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Enhancing the estimation accuracy of above-ground carbon storage in Eucalyptus urophylla plantation on Timor Island, Indonesia, through higher spatial-resolution satellite imagery

Journal of Degraded and Mining Lands Management · Vol. 11 No. 3 (2024) · hlm. 5623–5634

DOI
10.15243/jdmlm.2024.113.5623
ISSN
2502-2458, 2339-076X
Terbit
2024-04-01
Penerbit
Brawijaya University
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

Eucalyptus urophylla plantation is an important contributor to carbon storage in climate change mitigation, established due to a land rehabilitation program in the semi-arid ecosystem in Timor Island. To ensure an accurate estimate of the above-ground carbon storage of these plantations, it is important to continuously combine ground measurement with remote sensing technology. Therefore, this study aimed to compare the above-ground carbon storage estimation of two very high spatial resolution images, namely Pleiades-1B 2021 and Pléiades Neo 2022 with pixel sizes of 2 x 2 m and 1.2 x 1.2 m, respectively. The normalized difference vegetation index was employed to identify the eucalyptus trees and classify the density into low, moderate, and high. The results showed that Pléiades Neo imagery provided superior eucalyptus tree identification to Pleiades-1B imagery and was more accurate in estimating above-ground carbon storage. However, there is a trade-off between increasing this accuracy and incurring a higher cost to achieve the highest spatial resolution image.

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  • Universitas Gadjah Mada
  • Universitas Merdeka Madiun
  • National Research and Innovation Agency
  • University of Göttingen
  • East–West Center
  • Universitas Papua
  • Ministry of Environment and Forestry, Republic of Indonesia
  • Organisasi lain
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Rekan penulisOrganisasiArtikel bersama
Pandu Yudha Adi Putra WirabuanaUniversitas Gadjah Mada8
Fahmi IdrisUniversitas Gadjah Mada4
Djoko MarsonoUniversitas Gadjah Mada2
Wahyu WardhanaUniversitas Gadjah Mada2
LianaAfiliasi tidak diketahui2
Harsanto MursyidRiau University2
Djoko SoeprijadiAfiliasi tidak diketahui1
DewantoAfiliasi tidak diketahui1
Erny PoedjirahajoeUniversitas Gadjah Mada1
Herawikan MandiriatiAfiliasi tidak diketahui1
Priyono SuryantoUniversitas Gadjah Mada1
Mohamad SiarudinAfiliasi tidak diketahui1
San Afri AwangUniversitas Gadjah Mada1
Lukas GiessenAfiliasi tidak diketahui1
Micah R. FisherEast–West Center1
Ahmad MaryudiUniversitas Gadjah Mada1
Dwi LaraswatiUniversitas Gadjah Mada1
Sari RahayuNational Research and Innovation Agency1
Max KrottUniversity of Göttingen1
Suwarno HadisusantoUniversitas Gadjah Mada1
Agustinus MurdjokoUniversitas Papua1
Rahmanta SetiahadiUniversitas Merdeka Madiun1
Djoko Setyo MartonoUniversitas Merdeka Madiun1
Martin LukitoUniversitas Merdeka Madiun1
Hartono HartonoUniversitas Gadjah Mada1
Mochammad Maksum MachfoedzMinistry of Environment and Forestry, Republic of Indonesia1
Setiaji SetiajiAfiliasi tidak diketahui1
Ryke NandiniNational Research and Innovation Agency1
Totok GunawanUniversitas Gadjah Mada1
Ambar KusumandariUniversitas Gadjah Mada1
S JuniarsoAfiliasi tidak diketahui1
Wahyu WardhanaUniversitas Gadjah Mada1
Wahyu WardanaUniversitas Gadjah Mada1
Adhe Viana Yulida PutriUniversitas Gadjah Mada1
Daris Fahmaa SutataUniversitas Gadjah Mada1
Wahyu WilopoUniversitas Gadjah Mada1
Kamran KhanUniversitas Gadjah Mada1
Much. Taufik Tri HermawanUniversitas Gadjah Mada1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

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) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Enhancing the estimation accuracy of above-ground carbon storage in Eucalyptus urophylla plantation on Timor Island, Indonesia, through higher spatial-resolution satellite imagery </dc:title>
	<dc:creator>Sadono, Ronggo</dc:creator>
	<dc:creator>Soraya, Emma</dc:creator>
	<dc:subject xml:lang="en-US">detailed object detection</dc:subject>
	<dc:subject xml:lang="en-US">Eucalyptus tree density</dc:subject>
	<dc:subject xml:lang="en-US">Pléiades imagery</dc:subject>
	<dc:subject xml:lang="en-US">remote sensing technology </dc:subject>
	<dc:subject xml:lang="en-US">very high spatial resolution</dc:subject>
	<dc:description xml:lang="en-US">Eucalyptus urophylla plantation is an important contributor to carbon storage in climate change mitigation, established due to a land rehabilitation program in the semi-arid ecosystem in Timor Island. To ensure an accurate estimate of the above-ground carbon storage of these plantations, it is important to continuously combine ground measurement with remote sensing technology. Therefore, this study aimed to compare the above-ground carbon storage estimation of two very high spatial resolution images, namely Pleiades-1B 2021 and Pléiades Neo 2022 with pixel sizes of 2 x 2 m and 1.2 x 1.2 m, respectively. The normalized difference vegetation index was employed to identify the eucalyptus trees and classify the density into low, moderate, and high. The results showed that Pléiades Neo imagery provided superior eucalyptus tree identification to Pleiades-1B imagery and was more accurate in estimating above-ground carbon storage. However, there is a trade-off between increasing this accuracy and incurring a higher cost to achieve the highest spatial resolution image. </dc:description>
	<dc:publisher xml:lang="en-US">Brawijaya University</dc:publisher>
	<dc:date>2024-04-01</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/16381</dc:identifier>
	<dc:identifier>10.15243/jdmlm.2024.113.5623</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Degraded and Mining Lands Management; Vol. 11 No. 3 (2024); 5623-5634</dc:source>
	<dc:source>2502-2458</dc:source>
	<dc:source>2339-076X</dc:source>
	<dc:source>10.15243/jdmlm.2024.113</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/16381/986</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 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>