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Examining the several vegetation indices values to estimate carbon stock at the mining reclamation area of PT. Adaro Indonesia, South Kalimantan

Journal of Degraded and Mining Lands Management · Vol. 13 No. 1 (2026) · hlm. 9427–9442

DOI
10.15243/jdmlm.2026.131.9427
ISSN
2502-2458, 2339-076X
Terbit
2026-01-01
Penerbit
Brawijaya University
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

Revegetation of coal mine reclamation areas contributes to environmental improvement by sequestering carbon through vegetation. This study aimed to estimate carbon stocks in reclaimed and post-mining areas of PT Adaro Indonesia using various vegetation indices to assess the areas' contribution to carbon sequestration and identify the most effective estimation method. Six vegetation indices—NDVI, RVI, SAVI, GNDVI, RDVI, and IPVI—were derived from drone-based multispectral imagery and combined with field sampling for enhanced accuracy. Carbon stock was calculated based on biomass, which correlates with tree size and other observable carbon pools. The results showed that, although the Tutupan site had lower vegetation diversity, it stored more carbon than the Paringin site. Among the indices tested, NDVI produced the most robust estimation model, demonstrating a high correlation and low standard error, indicating its strong predictive model for assessing carbon stocks in reclaimed mining lands.

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25 penulis · 68 tautan kepenulisan bersama · 11 lintas organisasi

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  • Lambung Mangkurat University
  • National Research and Innovation Agency
  • University of Indonesia
  • Ministry of Environment and Forestry, Republic of Indonesia
  • Universitas Indonesia Maju
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
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Rekan penulisOrganisasiArtikel bersama
Ihsan NoorLambung Mangkurat University3
Eko SuhartonoLambung Mangkurat University3
Muthia ElmaLambung Mangkurat University3
Rony RiduanLambung Mangkurat University3
Mohamad IqbalNational Research and Innovation Agency1
Mutia Herni NingrumNational Research and Innovation Agency1
Aulia Nur LaksmitaNational Research and Innovation Agency1
Said FahmiNational Research and Innovation Agency1
Safinah Surya HakimMinistry of Environment and Forestry, Republic of Indonesia1
Wawan HalwanyNational Research and Innovation Agency1
Indri Hapsari SusilowatiUniversity of Indonesia1
Robiana ModjoUniversity of Indonesia1
Desy SulistiyoriniUniversitas Indonesia Maju1
Eko RizkiantoUniversity of Indonesia1
Bambang Joko PriatmadiLambung Mangkurat University1
Akhmad Rizalli SaidyLambung Mangkurat University1
Suhernomo SuhernomoLambung Mangkurat University1
Luthfi FatahLambung Mangkurat University1

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Sumber metadata: OAI-PMH (metadata jurnal) http://jdmlm.ub.ac.id/index.php/jdmlm/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">Examining the several vegetation indices values to estimate carbon stock at the mining reclamation area of PT. Adaro Indonesia, South Kalimantan </dc:title>
	<dc:creator>Rachmanadi, Dony</dc:creator>
	<dc:creator>Nugraha, Luthfan Meilana</dc:creator>
	<dc:creator>Choiron, Dodik</dc:creator>
	<dc:creator>Riadhah, Mekka</dc:creator>
	<dc:creator>Husin, Rusdi</dc:creator>
	<dc:creator>Triwibowo, Didik</dc:creator>
	<dc:creator>Ajiddinnor, Ajiddinnor</dc:creator>
	<dc:subject xml:lang="en-US">biomass </dc:subject>
	<dc:subject xml:lang="en-US">coal-mining </dc:subject>
	<dc:subject xml:lang="en-US">emission</dc:subject>
	<dc:subject xml:lang="en-US">remote-sensing </dc:subject>
	<dc:subject xml:lang="en-US">revegetation</dc:subject>
	<dc:description xml:lang="en-US">Revegetation of coal mine reclamation areas contributes to environmental improvement by sequestering carbon through vegetation. This study aimed to estimate carbon stocks in reclaimed and post-mining areas of PT Adaro Indonesia using various vegetation indices to assess the areas' contribution to carbon sequestration and identify the most effective estimation method. Six vegetation indices—NDVI, RVI, SAVI, GNDVI, RDVI, and IPVI—were derived from drone-based multispectral imagery and combined with field sampling for enhanced accuracy. Carbon stock was calculated based on biomass, which correlates with tree size and other observable carbon pools. The results showed that, although the Tutupan site had lower vegetation diversity, it stored more carbon than the Paringin site. Among the indices tested, NDVI produced the most robust estimation model, demonstrating a high correlation and low standard error, indicating its strong predictive model for assessing carbon stocks in reclaimed mining lands.</dc:description>
	<dc:publisher xml:lang="en-US">Brawijaya University</dc:publisher>
	<dc:date>2026-01-01</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:identifier>https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/17448</dc:identifier>
	<dc:identifier>10.15243/jdmlm.2026.131.9427</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Degraded and Mining Lands Management; Vol. 13 No. 1 (2026); 9427-9442</dc:source>
	<dc:source>2502-2458</dc:source>
	<dc:source>2339-076X</dc:source>
	<dc:source>10.15243/jdmlm.2026.131</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/17448/1875</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 Journal of Degraded and Mining Lands Management</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>