應用空載光達推估阿里山地區柳杉人工林林分材積

魏浚紘

doi:10.6346/NPUST.2008.00223

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應用空載光達推估阿里山地區柳杉人工林林分材積

Using Airborne LiDAR Data to Estimate the Stand Volume of Cryptomeria japonica in the Alishan Area

魏浚紘 , Masters　　Advisor：陳朝圳　　

繁體中文 DOI： 10.6346/NPUST.2008.00223

空載光達；林分性態；林分材積；柳杉； Airborne LiDAR ； Stand Structure ； Stand Volume ； Cryptomeria japonica

Abstract │ Reference (87) │ Times Cited (4) │ Altmetrics

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Traditional forest resource surveys often consume lots of manpower and resources. With the improvement of the remote sensing technique, the usage of high resolution images and laser scanning systems could conserve many resources. LiDAR systems can be categorized into three types which are Airborne Laser Scanning Systems, Terrestrial Laser Scanners, and Space-borne Large Altimeter Systems. Many references indicate that LiDAR systems could monitor DBHs (Diameter of Breast Heights), canopy heights, tree crown delineations, volumes, stand structures and biomass accurately. Though the scholars in Taiwan are still at the stage of exploring the method of LiDAR, it is a tendency to exploit the LiDAR systems for the survey of forest resources. Traditionally, we estimate stand volumes by analogically interpreting average stand heights, average crown diameters and crown closures based on air pictures. But now we can obtain average stand heights, crown diameters and crown closure by auto-computerized information in virtue of the two characteristics, 3D space and multiple-returns of the Airborne LiDAR since its development. In this study, we investigated the single tree data in Alishan area using airborne LiDAR data to estimate average stand height, average crown diameter and crown closure, and analyzed the data of the stand volume from the airborne LiDAR for the suitable raster cell size and estimation model. We obtained LiDAR characteristic values from auto-computerized information, and applied associated analysis to stand characteristics in different spatial scales. The results showed when the spatial scales increased gradually, associations between characteristic values and stand characteristics were in direct proportion. When the LiDAR raster grid size was 20 m × 20 m, the best multiple regression (R2=0.8210) was obtained from stand density, first echo ratio and intensity by using canopy height model. There were many differences between Airborne LiDAR and air pictures when estimating stand volumes. There must be professionally trained personnel analyzing the traditional air-photos in order to collect the accurate information. Also we need to use the method of double-sampling to estimate the whole forest volume. On the other hand, the Airborne LiDAR system processes the images taken by LiDAR, and after eliminating the incorrect point clouds, the following analysis is automatically produced by the computer system. It is more consistent than the analysis done by professionally trained personnel because the estimating process does not have to go through the method of double-sampling in order to extract the volume of woods in the whole forest.

Reference ( 87 ) 〈TOP〉

江采薇 (2006) 融合光達及高解析影像建立三維植生覆蓋模型。國立中央大學土木工程研究所碩士論文，82頁。
連結：
林金樹、黃家培、柯建全、張建禕 (2005) 應用高解析力衛星影像偵測與描繪開闊地立木樹冠之研究。中華林學季刊 38(2): 163-178。
連結：
施瑩瑄 (2005) 應用空載光達獲取林分高之研究。國立台灣大學森林環境暨資源學系研究所碩士論文，77頁。
連結：
張瑞文 (2007) 應用空載光達資料於溪頭柳杉人工林分調查之研究。國立台灣大學森林環境暨資源學系研究所碩士論文，108頁。
連結：
陳永寬、詹進發、葉堃生、鄭祈全、施瑩瑄 (2005) 應用地面雷射掃描儀測算樹高之研究。航測及遙測學刊 10(4): 327-336。
連結：

Times Cited (4) 〈TOP〉

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