Using Ground-based LiDAR Data to Reconstruct the Three Dimensional Model of Swietenia macrophylla King

• Main Authors: Tsai, Hsin-Yi, 蔡馨儀
• Other Authors: Chen, Chaur-Tzuhn
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/06028075419541047626

碩士 === 國立屏東科技大學 === 森林系所 === 100 === Traditional forest inventory that collected the tree measurement data by destroyed measurements would cost huge manpower and cost. Because of the progression of technology, applying remote sensing techniques to forest inventory becomes current trends. However, remote sensing information is limited due to the incorrect remote sensing data which is affected by climate and terrain shadow. LiDAR system is a high technology, high precision, low cost, and non-destroyed measurement techniques. LiDAR system could not only precisely measures trees attributes, such as DBH, height, volume and biomass, but also simulates trees and stand status by using three dimensional information in foreign studies. This study used Swietenia macrophylla King artificial forests as a material to explore the availability of trees attribute measurements and the application of trees three dimensional modeling by using ground-based LiDAR data. Firstly, we set up rectangular Swietenia macrophylla King artificial forest sample area which is 15m X 55m in 2010 and 2011. Then we did ground LiDAR scanning via Mensi GS 100 and FARO Photon 120, and retrieved trees attribute data via Rapidform XOR3. In addition, field data survey was used to investigate the accuracy of applying ground-based LiDAR to forest measurement. We also used LiDAR trees attribute data to evaluate individual tree and current annual increment. Lastly, reversed engineering was be utilized to reconstruct the tree dimensional model of Swietenia macrophylla King that would be apply to landscape modeling in study sample areas. The results showed the high accuracy of using surface cloud point information of ground-based LiDAR scanning to evaluate trees attribute. Hence, it is feasible to evaluate stand attribute in flat slope forest land and even aged forest via ground-based LiDAR. Ground-based LiDAR has the advantages of high accuracy and non-destroyed measurement, so it can be used to evaluate trees attribute and current annual increment obviously. Nonetheless, in terms of tree crown rate, it is not easy to evaluate variety. Current annual increment of stand was 47.08 m3/ ha (Per hectare stocking was 51.52 m3/ ha in 2010, 98.60 m3/ ha in 2011). In conclusion, ground-based LiDAR not only scan trees precisely and get lots of three dimensional cloud point data, but also reconstruct the three dimensional model of Swietenia macrophylla King and display forest landscape visual modeling via reversed engineering techniques.