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Classification of Mangrove Vegetation Structure using Airborne LiDAR in Ratai Bay, Lampung Province, Indonesia

Geoplanning: Journal of Geomatics and Planning · Vol. 10 No. 2 (2023) · hlm. 123–134

DOI
10.14710/geoplanning.10.2.123-134
ISSN
2355-6544
Terbit
2023-12-28
Penerbit
Department of Urban and Regional Planning, Diponegoro University
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc-sa/4.0

Abstrak

Mapping and inventory of the distribution and composition of mangrove vegetation structures are crucial in managing mangrove ecosystems. The availability of airborne LiDAR remote sensing technology provides capability of mapping vegetation structures in three dimensions. It provides an alternative data source for mapping and inventory of the distribution of mangrove ecosystems. This study aims to test the ability of airborne LiDAR data to classify mangrove vegetation structures conducted in Ratai Bay, Pesawaran District, Lampung Province. The classification system applied integrates structure attributes of lifeforms, canopy height, and canopy cover percentage. Airborne LiDAR data are derived into canopy height models (CHM) and canopy cover percentage models, then grouped by examining statistics and the zonation distribution of mangroves in the study area. The results of this study show that airborne LiDAR data are able to map vegetation structures accurately. The canopy height model derived using a pit-free algorithm can represent the maximum tree height with an error range of 3.17 meters and 82.3-88.6% accuracy. On the other hand, the canopy cover percentage model using LiDAR Fraction Cover (LFC) tends to be overestimate, with an error range of 16.6% and an accuracy of 79.6-94.7%. Meanwhile, the classification results of vegetation structures show an overall accuracy of 77%.

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  • Universitas Gadjah Mada
  • Muhammadiyah University of Yogyakarta
  • Universitas Esa Unggul
  • Ministry of Marine Affairs and Fisheries
  • Center for International Forestry Research
  • Diamond Harbour Women's University
  • Afiliasi tidak diketahui
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Rekan penulisOrganisasiArtikel bersama
Projo DanoedoroUniversitas Gadjah Mada4
Nur Mohammad FardaUniversitas Gadjah Mada2
Hartono HartonoUniversitas Gadjah Mada2
Pramaditya WicaksonoUniversitas Gadjah Mada2
Novi Susetyo AdiMinistry of Marine Affairs and Fisheries2
I Kade Alfian Kusuma WirayudaUniversitas Gadjah Mada1
Andung Bayu SekaranomUniversitas Gadjah Mada1
Hartono HartonoUniversitas Gadjah Mada1
Barano Ss MeterayAfiliasi tidak diketahui1
Sudaryatno SudaryatnoUniversitas Gadjah Mada1
Bagus WiratmokoUniversitas Gadjah Mada1
Totok Wahyu WibowoUniversitas Gadjah Mada1
Wahyu NurbandiUniversitas Gadjah Mada1
Sigit HerumurtiAfiliasi tidak diketahui1
Prama Ardha AryagunaUniversitas Esa Unggul1
Yanuar Adji NugrohoUniversitas Gadjah Mada1
Nguyễn Thanh HùngAfiliasi tidak diketahui1
Hoàng Công TríAfiliasi tidak diketahui1
Uji Astrono PribadiCenter for International Forestry Research1
Gilang Aria SetaAfiliasi tidak diketahui1
Totok GunawanUniversitas Gadjah Mada1
Sugeng Juwono MardihusodoUniversitas Gadjah Mada1
Abimanyu Putra PratamaUniversitas Gadjah Mada1
Intan LestariUniversitas Gadjah Mada1
Mulyanto MUniversitas Gadjah Mada1
Kusbaryanto KusbaryantoMuhammadiyah University of Yogyakarta1
Tri Wulandari KesetyaningsihMuhammadiyah University of Yogyakarta1
Achmad FadilahUniversitas Gadjah Mada1
Irfan Zaki IrawanUniversitas Gadjah Mada1
Kapil GhoshDiamond Harbour Women's University1
Yusri KhoirurrizqiUniversitas Gadjah Mada1
Rohmad SasongkoUniversitas Gadjah Mada1
Nur Laila Eka UtamiUniversitas Gadjah Mada1
Amanda IrbahUniversitas Gadjah Mada1
Erny PoedjirahajoeUniversitas Gadjah Mada1
Frita Kusuma WardhaniUniversitas Gadjah Mada1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ejournal.undip.ac.id/index.php/geoplanning/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Classification of Mangrove Vegetation Structure using Airborne LiDAR in Ratai Bay, Lampung Province, Indonesia</dc:title>
	<dc:creator>Wijaya, Muhammad Sufwandika</dc:creator>
	<dc:creator>Kamal, Muhammad</dc:creator>
	<dc:creator>Widayani, Prima</dc:creator>
	<dc:creator>Arjasakusuma, Sanjiwana</dc:creator>
	<dc:subject xml:lang="en-US">LIDAR; mangroves; vegetation structure</dc:subject>
	<dc:description xml:lang="en-US">Mapping and inventory of the distribution and composition of mangrove vegetation structures are crucial in managing mangrove ecosystems. The availability of airborne LiDAR remote sensing technology provides capability of mapping vegetation structures in three dimensions. It provides an alternative data source for mapping and inventory of the distribution of mangrove ecosystems. This study aims to test the ability of airborne LiDAR data to classify mangrove vegetation structures conducted in Ratai Bay, Pesawaran District, Lampung Province. The classification system applied integrates structure attributes of lifeforms, canopy height, and canopy cover percentage. Airborne LiDAR data are derived into canopy height models (CHM) and canopy cover percentage models, then grouped by examining statistics and the zonation distribution of mangroves in the study area. The results of this study show that airborne LiDAR data are able to map vegetation structures accurately. The canopy height model derived using a pit-free algorithm can represent the maximum tree height with an error range of 3.17 meters and 82.3-88.6% accuracy. On the other hand, the canopy cover percentage model using LiDAR Fraction Cover (LFC) tends to be overestimate, with an error range of 16.6% and an accuracy of 79.6-94.7%. Meanwhile, the classification results of vegetation structures show an overall accuracy of 77%.</dc:description>
	<dc:publisher xml:lang="en-US">Department of Urban and Regional Planning, Diponegoro University</dc:publisher>
	<dc:date>2023-12-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ejournal.undip.ac.id/index.php/geoplanning/article/view/53210</dc:identifier>
	<dc:identifier>10.14710/geoplanning.10.2.123-134</dc:identifier>
	<dc:source xml:lang="en-US">Geoplanning: Journal of Geomatics and Planning; Vol 10, No 2 (2023); 123-134</dc:source>
	<dc:source>2355-6544</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ejournal.undip.ac.id/index.php/geoplanning/article/view/53210/pdf_1</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 GJGP-UNDIP</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
</oai_dc:dc>