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INCREASING ACCURACY VALUE IN THE ESTIMATES OF CARBON STOCK BY USING VEGETATION INDEX FROM ALOS AVNIR 2 SATELLITE IMAGERY

Geoplanning: Journal of Geomatics and Planning · Vol. 3 No. 1 (2016) · hlm. 1–14

DOI
10.14710/geoplanning.3.1.1-14
ISSN
2355-6544
Terbit
2016-04-30
Penerbit
Department of Urban and Regional Planning, Diponegoro University
Bahasa
eng

Abstrak

The existence of carbon stock began to be noticed by the public, especially after the global warming phenomenon, because one of the causes of global warming is the increasing amount of carbon in the atmosphere. There are several approaches that can be used to calculate carbon stocks, one of which is through remote sensing. In the study of carbon stocks in Meru Betiri National Park Indonesia, the vegetation index from ALOS-AVNIR satellite imagery is used to estimate carbon reserves by finding an exact equation. If it uses the Modified Soil Adjusted Vegetation Index (MSAVI) only, the correlation value is 0.49. Meanwhile, if Infrared Percentage Vegetation Index (IPVI) is used, the correlation value is 0.47. However, if some vegetation indices such as Soil-Adjusted Vegetation Index (SAVI), Normalize Difference Vegetation Index (NDVI) and Ratio Vegetation Index (RVI) are combined, the correlation value of the equation is 0.63. The comparison showed that by combining several variables of vegetation indices will increase the value of the correlation equation significantly.

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  • Bandung Institute of Technology
  • National Research and Innovation Agency
  • Lampung University
  • Udayana University
  • Indonesian National Institute of Aeronautics and Space
  • Bandung Islamic University
  • Andalas University
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Rekan penulisOrganisasiArtikel bersama
Tri Muji SusantoroNational Research and Innovation Agency9
Deni SuwardhiBandung Institute of Technology7
Asep SaepulohBandung Institute of Technology5
Fenny Martha DwivanyBandung Institute of Technology4
Rian NurtyawanBandung Institute of Technology4
Riantini VirtrianaBandung Institute of Technology4
Mochamad Firman GhazaliLampung University3
I Wayan NuarsaUdayana University3
Shafarina Wahyu TrisyantiBandung Institute of Technology3
Sukristiyanti SukristiyantiBandung Institute of Technology3
Sayidah SulmaIndonesian National Institute of Aeronautics and Space3
Suliantara SuliantaraNational Research and Innovation Agency3
Herru Lastiadi SetiawanNational Research and Innovation Agency3
Adis JayatiNational Research and Innovation Agency3
Kurdianto KurdiantoNational Research and Innovation Agency3
I NyomanUdayana University2
Agus SutantoAndalas University2
Husna NugrahaprajaBandung Institute of Technology2
Anggun TridawatiBandung Institute of Technology2
Akihiko KondohChiba University2
Prila Ayu Dwi PrastiwiBandung Institute of Technology2
Ishak Hanafiah IsmullahBandung Institute of Technology2
Mamad SugandiLampung University1
Aqilla Fitdhea AnestaLampung University1
Laode M Golok JayaAfiliasi tidak diketahui1
Armi SusandiBandung Institute of Technology1
Katmoko Ari SambodoIndonesian National Institute of Aeronautics and Space1
M. Angga Hadi PratamaAfiliasi tidak diketahui1
Hasan Adi NugrahaBandung Institute of Technology1
Anjar Dimara SaktiBandung Institute of Technology1
Muhammad Alsamtu Tita Sabila Pratama SuhartonoAkita University1
I Nyoman DibiaUdayana University1
Akhmad RiqqiBandung Institute of Technology1
Dini Aprilia NorvyaniBandung Institute of Technology1
Sitarani SafitriBandung Institute of Technology1

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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">INCREASING ACCURACY VALUE IN THE ESTIMATES OF CARBON STOCK BY USING VEGETATION INDEX FROM ALOS AVNIR 2 SATELLITE IMAGERY</dc:title>
	<dc:creator>Fardani, Irland</dc:creator>
	<dc:creator>Darmawan, Soni</dc:creator>
	<dc:creator>Hakim, Dudung M</dc:creator>
	<dc:creator>Harto, Agung Budi</dc:creator>
	<dc:creator>Wikantika, Ketut</dc:creator>
	<dc:subject xml:lang="en-US">Accuracy Value; Carbon Stock; Vegetation Index; ALOS AVNIR; Meru Betiri</dc:subject>
	<dc:description xml:lang="en-US">The existence of carbon stock began to be noticed by the public, especially after the global warming phenomenon, because one of the causes of global warming is the increasing amount of carbon in the atmosphere. There are several approaches that can be used to calculate carbon stocks, one of which is through remote sensing. In the study of carbon stocks in Meru Betiri National Park Indonesia, the vegetation index from ALOS-AVNIR satellite imagery is used to estimate carbon reserves by finding an exact equation. If it uses the Modified Soil Adjusted Vegetation Index (MSAVI) only, the correlation value is 0.49. Meanwhile, if Infrared Percentage Vegetation Index (IPVI) is used, the correlation value is 0.47. However, if some vegetation indices such as Soil-Adjusted Vegetation Index (SAVI), Normalize Difference Vegetation Index (NDVI) and Ratio Vegetation Index (RVI) are combined, the correlation value of the equation is 0.63. The comparison showed that by combining several variables of vegetation indices will increase the value of the correlation equation significantly.</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>2016-04-30</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"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ejournal.undip.ac.id/index.php/geoplanning/article/view/11202</dc:identifier>
	<dc:identifier>10.14710/geoplanning.3.1.1-14</dc:identifier>
	<dc:source xml:lang="en-US">Geoplanning: Journal of Geomatics and Planning; Vol 3, No 1 (2016); 1-14</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/11202/I_Fardani_INCREASING%20ACCURACY%20VALUE%20IN%20THE%20ESTIMATES%20OF%20CARBON%20STOCK%20BY%20USING%20VEGETATION%20INDEX%20FROM%20ALOS%20AVNIR%202%20SATELLITE%20IMAGERY</dc:relation>
</oai_dc:dc>