Mulyodiputro, Nauval Ramadhan (2026) Analisis Perbandingan UAV Fotogrametri, UAV LiDAR, Dan TLS Untuk Estimasi Biomassa Dalam Perhitungan Stok Karbon Tanaman Kelapa Sawit (Studi Kasus: Perkebunan Kelapa Sawit, Blitar). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Perubahan iklim menuntut metode pemetaan karbon yang lebih akurat, khususnya pada perkebunan kelapa sawit yang bertajuk rapat dan saling tumpang tindih. Penelitian ini membandingkan kemampuan Unmanned Aerial Vehicle (UAV) Fotogrametri, UAV LIDAR, dan Terrestrial Laser Scanning (TLS) dalam memodelkan struktur tiga dimensi vegetasi untuk mengestimasi biomassa dan stok karbon di atas permukaan tanah pada perkebunan kelapa sawit dewasa di Blitar, Jawa Timur. Data dari 44 individu pohon diproses menjadi Canopy Height Model pada UAV Fotogrametri berbasis Structure from Motion yang dikoreksi menggunakan model regresi pangkat (power function, Hb=0,812x CHM 0,638). Data UAV LIDAR dan TLS melalui tahapan filtering, normalisasi, dan segmentasi individu pohon menggunakan algoritma TreeISO. Estimasi biomassa dihitung menggunakan persamaan alometrik non-destruktif berbasis tinggi pohon (AGB=37,47xH+3,6334$), dan dikonversi menjadi cadangan karbon menggunakan fraksi karbon organik 0,47. Uji akurasi tinggi pohon terhadap 14 sampel pengukuran lapangan (Total Station) menunjukkan bahwa TLS memiliki akurasi tertinggi (RMSE = 0,007 m), disusul UAV LIDAR (RMSE = 0,032 m), dan UAV Fotogrametri (RMSE = 0,470). Rata-rata AGB yang diestimasi berturut-turut adalah 145,088 kg (TLS), 145,069 kg (UAV LiDAR), dan 146,300 kg (UAV Fotogrametri). Berdasarkan akurasi dan efisiensi waktu pada penelitian ini, UAV LiDAR direkomendasikan untuk inventarisasi skala perkebunan luas, TLS untuk analisis plot lokal berpresisi tinggi, dan UAV Fotogrametri sebagai solusi berbiaya rendah dengan kalibrasi model regresi.
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Climate change demands more accurate carbon mapping methods, particularly in oil palm plantations characterized by dense and overlapping canopies. This study compares the capabilities of Unmanned Aerial Vehicle (UAV) Photogrammetry, UAV LiDAR, and Terrestrial Laser Scanning (TLS) in modeling three-dimensional vegetation structures to estimate above-ground biomass (AGB) and carbon stock in a mature oil palm plantation in Blitar, East Java. Data from 44 individual trees were processed into a Canopy Height Model (CHM) using a Structure from Motion based UAV Photogrammetry approach, which was corrected using a power function regression model (Hb=0,812×CHM^0,638). UAV LiDAR and TLS data underwent filtering, normalization, and individual tree segmentation using the TreeISO algorithm. Biomass estimation was calculated using a height-based non-destructive allometric equation (AGB=37,47×H+3,6334), and converted into carbon stock using an organic carbon fraction of 0,47. Tree height accuracy assessment against 14 field measurement samples (Total Station) revealed that TLS achieved the highest accuracy (RMSE=0,007 m), followed by UAV LiDAR (RMSE=0,032 m), and UAV Photogrammetry (RMSE=0,470). The average estimated AGB was 145,088 kg (TLS), 145,069 kg (UAV LiDAR), and 146,300 kg (UAV Photogrammetry), respectively. Based on the accuracy and time efficiency evaluated in this study, UAV LiDAR is recommended for large-scale plantation inventories, TLS for high-precision local plot analysis, and UAV Photogrammetry as a cost-effective solution with regression model calibration.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Biomassa, Kelapa Sawit, TLS, UAV Fotogrametri, UAV LiDAR, Biomass, Oil Palm, TLS, UAV LiDAR, UAV Photogrammetry, |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA1573 Detectors. Sensors T Technology > TA Engineering (General). Civil engineering (General) > TA590 Topographical surveying T Technology > TR Photography > TR810 Aerial photography U Military Science > U Military Science (General) > UG Military Engineering > UG1242.D7 Unmanned aerial vehicles. Drone aircraft |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Nauval Ramadhan Mulyodiputro |
| Date Deposited: | 31 Jul 2026 01:49 |
| Last Modified: | 31 Jul 2026 01:49 |
| URI: | http://repository.its.ac.id/id/eprint/137627 |
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