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研究生： 羅文麥
Ryadi, Michael Vashni Immanuel
論文名稱： 以地面光達量測紅樹林立木密度
Stand Density Measurement in Mangrove Forest using Terrestrial Laser Scanner
指導教授： 王驥魁
Wang, Chi-Kuei
學位類別： 碩士
Master
系所名稱： 工學院 - 測量及空間資訊學系
Department of Geomatics
論文出版年： 2020
畢業學年度： 108
語文別： 英文
論文頁數： 67
外文關鍵詞： Mangrove, Stand density, Terrestrial Laser Scanner
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    • Mangrove is vegetated in the coastal area and can serve as a coastal wave barrier. Stand density of mangrove is a crucial factor that breaks the waves and reduces the wave height significantly. In this study, 20 mangrove survey plots were surveyed using Terrestrial Laser Scanner (TLS). The produced point cloud data had been cropped to the interest area and segmented to count the tree number. The average height of the survey plot was calculated using Canopy Height Model (CHM) with a resolution of 10 cm generated over the point cloud data. In addition, reference tree number on all survey plots were acquired via in-situ measurement. The result of the counted tree from point cloud data was showed correct number of stand density compared with the reference data. The produced F1 score of ground truth validation was ranging from 0.64 to 1.00 with median value of about 0.92. Finally, exponential regression models were calculated on the results of stand density and plot average tree height data. The correlation showed a negative correlation. Mangrove survey plots with low tree height tend to have a higher number of tree density than the survey plot with high tree height.

    Abstract ii Acknowledgment iii Table of Contents iv List of Tables vi List of Figures vii CHAPTER 1. Introduction 1 CHAPTER 2. Material and Methodology 3 2.1 Study Area 3 2.2 Instruments 6 2.2.1 TLS 6 2.2.2 Registration Target 8 2.2.3 GNSS Receiver 10 2.3 Methods 11 2.3.1 Multiple Scanning Strategy 11 2.3.2 Point Cloud Registration 13 2.3.3 Plot Boundary Determination and Area Calculation 18 2.3.4 Tree Manual Segmentation 19 2.3.5 Plot Average Tree Height 22 2.3.6 Ground Truth Validation 24 2.3.7 Accuracy Assessment 28 CHAPTER 3. Results and Discussions 30 3.1 Tree Segmentation Result 30 3.2 Ground Truth Validation of TLS Measurement 38 3.3 Mangrove Stand Density and Plot Average Tree Height 40 CHAPTER 4. Conclusions 42 References 45 APPENDIX A TLS Scanner and Registration Target Configuration 48 APPENDIX B Ground Truth 58

    Alongi, Daniel M. 2002. “Present State and Future of the World’s Mangrove Forests.” Environmental Conservation 29(3): 331–49.
    Badola, Ruchi, and S. A. Hussain. 2005. “Valuing Ecosystem Functions: An Empirical Study on the Storm Protection Function of Bhitarkanika Mangrove Ecosystem, India.” Environmental Conservation 32(1): 85–92.
    Chen, Jian Xing et al. “研究水筆仔的一生的生長過程.” http://library.taiwanschoolnet.org/cyberfair2005/c28093245/study/index.htm (March 28, 2020).
    Computree. 2016. “Computree : Forest Inventory with Lidar (ONF).” http://computree.onf.fr/?lang=en (March 27, 2020).
    Dassot, Mathieu, Thiéry Constant, and Meriem Fournier. 2011. “The Use of Terrestrial LiDAR Technology in Forest Science: Application Fields, Benefits and Challenges.” Annals of Forest Science 68(5): 959–74.
    Giri, Chandra et al. 2011. “Status and Distribution of Mangrove Forests of the World Using Earth Observation Satellite Data.” Global Ecology and Biogeography 20(1): 154–59.
    Hopkinson, Chris, Laura Chasmer, Colin Young-Pow, and Paul Treitz. 2004. “Assessing Forest Metrics with a Ground-Based Scanning Lidar.” Canadian Journal of Forest Research 34(3): 573–83.
    Kathiresan, Kandasamy, and Narayanasamy Rajendran. 2005. “Coastal Mangrove Forests Mitigated Tsunami.” Estuarine, Coastal and Shelf Science 65(3): 601–6.
    Lee, Hong Yuan, and Shang Shu Shih. 2004. “Impacts of Vegetation Changes on the Hydraulic and Sediment Transport Characteristics in Guandu Mangrove Wetland.” Ecological Engineering 23(2): 85–94.
    Liang, Xinlian et al. 2016. “Terrestrial Laser Scanning in Forest Inventories.” ISPRS Journal of Photogrammetry and Remote Sensing 115: 63–77. http://dx.doi.org/10.1016/j.isprsjprs.2016.01.006.
    Mazda, Yoshihiro, Michimasa Magi, Motohiko Kogo, and Phan Nguyen Hong. 1997. “Mangroves as a Coastal Protection from Waves in the Tong King Delta, Vietnam.” Mangroves and Salt Marshes 1: 127–35.
    Ministry of Interior. 2016. Tamsui River Basin Important Wetland Conservation and Utilization Plan(National Level) (In Chinese : 淡水河流域重要濕地(國家級)保育利用計畫).
    Ojoatre, Sadadi et al. 2019. “Assessing the Uncertainty of Tree Height and Aboveground Biomass from Terrestrial Laser Scanner and Hypsometer Using Airborne LiDAR Data in Tropical Rainforests.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12(10): 4149–59.
    RIEGL Laser Measurement Systems GmbH. 2020. “RiSCAN PRO 2.0.” http://www.riegl.com/products/software-packages/riscan-pro/ (March 27, 2020).
    Shih, Shang Shu et al. 2015. “Tradeoffs between Reducing Flood Risks and Storing Carbon Stocks in Mangroves.” Ocean and Coastal Management 105: 116–26. http://dx.doi.org/10.1016/j.ocecoaman.2015.01.001.
    Spalding, M. D., F. Blasco, and C. D. Field, eds. 1997. World Mangrove Atlas. Okinawa, Japan: The International Society for Mangrove Ecosystems.
    Wang, Yunsheng et al. 2019. “Is Field-Measured Tree Height as Reliable as Believed – A Comparison Study of Tree Height Estimates from Field Measurement, Airborne Laser Scanning and Terrestrial Laser Scanning in a Boreal Forest.” ISPRS Journal of Photogrammetry and Remote Sensing 147(October 2018): 132–45. https://doi.org/10.1016/j.isprsjprs.2018.11.008.

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