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MODEL PENDUGAAN DIAMETER POHON BERBASIS CITRA UNMANNED AERIAL VEHICLE (UAV) PADA HUTAN HUJAN TROPIS PAPUA: STUDI DI PULAU MANSINAM PAPUA BARAT (Model of Tree Diameter Estimation Based on Unmanned Aerial Vehicle (UAV) Image in Papua Tropical Rain Forest: a Study in Mansinam Island Papua Barat)

Francine Hematang, Agustinus Murdjoko, Hendri Hendri

Abstract


Abstract

Unmanned aerial vehicles (UAV) have often been used for various purposes, not only for photography but also have been used for science in various scientific fields, including forestry. UAV has the ability to move freely in the air and record objects on the ground with high spatial resolution and wide area coverage. This study aimed to estimate the diameter at breast height (DBH) based on the image generated from the UAV. UAV was used to obtain aerial photographs taken at an altitude of 150 m above the land surface in four sample areas of 27 ha at the study site. Aerial photos were processed using agisoft photoscan software to produce a Digital Elevation Model (DEM) and orthophoto. Tree crowns were delineated from orthophoto and analyzed to obtain crown area and diameter. DBH measurements in the field were carried out on 206 sample trees used to build a DBH estimator model. The correlation test results showed that the crown diameter has a high correlation with DBH so that this variable was used as an independent variable. The best DBH estimator model was the polynomial model with the equation y = 0.0118744 x² + 1.08835 x + 22.8125, where y is DBH and x is the canopy diameter of the aerial photo interpretation results. Estimating DBH using UAV has several benefits, such as reducing time, cost and labour.

 

Abstrak

Unmanned aerial vehicle (UAV) sudah sering digunakan untuk berbagai tujuan, bukan hanya untuk fotografi, namun telah dimanfaatkan untuk sains di berbagai bidang keilmuan, termasuk bidang kehutanan. UAV memiliki kemampuan bergerak dengan bebas di udara dan merekam objek di darat dengan resolusi spasial tinggi, dan cakupan areal yang luas. Penelitian ini bertujuan untuk melakukan pendugaan diameter setinggi dada (DBH) berdasarkan citra yang dihasilkan dari UAV.  UAV digunakan untuk memperoleh foto udara yang diambil pada ketinggian 150 m di atas permukaan darat pada empat areal sampel seluas 27 ha di lokasi penelitian.  Foto udara diproses dengan menggunakan perangkat lunak agisoft photoscan untuk menghasilkan Digital Elevation Model (DEM) dan ortofoto. Tajuk pohon dideliniasi dari ortofoto dan dianalisis untuk memperoleh luas dan diameter tajuk.  Pengukuran DBH di lapangan dilakukan terhadap 206 pohon sampel yang selanjutnya digunakan untuk membangun model penduga DBH.  Hasil uji korelasi menunjukkan bahwa diameter tajuk mempunyai korelasi yang tinggi dengan DBH sehingga variable ini digunakan sebagai variable bebas. Model terbaik penduga DBH adalah model polinomial dengan persamaan y = 0,0118744 x² + 1,08835 x + 22,8125, dengan y adalah DBH dan x adalah diameter tajuk hasil interpretasi foto udara. Pendugaan DBH menggunakan UAV memiliki beberapa manfaat seperti mampu mengurangi waktu, biaya dan tenaga kerja.


Keywords


UAV; DBH; Diameter Tajuk; Model Polinomial; Papua

References


Agisoft. (2020). Agisoft Metashape User Manual. Agisoft Metashape, (September), 160. Diakses dari https://www.agisoft.com/pdf/metashape-pro_1_5_en.pdf

Auliya, H., Asyari, M., & Jauhari, A. (2020). Korelasi diameter tajuk aerial dan diameter batang setinggi dada (130 cm) berbasis citra drone di Kawasan Hutan Dengan Tujuan Khusus ( KHDTK ) Mandiangin Kalimantan Selatan. Jurnal Sylva Scienteae, 03(3), 516–522.

Banu, T.P., Gheorghe Florian Borlea, & Constantin Banu. (2016). The use of drones in Forestry. Journal of Environmental Science and Engineering B, 5(11), 557–562. https://doi.org/10.17265/2162-5263/2016.11.007

BPS. (2021). Kabupaten Manokwari dalam angka 2021. BPS Kabupaten Manokwari, Manokwari.

Dempewolf, J., Nagol, J., Hein, S., Thiel, C., & Zimmermann, R. (2017). Measurement of within-season tree height growth in a mixed forest stand using UAV imagery. Forests, 8(7), 1–15. https://doi.org/10.3390/f8070231

DJI. (2016). Phantom 3 Profesional : User Manual. 3–6.

