无人机航测技术在森林蓄积量估测中的应用

发布时间：2018-05-19 17:11

本文选题：无人机航测 + 树高　；参考：《测绘通报》2017年04期

【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%。
[Abstract]:UAV (UAV) aerial survey technology is a new technology for rapid acquisition of high resolution images in recent years. Estimation of forest volume requires rapid and efficient acquisition of forest remote sensing images. Although high resolution remote sensing images can also be obtained by using satellite and airborne radar, UAV aerial survey technology has the advantages of low flight cost, short outfield period, flexible maneuverability and so on. In this paper, DSM and demm are obtained by using UAV aerial survey system, tree height is extracted by maximum neighborhood method, and tree crown information is segmented by watershed algorithm. The stand volume model with tree height and crown width as the explanatory variable was used to estimate the forest volume. The results showed that the extraction accuracy of tree height was 83.73, the extraction accuracy of crown was 86.98, and the estimation accuracy of stand volume was 81.80.
【作者单位】：北京林业大学精准林业北京市重点实验室;北京工业职业技术学院;内蒙古大兴安岭林管局森林调查规划院;
【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)
【分类号】：P231;S758.51

【相似文献】