Estimating the Stand Stocks by Unmanned Aerial Vehicle Imagery

• Main Authors: Chu, Tsung-Wei, 朱宗威
• Other Authors: Chen, chaur-Tzuhn
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/50567506414882947983

碩士 === 國立屏東科技大學 === 森林系所 === 102 === Past research has indicated that forest resources inventory consumes lots of manpower, money and time. With the enhancement of remote sensing technology, using aerial images for forest resources measure that could let cost savings. In this study, we use Pingtung County TaiSugar plantation as a study area. Use UAV image and field sampling data as the research materials. We use orthophotos with Pix4D software to compare the difference of overlapping. This study will use UAV aerial photographs to extract the stand characteristics and establish the volume formula and aerial volume formula of standing timber. Finally, we use research trial to design the process workflow with UAV technology for plantation survey. Results showed that the 80% overlapping will have the smallest distorting. The study is based on the data collected by UAV aerial image and field sampling plot. We use regression analysis to establish the relationship between the stand characteristics extracting from UAV aerial image and field sampling plot surveying. Results showed that crown and tree height can directly extract from UAV aerial image, the coefficient of crown determination (R2) were Swietenia macropnylla 0.90, Fraxinus griffithii 0.79 and Zelkova serrata 0.72 and coefficient of tree height Swietenia macropnylla 0.97, Fraxinus griffithii 0.85 and Zelkova serrata 0.63 respectively. Meanwhile, the aerial stand volume table had been established by independent variables of crown closure and tree height extracting from UAV image that the coefficient of volume (R2) was Swietenia macropnylla 0.70, Fraxinus griffithii 0.71 and Zelkova serrata 0.50.