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Carbon Sink Estimation of Mangrove Vegetation Using Remote Sensing in Segara Anakan, Cilacap

Jurnal Ilmiah Perikanan dan Kelautan · Vol. 14 No. 1 (2022) · hlm. 130–141

DOI
10.20473/jipk.v14i1.31789
ISSN
2528-0759, 2085-5842
Terbit
2022-02-27
Penerbit
Faculty of Fisheries and Marine Universitas Airlangga
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc-sa/4.0

Abstrak

Highlight ResearchThe value of Leaf Area Index (LAI) and Normalized Different Vegetation Index (NDVI) have a strong relationship.Estimated mangrove leaf biomass and carbon stock in mangrove can be known through the Leaf Area Index (LAI) value.Each mangrove pixel can absorb the different carbon.Increasing the diameter of the tree trunk shows the more CO2 absorbed by the tree.AbstractWorldwide global warming occurs because of increasing carbon dioxide (CO2) in the atmosphere. Segara Anakan, the largest mangrove forest in Java Island, has the highest potential as a carbon sink in the tropics. This study aimed to quantify the area and density of mangrove forests in Segara Anakan and to estimate their potentials as carbon sink based on Sentinel-2A imagery. In this study, data from Sentinel 2A satellite imagery was processed and validated with field survey results. The results showed that Segara Anakan had mangrove forests covering an area of 5,481.64 ha in 2019 with the sparse density covered 706.92 ha, medium density covered of 2,526.80 ha, and high density covered 2,848.60 ha. The results of mangrove density were validated using Table Confusion Matrix and using correlation coefficient value (r) by comparing field measurement and Normalized Difference Vegetation Index (NDVI) algorithm. The accuracy for mangrove density was 86.92% with r-value 0.85. Mangrove in Segara Anakan has the ability to absorb 8.56 Mega gram of carbon per hectare. Segara Anakan mangroves have the potential to absorb high level of carbon, so we should maintain their sustainability.

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  • Jenderal Soedirman University
  • Diponegoro University
  • Hasanuddin University
  • Université Sultan Moulay Slimane
  • Ministry of Marine Affairs and Fisheries
  • Politeknik Negeri Batam
  • University of Bremen
  • Organisasi berbeda
  • Organisasi sama
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Rekan penulisOrganisasiArtikel bersama
Iqbal Ali HusniJenderal Soedirman University2
Hartoyo HartoyoJenderal Soedirman University1
Hafsarizka AkbariJenderal Soedirman University1
Amron AmronJenderal Soedirman University1
Norman Arie PrayogoJenderal Soedirman University1
Purnama SukardiJenderal Soedirman University1
Taufan HarisamJenderal Soedirman University1
Florencius Eko Dwi HaryonoJenderal Soedirman University1
Bintang MarhaeniJenderal Soedirman University1
Abdul HarisHasanuddin University1
El Mountassir El MouchtariUniversité Sultan Moulay Slimane1
Winarni NurshofiaJenderal Soedirman University1
Yogi PutrantoMinistry of Marine Affairs and Fisheries1
Hendrayana HendrayanaJenderal Soedirman University1
Arif MahdianaJenderal Soedirman University1
Isdy SulistyoJenderal Soedirman University1
Nuning Vita HidayatiJenderal Soedirman University1
Muhammad Zainuddin LubisPoliteknik Negeri Batam1
Isnaini PrihatiningsihJenderal Soedirman University1
Amir Yarkhasy YuliardiJenderal Soedirman University1
Sentana Wahyu SaputraJenderal Soedirman University1
Ferdy Gustian UtamaUniversity of Bremen1
Muhammad HelmiDiponegoro University1
Rudhi PribadiDiponegoro University1

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Sumber metadata: OAI-PMH (metadata jurnal) https://e-journal.unair.ac.id/index.php/JIPK/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en-US">Carbon Sink Estimation of Mangrove Vegetation Using Remote Sensing in Segara Anakan, Cilacap</dc:title>
	<dc:creator>Aulia, Zahra Safira</dc:creator>
	<dc:creator>Hidayat, Rizqi Rizaldi</dc:creator>
	<dc:creator>Amron, Amron</dc:creator>
	<dc:subject xml:lang="en-US">Global Warming</dc:subject>
	<dc:subject xml:lang="en-US">Mangrove</dc:subject>
	<dc:subject xml:lang="en-US">Carbon Sink</dc:subject>
	<dc:subject xml:lang="en-US">Remote Sensing</dc:subject>
	<dc:description xml:lang="en-US">Highlight ResearchThe value of Leaf Area Index (LAI) and Normalized Different Vegetation Index (NDVI) have a strong relationship.Estimated mangrove leaf biomass and carbon stock in mangrove can be known through the Leaf Area Index (LAI) value.Each mangrove pixel can absorb the different carbon.Increasing the diameter of the tree trunk shows the more CO2 absorbed by the tree.AbstractWorldwide global warming occurs because of increasing carbon dioxide (CO2) in the atmosphere. Segara Anakan, the largest mangrove forest in Java Island, has the highest potential as a carbon sink in the tropics. This study aimed to quantify the area and density of mangrove forests in Segara Anakan and to estimate their potentials as carbon sink based on Sentinel-2A imagery. In this study, data from Sentinel 2A satellite imagery was processed and validated with field survey results. The results showed that Segara Anakan had mangrove forests covering an area of 5,481.64 ha in 2019 with the sparse density covered 706.92 ha, medium density covered of 2,526.80 ha, and high density covered 2,848.60 ha. The results of mangrove density were validated using Table Confusion Matrix and using correlation coefficient value (r) by comparing field measurement and Normalized Difference Vegetation Index (NDVI) algorithm. The accuracy for mangrove density was 86.92% with r-value 0.85. Mangrove in Segara Anakan has the ability to absorb 8.56 Mega gram of carbon per hectare. Segara Anakan mangroves have the potential to absorb high level of carbon, so we should maintain their sustainability.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Fisheries and Marine Universitas Airlangga</dc:publisher>
	<dc:date>2022-02-27</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:format>text/xml</dc:format>
	<dc:identifier>https://e-journal.unair.ac.id/JIPK/article/view/31789</dc:identifier>
	<dc:identifier>10.20473/jipk.v14i1.31789</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmiah Perikanan dan Kelautan; Vol. 14 No. 1 (2022): JURNAL ILMIAH PERIKANAN DAN KELAUTAN; 130-141</dc:source>
	<dc:source>2528-0759</dc:source>
	<dc:source>2085-5842</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/JIPK/article/view/31789/17179</dc:relation>
	<dc:relation>https://e-journal.unair.ac.id/JIPK/article/view/31789/40602</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Jurnal Ilmiah Perikanan dan Kelautan</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
</oai_dc:dc>