Valika, Efsa (2025) Pengembangan Data Terestrial Laser Scanner untuk Pengukuran Diameter Pohon dan Tinggi Pohon (Studi Kasus: Kebun Bibit Wonorejo, Surabaya). Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Hutan memiliki peran penting dalam menjaga keseimbangan ekosistem dan mendukung keberlanjutan sosial, ekonomi, dan lingkungan. Untuk mendukung pengelolaan hutan yang presisi, inventarisasi parameter struktural pohon seperti Diameter at Breast Height (DBH) dan tinggi pohon perlu dilakukan secara akurat dan efisien. Penelitian ini menganalisis karakteristik pohon di Kebun Bibit Wonorejo menggunakan data Terrestrial Laser Scanner (TLS) dengan metode pengukuran otomatis. Dua algoritma, yaitu Random Sample Consensus (RANSAC) pada FSCT dan Gauss-Newton pada 3DFIN, dibandingkan untuk estimasi DBH. Hasil menunjukkan bahwa RANSAC lebih tahan terhadap bentuk batang yang tidak beraturan dan noise, menghasilkan selisih DBH rata-rata 7,1%, sedangkan 3DFIN
menunjukkan presisi tinggi pada batang silindris dengan rata-rata selisih 9,1%. Tinggi pohon dihitung otomatis dan divalidasi melalui perbandingan cloud-tocloud dengan Total Station, menunjukkan korelasi kuat (R² = 0,889). Segmentasi
otomatis juga terbukti lebih efektif dibandingkan segmentasi manual karena lebih kompatibel dengan pipeline pengolahan data TLS. Namun, baik FSCT maupun 3DFIN menghadapi tantangan saat diterapkan di hutan tropis seperti Indonesia, terutama karena kepadatan vegetasi dan kompleksitas tajuk yang tinggi. Oleh karena itu, diperlukan modifikasi algoritma dan integrasi pendekatan multi-sudut untuk meningkatkan akurasi di lingkungan tropis. Penelitian ini merekomendasikan integrasi ketahanan RANSAC dan presisi Gauss-Newton, didukung oleh klasifikasi morfologi dan pemrosesan adaptif, guna mendorong sistem inventarisasi hutan otomatis yang lebih andal dan skalabel.
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Forests play a vital role in maintaining ecological balance and supporting sustainable social, economic, and environmental systems. Accurate and efficient tree inventory—particularly for structural parameters such as Diameter at Breast Height (DBH) and tree height—is essential for precise forest management. This study analyzes tree characteristics in Kebun Bibit Wonorejo using Terrestrial Laser Scanner (TLS) data and automated measurement methods. Two algorithms, Random Sample Consensus (RANSAC) implemented in FSCT and Gauss-Newton used in 3DFIN, were compared for DBH estimation. Results show that RANSAC performed better under irregular stem structures and noisy conditions, with an
average DBH deviation of 7.1%, while 3DFIN achieved high precision on cylindrical stems with a 9.1% average deviation. Tree height was estimated automatically and validated via cloud-to-cloud comparison with Total Station,
yielding strong correlation (R² = 0.889). Automatic segmentation outperformed manual segmentation due to better compatibility with TLS data pipelines. However, both FSCT and 3DFIN face limitations when applied to tropical forests such as those in Indonesia, due to dense canopy structures and undergrowth complexity. Algorithmic adjustments and integration of multi-angle approaches are needed to improve performance in such environments. This study recommends a hybrid framework that combines the robustness of RANSAC with the precision of Gauss-Newton, supported by adaptive processing and morphological classification, to enable scalable and reliable automated forest inventories.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Hutan, Karakteristik Pohon, TLS, RANSAC, Gauss-Newton, 3DFIN, FSCT =========================================================== Forest, Tree Characteristics, TLS, RANSAC, Gauss-Newton, 3DFIN, FSCT |
| Subjects: | S Agriculture > SD Forestry |
| Divisions: | Faculty of Civil, Environmental, and Geo Engineering > Geomatics Engineering > 29101-(S2) Master Theses |
| Depositing User: | Efsa Valika |
| Date Deposited: | 04 Aug 2025 03:36 |
| Last Modified: | 04 Aug 2025 03:36 |
| URI: | http://repository.its.ac.id/id/eprint/124447 |
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