Classification of Mangrove Vegetation Structure using Airborne LiDAR in Ratai Bay, Lampung Province, Indonesia
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 d...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Diponegoro University
2023-12-01
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| Series: | Geoplanning: Journal of Geomatics and Planning |
| Subjects: | |
| Online Access: | https://ejournal.undip.ac.id/index.php/geoplanning/article/view/53210 |
| _version_ | 1797367547460321280 |
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| author | Muhammad Sufwandika Wijaya Muhammad Kamal Prima Widayani Sanjiwana Arjasakusuma |
| author_facet | Muhammad Sufwandika Wijaya Muhammad Kamal Prima Widayani Sanjiwana Arjasakusuma |
| author_sort | Muhammad Sufwandika Wijaya |
| collection | DOAJ |
| description | 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%. |
| first_indexed | 2024-03-08T17:18:54Z |
| format | Article |
| id | doaj.art-77d8cfdeea82423badc401a5f08694d4 |
| institution | Directory Open Access Journal |
| issn | 2355-6544 |
| language | English |
| last_indexed | 2024-03-08T17:18:54Z |
| publishDate | 2023-12-01 |
| publisher | Diponegoro University |
| record_format | Article |
| series | Geoplanning: Journal of Geomatics and Planning |
| spelling | doaj.art-77d8cfdeea82423badc401a5f08694d42024-01-03T08:46:00ZengDiponegoro UniversityGeoplanning: Journal of Geomatics and Planning2355-65442023-12-0110212313410.14710/geoplanning.10.2.123-13423170Classification of Mangrove Vegetation Structure using Airborne LiDAR in Ratai Bay, Lampung Province, IndonesiaMuhammad Sufwandika Wijaya0https://orcid.org/0009-0000-8202-8952Muhammad Kamal1https://orcid.org/0000-0003-4004-086XPrima Widayani2https://orcid.org/0000-0003-0891-2074Sanjiwana Arjasakusuma3https://orcid.org/0000-0003-3107-6123Badan Informasi Geospasial, Bogor, Indonesia, IndonesiaFaculty of Geography, Universitas Gadjah Mada, IndonesiaFaculty of Geography, Universitas Gadjah Mada, IndonesiaFaculty of Geography, Universitas Gadjah Mada, IndonesiaMapping 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%.https://ejournal.undip.ac.id/index.php/geoplanning/article/view/53210lidarmangrovesvegetation structure |
| spellingShingle | Muhammad Sufwandika Wijaya Muhammad Kamal Prima Widayani Sanjiwana Arjasakusuma Classification of Mangrove Vegetation Structure using Airborne LiDAR in Ratai Bay, Lampung Province, Indonesia Geoplanning: Journal of Geomatics and Planning lidar mangroves vegetation structure |
| title | Classification of Mangrove Vegetation Structure using Airborne LiDAR in Ratai Bay, Lampung Province, Indonesia |
| title_full | Classification of Mangrove Vegetation Structure using Airborne LiDAR in Ratai Bay, Lampung Province, Indonesia |
| title_fullStr | Classification of Mangrove Vegetation Structure using Airborne LiDAR in Ratai Bay, Lampung Province, Indonesia |
| title_full_unstemmed | Classification of Mangrove Vegetation Structure using Airborne LiDAR in Ratai Bay, Lampung Province, Indonesia |
| title_short | Classification of Mangrove Vegetation Structure using Airborne LiDAR in Ratai Bay, Lampung Province, Indonesia |
| title_sort | classification of mangrove vegetation structure using airborne lidar in ratai bay lampung province indonesia |
| topic | lidar mangroves vegetation structure |
| url | https://ejournal.undip.ac.id/index.php/geoplanning/article/view/53210 |
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