Grznárová, A., Mokroš, M., Surový, P., Slavík, M., Pondelík, M., & Mergani, J. (2019). The crown diameter estimation from fixed wing type of uav imagery. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(2/W13), 337–341. https://doi.org/10.5194/isprs-archives-XLII-2-W13-337-2019

Gülci, S. (2019). The determination of some stand parameters using SfM-based spatial 3D point cloud in forestry studies: an analysis of data production in pure coniferous young forest stands. Environmental Monitoring and Assessment, 191(8). https://doi.org/10.1007/s10661-019-7628-4

Iglhaut, J., Cabo, C., Puliti, S., Piermattei, L., O’Connor, J., & Rosette, J. (2019). Structure from motion photogrammetry in Forestry: a Review. Current Forestry Reports, 5(3), 155–168. https://doi.org/10.1007/s40725-019-00094-3

Iizuka, K., Yonehara, T., Itoh, M., & Kosugi, Y. (2018). Estimating tree height and Diameter at Breast Height (DBH) from digital surface models and orthophotos obtained with an unmanned aerial system for a Japanese Cypress (Chamaecyparis obtusa) Forest. Remote Sensing, 10(1). https://doi.org/10.3390/rs10010013

Jaya, I. N. S., Samsuri, & Tien, E. (2010). Teknik Inventarisasi Sediaan Ramin di Hutan Rawa Gambut. ITTO Cities Project, Kementerian Kehutanan, 53(9), 1689–1699. https://doi.org/10.1017/CBO9781107415324.004

Hardjana, K. A. (2013). Model hubungan tinggi dan diameter tajuk dengan diameter setinggi dada pada tegakan tengkawang tungkul putih (Shorea Stenoptera Burck.) di Semboja, Kabupaten Sanggau. Jurnal Penelitian Dipterokarpa, 7(1), 7–18.

Krause, S., Sanders, T. G. M., Mund, J. P., & Greve, K. (2019). UAV-based photogrammetric tree height measurement for intensive forest monitoring. Remote Sensing, 11(7), 1–18. https://doi.org/10.3390/rs11070758

Li, Z., Zan, Q., Yang, Q., Zhu, D., Chen, Y., & Yu, S. (2019). Remote estimation of mangrove aboveground carbon stock at the species level using a low-cost unmanned aerial vehicle system. Remote Sensing, 11(9). https://doi.org/10.3390/rs11091018

Navarro, A., Young, M., Allan, B., Carnell, P., Macreadie, P., & Ierodiaconou, D. (2020). The application of Unmanned Aerial Vehicles (UAVs) to estimate above-ground biomass of mangrove ecosystems. Remote Sensing of Environment, 242 (November 2019). https://doi.org/10.1016/j.rse.2020.111747

Němec, P. (2015). Comparison of modern forest inventory method with the common method for management of tropical rainforest in the Peruvian Amazon. Journal of Tropical Forest Science, 27(1), 80–91.

Panagiotidis, D., Abdollahnejad, A., Surový, P., & Chiteculo, V. (2017). Determining tree height and crown diameter from high-resolution UAV imagery. International Journal of Remote Sensing, 38(8–10), 2392–2410. https://doi.org/10.1080/01431161 .2016. 1264028

PKTL. (2019). Statistik bidang planologi kehutanan dan tata lingkungan tahun 2019. Direktorat Jenderal Planologi Kehutanan Dan Tata Lingkungan Kementerian Lingkungan Hidup Dan Kehutanan. Jakarta.

Purba, H. A., & Perwira. (2021). Penggunaan teknologi UAV pada pemetaan pantai dengan pendekatan berbasis objek geografis. Syntax Admiration 2(2), 6.

Tomaštík, J., Mokroš, M., Saloň, Š., Chudý, F., & Tunák, D. (2017). Accuracy of photogrammetric UAV-based point clouds under conditions of partially-open forest canopy. Forests, 8(5). https://doi.org/10.3390/f8050151

Trimble. (2015). Trimble eCognition Suite. (June), 1–265. Retrieved from www.eCognition.com

Wahyuni, S., Jaya, I. N. S., & Puspaningsih, N. (2016). Model for estimating above ground biomass of reclamation forest using unmanned aerial vehicles. Indonesian Journal of Electrical Engineering and Computer Science, 4(3), 586–593. https://doi.org/10.11591/ijeecs.v4.i3.pp586-593

Yilmaz, V., Levent, T., Cigdem, Y., & Oguz, G. (2017). Determination of tree crown diameters with segmentation of a UAS-Based canopy height model. IPSI BgD Transactions on Internet Research, 13(July), 63–67.

Yusandi, S., & Jaya, I. N. S. (2015). Model penduga biomassa hutan mangrove menggunakan citra satelit resolusi sedang di areal kerja perusahaan konsesi hutan di Kalimantan Barat. Bonorowo Wetlands, 6(2), 69–81. https://doi.org/10.13057/bonorowo/w060201

Zhang, Y., Wu, H., & Yang, W. (2019). Forests growth monitoring based on tree canopy 3D reconstruction using UAV aerial photogrammetry. Forests, 10(12), 1–16. https://doi.org/10.3390/f10121052




DOI: https://doi.org/10.20886/jpkf.2021.5.1.16-30

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