Melola Discovery

← Melola Discovery

Journal

Evaluating Forest and Land Rehabilitation Using Remote Sensing: A Case Study in Maros Regency

Jurnal Penelitian Kehutanan Wallacea · Vol. 14 No. 1 (2025) · pp. 35–44

DOI
10.24259/jpkwallacea.v14i1.36726
ISSN
2407-7860, 2302-299X
Published
2025-05-16
Publisher
Foresty Faculty of Hasanuddin University
Language
en

Abstract

Remote sensing technology has become crucial in vegetation monitoring, particularly for assessing vegetation density. Despite its broad application, its use in evaluating land rehabilitation efforts remains limited. The increasing extent of degraded lands has underscored the importance of effective forest and land rehabilitation activities. Traditionally, evaluating these efforts involves direct site visits to monitor plant growth annually for three years post-planting, which is time-consuming, labor-intensive, and costly. According to rehabilitation standards, a program is successful if 75% of the planted vegetation survives until the end of the third year. This study presents an efficient alternative by evaluating a rehabilitation site in Maros Regency, using remote sensing technology to monitor planting success over periods of 15 years (2007), nine years (2013), and three years (2019). The evaluation utilizes multispectral drone imagery and Normalized Difference Vegetation Index (NDVI) analysis to assess vegetation density through multi-temporal analysis across wide areas. The findings reveal that the percentage of forested areas after three, nine, and fifteen years of rehabilitation activities was 24.6%, 3.1%, and 23.5%, respectively. This research demonstrates the potential for further application of Unmanned Aerial Vehicle imagery in monitoring the success of land rehabilitation projects.

Keywords

Collaboration network of the authors

31 authors · 126 co-authorship links · 13 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Hasanuddin University
  • Ministry of Environment and Forestry, Republic of Indonesia
  • Ehime University
  • Universitas Negeri Padang
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Syamsuddin MillangHasanuddin University3
Nasri NasriHasanuddin University3
Abdur Rahman ArifHasanuddin University2
Leny RachmawatiMinistry of Environment and Forestry, Republic of Indonesia2
S A PaembonanHasanuddin University2
Andang Suryana SomaHasanuddin University2
A MujetahidHasanuddin University2
Risye DwiyaniAffiliation unknown1
Lady ChaniaEhime University1
Ida Bagus Oka AgastyaAffiliation unknown1
Dian Adhetya ArifUniversitas Negeri Padang1
Andi Vika Faradiba MuinHasanuddin University1
Syamsu RijalHasanuddin University1
Try ArdiansyahHasanuddin University1
Muhammad Alif K. SahideHasanuddin University1
Fatwa FaturachmatHasanuddin University1
Andi SadapottoHasanuddin University1
Emban Ibnurusyd Mas’udHasanuddin University1
Supratman SupratmanHasanuddin University1
Yusran YusranHasanuddin University1
Nurhady SirimorokHasanuddin University1
Haudec HerrawanHasanuddin University1
Siti Halimah LarekengHasanuddin University1
Andi Siady HamzahHasanuddin University1
Andi Subhan MustariHasanuddin University1
Aris Prio AmbodoAffiliation unknown1
Yohan LawangAffiliation unknown1
Andri Noor ArdiansyahAffiliation 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/wallacea/oai, first harvested 2 Nov 2026, last seen 8 Nov 2026.
Original metadata (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">Evaluating Forest and Land Rehabilitation Using Remote Sensing: A Case Study in Maros Regency</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">A, Chairil</dc:creator>
	<dc:subject xml:lang="en">Forest Rehabilitation</dc:subject>
	<dc:subject xml:lang="en">Remote Sensing</dc:subject>
	<dc:subject xml:lang="en">Vegetation Monitoring</dc:subject>
	<dc:subject xml:lang="en">NDVI Analysis</dc:subject>
	<dc:subject xml:lang="en">Unmanned Aerial Vehicles (UAVs)</dc:subject>
	<dc:description xml:lang="en">Remote sensing technology has become crucial in vegetation monitoring, particularly for assessing vegetation density. Despite its broad application, its use in evaluating land rehabilitation efforts remains limited. The increasing extent of degraded lands has underscored the importance of effective forest and land rehabilitation activities. Traditionally, evaluating these efforts involves direct site visits to monitor plant growth annually for three years post-planting, which is time-consuming, labor-intensive, and costly. According to rehabilitation standards, a program is successful if 75% of the planted vegetation survives until the end of the third year. This study presents an efficient alternative by evaluating a rehabilitation site in Maros Regency, using remote sensing technology to monitor planting success over periods of 15 years (2007), nine years (2013), and three years (2019). The evaluation utilizes multispectral drone imagery and Normalized Difference Vegetation Index (NDVI) analysis to assess vegetation density through multi-temporal analysis across wide areas. The findings reveal that the percentage of forested areas after three, nine, and fifteen years of rehabilitation activities was 24.6%, 3.1%, and 23.5%, respectively. This research demonstrates the potential for further application of Unmanned Aerial Vehicle imagery in monitoring the success of land rehabilitation projects.</dc:description>
	<dc:publisher xml:lang="en">Foresty Faculty of Hasanuddin University</dc:publisher>
	<dc:date>2025-05-16</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://journal.unhas.ac.id/index.php/wallacea/article/view/36726</dc:identifier>
	<dc:identifier>10.24259/jpkwallacea.v14i1.36726</dc:identifier>
	<dc:source xml:lang="en">Jurnal Penelitian Kehutanan Wallacea; Vol. 14 No. 1 (2025); 35-44</dc:source>
	<dc:source>2407-7860</dc:source>
	<dc:source>2302-299X</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/wallacea/article/view/36726/12819</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Jurnal Penelitian Kehutanan Wallacea</dc:rights>
</oai_dc:dc>