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SEBARAN STOK KARBON VEGETASI MANGROVE DI WILAYAH PESISIR KECAMATAN LAINEA KABUPATEN KONAWE SELATAN MELALUI ANALISIS BACKSCATTER CITRA SATELIT RADAR ALOS PALSAR L-BAND

Jurnal Ecogreen · Vol. 2 No. 2 (2017) · pp. 97–105

ISSN
2407-9049
Published
2017-10-01
Publisher
Universitas Haluoleo
Language
eng

Abstract

This study has been carried out to know the carbon stock distribution of Mangrove, to validate ALOS PALSAR backscattering coefficient with aboveground biomass (AGB) and to know the best polarization to estimate mangrove carbon stock distribution at Coastal zone of Lainea District of South Konawe. This study was conducted from December 2015 to June 2016 at coastal zone of Lainea sub district of South Konawe. Above ground biomass was estimate by allometric equation and ALOS PALSAR Dual Polarization HH-HV analysis. The relationship between two variables then analyzed mathematically by regression to see how strong the relationship between two variables. The criteria used by coefficient of determination R2 and Root Mean Square Error (RMSE). The result of total carbon stock in sample plot is 71,97 ton ha-1 with total biomass is 153.13 ton ha-1. For determination, coefficient HV is higher than HH with coefficient of determination R2 is 84% and for RMSE value HV is lower than HH with 1,38 than 2,01. So, for mapping carbon stock distribution worth using HV backscatter polarization. Map of carbon stocks distribution classified by three class distribution are 0-25 ton ha-1 for low carbon stock marked by blue color, 26-50 ton ha-1 for medium carbon marked by yellow color and 51-75 ton ha-1 for high carbon marked by red color. Based on the value of R2 and RMSE, we conclude that the utilizing of ALOS PALSAR HV with equation y= 0.254HV - 18.93 polarization satellite imagery worthy used for estimating and mapping of carbon stock distribution of mangrove forest in Lainea Sub District, South Konawe Keywords: ALOS PALSAR, Mangrove Forests, Carbon Stock, Validation

Collaboration network of the authors

40 authors · 148 co-authorship links · showing the 40 most connected

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  • Universitas Halu Oleo
  • Syarif Hidayatullah State Islamic University Jakarta
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Nurhayati HadjarUniversitas Halu Oleo3
Umar Ode HasaniAffiliation unknown3
Albasri AlbasriUniversitas Halu Oleo3
Niken PujirahayuUniversitas Halu Oleo2
Nurnaningsih HamzahUniversitas Halu Oleo2
Abigael KabeUniversitas Halu Oleo2
Rosmarlinasiah RosmarlinasiahUniversitas Halu Oleo2
Safril KasimUniversitas Halu Oleo2
Dewi fitrianiAffiliation unknown2
Davik DavikAffiliation unknown2
Halili HaliliUniversitas Halu Oleo2
La Ode AlwiUniversitas Halu Oleo2
Kahirun KahirunUniversitas Halu Oleo2
La BacoAffiliation unknown2
Ahmad SofyanSyarif Hidayatullah State Islamic University Jakarta1
Sadarman SadarmanAffiliation unknown1
Anuraga JayanegaraAffiliation unknown1
Novia QomariyahAffiliation unknown1
Tri Rachmanto PrihambodoAffiliation unknown1
Erika Budiarti LaconiAffiliation unknown1
Muhammad Andra AuliantoUniversitas Halu Oleo1
Zakiah UslinawatyUniversitas Halu Oleo1
Mustika SariUniversitas Halu Oleo1
Sahindomi BanaUniversitas Halu Oleo1
Agus SetiawanUniversitas Halu Oleo1
Aminuddin Mane KandariUniversitas Halu Oleo1
La Ode Agus Salim MandoUniversitas Halu Oleo1
Nur ArafahUniversitas Halu Oleo1
Lade AhmaliunUniversitas Halu Oleo1
Muhusana MuhusanaUniversitas Halu Oleo1
Lies IndriyaniAffiliation unknown1
Sahindomi BanaAffiliation unknown1
Laode DiaraAffiliation unknown1
La Ode AlimuddinAffiliation unknown1
Abdur RazakAffiliation unknown1
Gusman AgusalimAffiliation unknown1
La Baco La BacoAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs.uho.ac.id/index.php/green/oai, first harvested 30 Okt 2026, last seen 1 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">SEBARAN STOK KARBON VEGETASI MANGROVE DI WILAYAH PESISIR KECAMATAN LAINEA KABUPATEN KONAWE SELATAN MELALUI ANALISIS BACKSCATTER CITRA SATELIT RADAR ALOS PALSAR L-BAND</dc:title>
	<dc:creator>Zulkarnain, Zulkarnain</dc:creator>
	<dc:creator>Marwah, Sitti</dc:creator>
	<dc:creator>Sartika, Lia</dc:creator>
	<dc:description xml:lang="en-US">This study has been carried out to know  the carbon stock distribution of Mangrove, to validate ALOS PALSAR backscattering coefficient with aboveground biomass (AGB)  and to know the best polarization to estimate mangrove  carbon stock distribution  at Coastal zone of Lainea District of South Konawe. This study was conducted from December 2015 to June 2016 at coastal zone of Lainea sub district of  South Konawe. Above ground biomass was estimate by allometric equation and ALOS PALSAR Dual Polarization HH-HV analysis. The relationship between  two variables then analyzed mathematically by regression to see how strong the relationship between two variables. The criteria used by coefficient of determination R2 and Root Mean Square Error (RMSE). The result of total carbon stock in sample plot  is 71,97 ton ha-1 with  total biomass  is 153.13 ton ha-1. For determination, coefficient HV is higher than HH with coefficient of determination R2  is 84% and for RMSE value HV is lower than HH with 1,38 than 2,01. So, for mapping carbon stock distribution worth using HV backscatter polarization. Map of carbon stocks distribution classified by three class distribution are 0-25 ton ha-1 for low carbon stock marked by blue color, 26-50 ton ha-1 for medium carbon marked by yellow color and 51-75 ton ha-1 for high carbon marked by red color.  Based on the value of R2 and RMSE, we conclude that the utilizing of ALOS PALSAR HV with equation y= 0.254HV - 18.93  polarization satellite imagery worthy used for estimating and mapping of carbon stock distribution of mangrove forest in Lainea Sub District, South Konawe Keywords : ALOS PALSAR, Mangrove Forests, Carbon Stock, Validation</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Haluoleo</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2017-10-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs.uho.ac.id/index.php/green/article/view/2769</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ecogreen; Vol 2, No 2 (2016); 97 - 105</dc:source>
	<dc:source>2407-9049</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/green/article/view/2769/2066</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 Jurnal Ecogreen</dc:rights>
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