Enhancing Performance Production Forest Inventory in Java Using LiDAR Technology
Forest inventory (FI) is an essential process for assessing the quality and quantity of forest resources, forming the foundation for strategic planning and sustainable management. Terrestrial methods (sampling / census), remote sensing methods, or a combination of these can be used to obtain this d...
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| Format: | Article |
| Language: | English |
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Bogor Agricultural University
2025-02-01
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| Series: | Journal of Natural Resources and Environmental Management |
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| Online Access: | https://journal.ipb.ac.id/index.php/jpsl/article/view/51934 |
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| author | Rachmat Pudjo Hartanto Cecep Kusmana Naresworo Nugroho |
| author_facet | Rachmat Pudjo Hartanto Cecep Kusmana Naresworo Nugroho |
| author_sort | Rachmat Pudjo Hartanto |
| collection | DOAJ |
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Forest inventory (FI) is an essential process for assessing the quality and quantity of forest resources, forming the foundation for strategic planning and sustainable management. Terrestrial methods (sampling / census), remote sensing methods, or a combination of these can be used to obtain this data and information. This study explores the application of LiDAR technology to improve forest inventory practices in plantation forests (teak and pine) in Java, Indonesia. LiDAR sensors, deployed via drones and handheld devices, were tested in several Perum Perhutani Forest Management Unit compartments, which were the locations of proof of concept (PoC). PoC is a testing process to prove the feasibility of a concept or methodology before it is implemented. The results showed that LiDAR-based inventories provide superior accuracy compared to traditional methods, with data showing strong alignment with ground-truth measurements. These results underscore the potential of LiDAR technology to revolutionize FI practices and inform sustainable forest management strategies in Java and beyond. The use of this technology in natural forests where the variety of tree species is more diverse certainly requires further study.
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| format | Article |
| id | doaj-art-11ce1d5939534d8d97a3f85cdf61ab28 |
| institution | DOAJ |
| issn | 2086-4639 2460-5824 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Bogor Agricultural University |
| record_format | Article |
| series | Journal of Natural Resources and Environmental Management |
| spelling | doaj-art-11ce1d5939534d8d97a3f85cdf61ab282025-08-20T02:45:38ZengBogor Agricultural UniversityJournal of Natural Resources and Environmental Management2086-46392460-58242025-02-01152Enhancing Performance Production Forest Inventory in Java Using LiDAR TechnologyRachmat Pudjo Hartanto0Cecep Kusmana1Naresworo Nugroho2Engineer Profession Education of Graduate School, IPB University, IPB Dramaga Campus, Bogor, 16680, IndonesiaDepartment of Silviculture, Faculty of Forestry and Environment, IPB University, IPB Dramaga Campus, Bogor, 16680, IndonesiaDepartment of Forest Product, Faculty of Forestry and Environment, IPB University, IPB Dramaga Campus, Bogor, 16680, Indonesia Forest inventory (FI) is an essential process for assessing the quality and quantity of forest resources, forming the foundation for strategic planning and sustainable management. Terrestrial methods (sampling / census), remote sensing methods, or a combination of these can be used to obtain this data and information. This study explores the application of LiDAR technology to improve forest inventory practices in plantation forests (teak and pine) in Java, Indonesia. LiDAR sensors, deployed via drones and handheld devices, were tested in several Perum Perhutani Forest Management Unit compartments, which were the locations of proof of concept (PoC). PoC is a testing process to prove the feasibility of a concept or methodology before it is implemented. The results showed that LiDAR-based inventories provide superior accuracy compared to traditional methods, with data showing strong alignment with ground-truth measurements. These results underscore the potential of LiDAR technology to revolutionize FI practices and inform sustainable forest management strategies in Java and beyond. The use of this technology in natural forests where the variety of tree species is more diverse certainly requires further study. https://journal.ipb.ac.id/index.php/jpsl/article/view/51934Forest, Resorces, Inventory, Technology, LiDAR |
| spellingShingle | Rachmat Pudjo Hartanto Cecep Kusmana Naresworo Nugroho Enhancing Performance Production Forest Inventory in Java Using LiDAR Technology Journal of Natural Resources and Environmental Management Forest, Resorces, Inventory, Technology, LiDAR |
| title | Enhancing Performance Production Forest Inventory in Java Using LiDAR Technology |
| title_full | Enhancing Performance Production Forest Inventory in Java Using LiDAR Technology |
| title_fullStr | Enhancing Performance Production Forest Inventory in Java Using LiDAR Technology |
| title_full_unstemmed | Enhancing Performance Production Forest Inventory in Java Using LiDAR Technology |
| title_short | Enhancing Performance Production Forest Inventory in Java Using LiDAR Technology |
| title_sort | enhancing performance production forest inventory in java using lidar technology |
| topic | Forest, Resorces, Inventory, Technology, LiDAR |
| url | https://journal.ipb.ac.id/index.php/jpsl/article/view/51934 |
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