Syifa', Fadillatus (2026) Pengembangan Model Perhitungan Biomassa Menggunakan Ekstraksi Parameter Struktur Tegakan Kelapa Sawit Berbasis Point Cloud LiDAR (Studi Kasus: Kecamatan Boro, Kabupaten Blitar, Jawa Timur). Other thesis, Institut Teknologi Sepuluh Nopember.
![[thumbnail of 5016221039-Undergraduate_Thesis.pdf]](http://repository.its.ac.id/style/images/fileicons/text.png) |
Text
5016221039-Undergraduate_Thesis.pdf Restricted to Repository staff only Download (6MB) | Request a copy |
Abstract
Perkebunan kelapa sawit berperan penting dalam penyimpanan karbon sehingga estimasi biomassa di atas permukaan tanah (Above Ground Biomass/AGB) yang akurat diperlukan untuk mendukung inventarisasi karbon dan mitigasi perubahan iklim. Penelitian ini bertujuan memperoleh parameter struktur pohon kelapa sawit menggunakan data multi-platform LiDAR, mengevaluasi akurasi metode Non-QSM dan Quantitative Structure Modeling (QSM), serta mengestimasi biomassa, cadangan karbon (carbon stock), dan serapan karbon dioksida (CO₂). Penelitian dilakukan pada perkebunan kelapa sawit di Kecamatan Boro, Kabupaten Blitar, menggunakan data point cloud hasil integrasi Backpack LiDAR–Drone LiDAR dan Handheld LiDAR. Tahapan penelitian meliputi alignment, georeferencing, segmentasi pohon, ekstraksi parameter Diameter at Breast Height (DBH) dan tinggi pohon menggunakan metode Non-QSM dan QSM, serta evaluasi akurasi berdasarkan nilai RMSE, bias, relative RMSE (rRMSE), dan koefisien determinasi (R²). Parameter hasil ekstraksi terbaik digunakan untuk menghitung AGB, cadangan karbon, dan serapan CO₂ menggunakan persamaan alometrik kelapa sawit. Hasil penelitian menunjukkan bahwa metode Non-QSM memberikan akurasi lebih baik dibandingkan QSM. Nilai RMSE tinggi pohon terbaik sebesar 0,0494 m diperoleh dari Backpack LiDAR, sedangkan RMSE DBH terbaik sebesar 0,0384 m diperoleh dari Handheld LiDAR. Estimasi rata-rata AGB sebesar 163,13 kg/pohon pada Backpack LiDAR dan 159,36 kg/pohon pada Handheld LiDAR, dengan rata-rata cadangan karbon masing-masing sebesar 62,19 kg C/pohon dan 60,42 kg C/pohon. Hasil penelitian menunjukkan bahwa integrasi multi-platform LiDAR mampu menghasilkan estimasi parameter struktur pohon dan biomassa kelapa sawit secara akurat sebagai alternatif inventarisasi karbon yang cepat, efisien, dan non-destruktif.
==================================================================================================================================
Oil palm plantations play an important role in carbon storage; therefore, accurate estimation of Above Ground Biomass (AGB) is essential for carbon inventory and climate change mitigation. This study aimed to extract oil palm structural parameters using multi-platform LiDAR data, evaluate the accuracy of the Non-QSM and Quantitative Structure Modeling (QSM) methods, and estimate AGB, carbon stock, and CO₂ sequestration. The study was conducted in an oil palm plantation located in Boro District, Blitar Regency, using point cloud data acquired from the integration of Backpack LiDAR–Drone LiDAR and Handheld LiDAR. The workflow included alignment, georeferencing, tree segmentation, extraction of Diameter at Breast Height (DBH) and tree height using the Non-QSM and QSM methods, followed by accuracy assessment using RMSE, bias, relative RMSE (rRMSE), and the coefficient of determination (R²). The best-performing structural parameters were then used to estimate AGB, carbon stock, and CO₂ sequestration based on established oil palm allometric equations. The results show that the Non-QSM method outperformed the QSM approach. The best tree height accuracy was achieved by Backpack LiDAR with an RMSE of 0.0494 m, while the best DBH accuracy was obtained using Handheld LiDAR with an RMSE of 0.0384 m. The average estimated AGB was 163.13 kg tree⁻¹ for Backpack LiDAR and 159.36 kg tree⁻¹ for Handheld LiDAR, with average carbon stocks of 62.19 kg C tree⁻¹ and 60.42 kg C tree⁻¹, respectively. These findings demonstrate that multi-platform LiDAR provides an accurate, efficient, and non-destructive approach for estimating oil palm structural parameters and biomass.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | LiDAR, Point cloud, Kelapa Sawit, Above Ground Biomass, Non-QSM, Carbon Stock, LiDAR, Point cloud, Oil Palm, Above Ground Biomass, Non-QSM, Carbon Stock |
| Subjects: | T Technology > TD Environmental technology. Sanitary engineering > TD195.B56 Biomass energy |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Fadillatus x Fadillatus Syifa' |
| Date Deposited: | 28 Jul 2026 08:40 |
| Last Modified: | 02 Sep 2026 08:30 |
| URI: | http://repository.its.ac.id/id/eprint/138892 |
Actions (login required)
 |
View Item |