANOPY FRACTIONAL COVER IN KARIMUNJAWA ISLAND, CENTRAL JAVA, INDONESIA</dc:title>
	<dc:creator>Kamal, Muhammad</dc:creator>
	<dc:creator>Hartono, Hartono</dc:creator>
	<dc:creator>Wicaksono, Pramaditya</dc:creator>
	<dc:creator>Adi, Novi Susetyo</dc:creator>
	<dc:creator>Arjasakusuma, Sanjiwana</dc:creator>
	<dc:subject xml:lang="en-US">mangroves; degradation; canopy fractional cover; ALOS AVNIR-2; EVI</dc:subject>
	<dc:description xml:lang="en-US">The Karimunjawa Islands mangrove forest has been subjected to various direct and indirect human disturbances in the recent years. If not properly managed, this disturbance will lead to the degradation of mangrove habitat health. Assessing forest canopy fractional cover (fc) using remote sensing data is one way of measuring mangrove forest degradation. This study aims to (1) estimate the forest canopy fc using a semi-empirical method, (2) assess the accuracy of the fc estimation and (3) create mangrove forest degradation from the canopy fc results. A sample set of in-situ fc was collected using the hemispherical camera for model development and accuracy assessment purposes. We developed semi-empirical relationship models between pixel values of ALOS AVNIR-2 image (10 m pixel size) and field fc, using Enhanced Vegetation Index (EVI) as a proxy of the image spectral response. The results show that the EVI provides reasonable estimation accuracy of mangrove canopy fc in Karimunjawa Island with the values ranged from 0.17 to 0.96 (n = 69). The low fc values correspond to vegetation opening and gaps caused by human activities or mangrove dieback. The high fc values correspond to the healthy and dense mangrove stands, especially the Rhizophora sp formation at the seafront. The results of this research justify the use of simple canopy fractional cover model for assessing the mangrove forest degradation status in the study area. Further research is needed to test the applicability of this approach at different sites.</dc:description>
	<dc:publisher xml:lang="en-US">Department of Urban and Regional Planning, Diponegoro University</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2016-10-25</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ejournal.undip.ac.id/index.php/geoplanning/article/view/11884</dc:identifier>
	<dc:identifier>10.14710/geoplanning.3.2.107-116</dc:identifier>
	<dc:source xml:lang="en-US">Geoplanning: Journal of Geomatics and Planning; Vol 3, No 2 (2016); 107-116</dc:source>
	<dc:source>2355-6544</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ejournal.undip.ac.id/index.php/geoplanning/article/view/11884/Kamal_et_al.</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2016 Geoplanning: Journal of Geomatics and Planning</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
</oai_dc:dc>