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Profile of Sentinel 2 Vegetation Index as Impact of Forest Change: Case Study Enrekang Regency 2019 – 2024 Periods

Jurnal Hutan dan Masyarakat · Vol. UME No. 2 (2025) · pp. 117–131

DOI
10.24259/jhm.v17i2.48920
ISSN
2613-9979, 1907-5316
Published
2025-12-31
Publisher
Fakultas Kehutanan, Universitas Hasanuddin
Language
en
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Land cover change is one of the key factors influencing environmental quality and ecosystem dynamics, especially in areas experiencing pressure from land use and the growth of anthropogenic activities. The Indonesian Government’s commitment to reducing greenhouse gas emissions from the land-use sector by national FOLU Net Sink 2030. This study was conducted to provide a quantitative of the vegetation indices as a response to forest cover dynamic. The study showed that the SAVI and NDVI are able to describe the change of forest to other vegetated land cover. Meanwhile, EVI index only sensitive to the change of forest to settlement area. It could be concluded that monitoring of forest change could be done by utilizing vegetation indices from Sentinel 2 satellite imagery. However, it is also necessary to pay attention to variables such as weather data, pioneer vegetation on the shrub or bareland area, as well as band processing of satellite imagery that could affect the sensitivity of vegetation indices to land cover changes in an area.

Keywords

Collaboration network of the authors

40 authors · 152 co-authorship links · showing the 40 most connected

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  • Universitas Sembilanbelas November Kolaka
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Chairil AAffiliation unknown5
Syamsuddin MillangAffiliation unknown3
Nasri NasriAffiliation unknown3
Abdur Rahman ArifAffiliation unknown2
Try ArdiansyahAffiliation unknown2
Samuel A. PaembonanAffiliation unknown2
Leny RachmawatiAffiliation unknown2
Andang Suryana SomaAffiliation unknown2
A. MujetahidAffiliation unknown2
Muhammad Buce SalehAffiliation unknown1
Teddy RusolonoAffiliation unknown1
Risye DwiyaniAffiliation unknown1
Lady ChaniaAffiliation unknown1
Ida Bagus Oka AgastyaAffiliation unknown1
Dian Adhetya Arif ArifAffiliation unknown1
Aulia NurfadillaAffiliation unknown1
Andi vika FaradibaAffiliation unknown1
Budirman BachtiarAffiliation unknown1
Budi ArtyAffiliation unknown1
Supratman SupratmanUniversitas Sembilanbelas November Kolaka1
Yusran YusranAffiliation unknown1
Andi SadapottoAffiliation unknown1
Muhammad Alif K SahideAffiliation unknown1
Emban Ibnurusyd Mas'udAffiliation unknown1
Nurhady SirimorokAffiliation unknown1
Haudec HerrawanAffiliation unknown1
Fatwa FaturachmatAffiliation unknown1
SITI HALIMAH LAREKENGAffiliation unknown1
Andi Siady HamzahAffiliation unknown1
Andi Subhan MustariAffiliation unknown1
Aris Prio AmbodoAffiliation 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://journal.unhas.ac.id/index.php/jhm/oai, first harvested 4 Nov 2026, last seen 4 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Profile of Sentinel 2 Vegetation Index as Impact of Forest Change: Case Study Enrekang Regency 2019 – 2024 Periods</dc:title>
	<dc:creator xml:lang="en">Rijal, Syamsu</dc:creator>
	<dc:creator xml:lang="en">Nursaputra, Munajat</dc:creator>
	<dc:creator xml:lang="en">Ahmad, Afandi</dc:creator>
	<dc:creator xml:lang="en">Chairil</dc:creator>
	<dc:creator xml:lang="en">Sinaga, Revalina Theresia</dc:creator>
	<dc:creator xml:lang="en">Kasang, Helen Natalia</dc:creator>
	<dc:creator xml:lang="en">Tangdilintin, Yulanda Angel</dc:creator>
	<dc:creator xml:lang="en">Natsir, Anugrahandini</dc:creator>
	<dc:creator xml:lang="en">Basri, Nurul Muchlisah</dc:creator>
	<dc:subject xml:lang="en">FOLU Net Sink</dc:subject>
	<dc:subject xml:lang="en">Enrekang Regency</dc:subject>
	<dc:subject xml:lang="en">vegetation index</dc:subject>
	<dc:subject xml:lang="en">land cover change</dc:subject>
	<dc:description xml:lang="en">Land cover change is one of the key factors influencing environmental quality and ecosystem dynamics, especially in areas experiencing pressure from land use and the growth of anthropogenic activities. The Indonesian Government’s commitment to reducing greenhouse gas emissions from the land-use sector by national FOLU Net Sink 2030. This study was conducted to provide a quantitative of the vegetation indices as a response to forest cover dynamic. The study showed that the SAVI and NDVI are able to describe the change of forest to other vegetated land cover. Meanwhile, EVI index only sensitive to the change of forest to settlement area. It could be concluded that monitoring of forest change could be done by utilizing vegetation indices from Sentinel 2 satellite imagery. However, it is also necessary to pay attention to variables such as weather data, pioneer vegetation on the shrub or bareland area, as well as band processing of satellite imagery that could affect the sensitivity of vegetation indices to land cover changes in an area.</dc:description>
	<dc:publisher xml:lang="en">Fakultas Kehutanan, Universitas Hasanuddin</dc:publisher>
	<dc:date>2025-12-31</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">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/jhm/article/view/48920</dc:identifier>
	<dc:identifier>10.24259/jhm.v17i2.48920</dc:identifier>
	<dc:source xml:lang="en">Jurnal Hutan dan Masyarakat; VOLUME 17 NO 2, DESEMBER 2025; 117-131</dc:source>
	<dc:source>2613-9979</dc:source>
	<dc:source>1907-5316</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/jhm/article/view/48920/14213</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Syamsu Rijal, Munajat Nursaputra, Afandi Ahmad, Chairil, Revalina Theresia Sinaga, Helen Natalia Kasang, Yulanda Angel Tangdilintin, Anugrahandini Natsir, Nurul Muchlisah Basri</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>