中文摘要：

森林调查主要包括单木胸径、单木树高、单木材积、林分平均胸径、林分平均高、林分密度、林分蓄积量等。以摄影测量学原理、图像处理技术原理、测树学原理为理论基础,设计了森林智能测绘记算器,由自主研发的PDA模块、EDM模块和云台组成,测量时获取倾角、方位角、距离及图像信息等参数,通过在Android Studio 2.1开发环境下集成并利用Java语言进行汇编的4个模块化程序,能够实现树高测量、胸径测量、三元材积解算、3D角规样地测量、基本测量等5项功能。通过试验验证,树高测量精度达97.13%,胸径测量精度达97.08%,材积测量精度达94.52%,林分平均高测量精度达98.09%,林分平均胸径测量精度达98.05%,林分密度测量精度达96.59%,林分蓄积量测量精度达95.72%,符合国家森林资源连续清查的精度要求,可以在林业调查中推广使用。

英文摘要：

Forest resources inventory includes individual tree DBH （diameter at breast height ）, individual tree height, individual tree volume, stand average DBH, stand average height, stand density and stand volume. The theoretical basis was based upon the principle of photogrammetry, image-processing technology and forest measurement, and the forest intelligent dendrometer was developed which was composed of the self-developed R＆D PDA module, EDM module and rotational station. There were four modular procedures which were compiled in the Java language and developed in Android Studio 2. I systems development environment, and five measuring functions, such as tree height, DBH, three-element volume calculation, 3D angle gauge plot and basic measurement, and they were implemented by getting dip angle, azimuth, distance, image information and other parameters. Validated by experiments, the measuring accuracy of tree height was as high as 97.13%, DBH was 97.08%, volume was 94.52%, stand average height was 98.09%, stand average DBH was 98.05%, stand density was 96.59% , and stand volume measurement accuracy was 95.72%. Thus the equipment was in line with the accuracy requirement of national forest inventory （NFI） , which can be promoted to be used in the forestry inventory.