Melola Discovery

← Melola Discovery

Journal

Estimation Model of Site Quality of Teak (Tectona grandis) Using Very High-Resolution Imagery from Unmanned Aerial Vehicle in KPH Nganjuk

Jurnal Penelitian Kehutanan Wallacea · Vol. 5 No. 2 (2016) · pp. 185–194

DOI
10.18330/jwallacea.2016.vol5iss2pp185-194
ISSN
2407-7860, 2302-299X
Published
2016-08-30
Publisher
Foresty Faculty of Hasanuddin University
Language
en

Abstract

Site quality is one of the main information needed in forest stand management. Site quality classes need to be evaluated every certain period because the quality of forest stands may change as a result of management applied. This study describes the use of very high-resolution imagery derived from unmanned aerial vehicle (UAV) for estimating the site quality of teak (Tectona grandis). The UAV imagery used was taken from 400 m above datum (the average land surface elevation) with ground spatial resolution of 15 cm. Site quality estimation models was built using discriminant analysis. The study found that the best accuracy from discriminant function using multiple variables canopy density (C) and average of crown diameter (Dc ̅̅̅) is 60.9%.

Keywords

Collaboration network of the authors

40 authors · 78 co-authorship links · 4 across different organisations · showing the 40 most connected

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

  • Institut Teknologi Sepuluh Nopember
  • Indonesia University of Education
  • National Central University
  • Universitas Syiah Kuala
  • Universitas Sulawesi Tenggara
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Fauzi SalehAffiliation unknown3
Sofyan SjafAffiliation unknown2
Muhammad RizaldiAffiliation unknown2
Azwarfajri AzwarfajriAffiliation unknown2
Ahmad Sunawari LongAffiliation unknown2
Andi RahmanAffiliation unknown2
Cecep KusmanaAffiliation unknown2
Tuty ArisuryantiAffiliation unknown2
Chastine FatichahInstitut Teknologi Sepuluh Nopember1
Siti RochimahInstitut Teknologi Sepuluh Nopember1
Tri SuwandiIndonesia University of Education1
Saefudin SaefudinIndonesia University of Education1
NajiraAffiliation unknown1
Rahmat BaharudinAffiliation unknown1
Hening Triandika RachmanNational Central University1
Muji BurrahmadAffiliation unknown1
Edy MarsudiAffiliation unknown1
Muji BurrahmadUniversitas Syiah Kuala1
Edy MarsudiAffiliation unknown1
Lukman Nuzul HakimAffiliation unknown1
Saringatun MudrikahAffiliation unknown1
Muhammad SabandiAffiliation unknown1
Qatrunnada Hamparan MelatiAffiliation unknown1
Purnawan Dwikora NegaraAffiliation unknown1
Mahrus As'adAffiliation unknown1
Karman KarmanUniversitas Sulawesi Tenggara1
Rosihon AnwarAffiliation unknown1
Abdul KodirAffiliation unknown1
Muhd Zulhilmi HaronAffiliation unknown1
Abigail HusainAffiliation unknown1
Agus KristianAffiliation unknown1
Agung SupriyadiAffiliation unknown1
Rio Squire SeanAffiliation unknown1
Nanang IndardiAffiliation unknown1
Dhias Fajar Widya PermanaAffiliation 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">Estimation Model of Site Quality of Teak (Tectona grandis) Using Very High-Resolution Imagery from Unmanned Aerial Vehicle in KPH Nganjuk</dc:title>
	<dc:creator xml:lang="en">Kusnadi</dc:creator>
	<dc:creator xml:lang="en">Jaya, I Nengah Surati</dc:creator>
	<dc:creator xml:lang="en">Puspaningsih, Nining</dc:creator>
	<dc:creator xml:lang="en">Basuki,  Makin</dc:creator>
	<dc:creator xml:lang="en">Hakim, Lukman</dc:creator>
	<dc:subject xml:lang="en">UAV image</dc:subject>
	<dc:subject xml:lang="en">site quality</dc:subject>
	<dc:subject xml:lang="en">canopy density</dc:subject>
	<dc:subject xml:lang="en">teak (Tectona grandis)</dc:subject>
	<dc:description xml:lang="en">Site quality is one of the main information needed in forest stand management. Site quality classes need to be evaluated every certain period because the quality of forest stands may change as a result of management applied. This study describes the use of very high-resolution imagery derived from unmanned aerial vehicle (UAV) for estimating the site quality of teak (Tectona grandis). The UAV imagery used was taken from 400 m above datum (the average land surface elevation) with ground spatial resolution of 15 cm. Site quality estimation models was built using discriminant analysis. The study found that the best accuracy from discriminant function using multiple variables canopy density (C) and average of crown diameter (Dc ̅̅̅) is 60.9%.</dc:description>
	<dc:publisher xml:lang="en">Foresty Faculty of Hasanuddin University</dc:publisher>
	<dc:date>2016-08-30</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/26316</dc:identifier>
	<dc:identifier>10.18330/jwallacea.2016.vol5iss2pp185-194</dc:identifier>
	<dc:source xml:lang="en">Jurnal Penelitian Kehutanan Wallacea; Vol. 5 No. 2 (2016); 185-194</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/26316/9625</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2016 Jurnal Penelitian Kehutanan Wallacea</dc:rights>
</oai_dc:dc>