森林智能测绘记算器设计与试验

发布时间：2018-08-04 19:26

【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。
[Abstract]:Forest survey mainly includes single tree DBH, single tree height, single wood product, stand average DBH, stand average height, stand density, stand volume and so on. Based on the principle of photogrammetry, the principle of image processing and the principle of tree measurement, a forest intelligent surveying and mapping recorder is designed, which is composed of PDA module and cloud head, which can obtain inclination angle and azimuth angle. By integrating four modular programs in Android Studio 2.1 and using Java language to assemble the parameters, such as distance and image information, the tree height measurement, DBH measurement and 3D angular plot measurement can be realized. Basic measurement and other 5 functions. Through the test, The accuracy of tree height measurement is 97.13, that of diameter at breast height is 97.08, that of volume measurement is 94.52, that of stand height is 98.09, that of stand diameter is 98.05, that of stand density is 96.59 and that of stand volume is 95.72. The precision requirements for the continuous inventory of national forest resources, It can be widely used in forestry investigation.
【作者单位】：北京林业大学精准林业北京市重点实验室;
【基金】：国家自然科学基金项目(41371001)
【分类号】：S758.7;TP391.41

【相似文献】