无人机航测技术在森林蓄积量估测中的应用  

Application of UAV Aerophotographic System in Forest Volume Estimation

作　　者：李亚东[1,2] 冯仲科[1] 明海军 李长青[2] 曹明兰[2] 

机构地区：[1]北京林业大学精准林业北京市重点实验室,北京100083 [2]北京工业职业技术学院,北京100042 [3]内蒙古大兴安岭林管局森林调查规划院,内蒙古牙克石022150

出　　处：《测绘通报》2017年第4期63-66,共4页Bulletin of Surveying and Mapping

基　　金：国家科技支撑计划(2012BAH34B01);北京市教委科技创新平台项目(PXM2014-014225-000020)

摘　　要：无人机(UAV)航测技术是近年来发展起来的快速获取高分辨率影像的测绘新技术。森林蓄积量估算需要快速高效地获取森林遥感影像。虽然利用卫星和机载雷达同样可获取高分辨率遥感影像,但无人机航测技术与其相比具有飞行成本低、外业周期短、机动灵活等优点。本文利用无人机航测系统获取了案例地区DSM和DEM,采用最大邻域法提取了树高,采用分水岭算法分割了树冠信息,并以树高和冠幅作为解释变量的立木材积二元模型估算了森林蓄积量。结果表明,树高提取精度为83.73%,冠幅提取精度为86.98%,林分蓄积量估算精度为81.80%。UAV aerophotographic system is a new technique developed in recent years which can rapidly acquire high-resolution images. In the estimation of forest volume, it is needed to rapidly and efficiently acquire forest remote sensing image.Although the high-resolution remote sensing images can be acquired through satellite and airborne radar as well, compared with UAV aerophotographic system, the latter has lower cost on flight, short industry cycle, flexible and other advantages. In this paper, the DSM and DEM of the case area are acquired with the use of UAV aerophotographic system, tree height is extracted by maximum neighborhood method, and tree crown information is segmented by watershed algorithm. In addition, the forest volume is estimated by the two-way tree volume model with tree height and crown diameter as explanatory variables. The results show that the precision for tree height extraction is 83.73%, the precision for crown diameter extraction is 86.98%, and the estimated precision for the stand volume is 81.80%.

关 键 词：无人机航测 树高 冠幅 森林蓄积量估算 

分 类 号：P231[天文地球—摄影测量与遥感] S758.5[天文地球—测绘科学与技术]