三维激光雷达空地一体化城市森林林分因子遥感提取  

Remote sensing extraction of stand factors in urban forests from 3D LiDAR space-ground integration

作　　者：雷雪 吴建勋 董崇天 洪隽琰 刘蕾 孟陈[4] 卫炎豪 彭俊喜 LEI Xue;WU Jianxun;DONG Chongtian;HONG Junyan;LIU Lei;MENG Chen;WEI Yanhao;PENG Junxi(East China Survey,Planning and Design Institute of State Forestry and Grassland Administration,Hangzhou 310019,China;Shanghai Landscape Architecture Construction Co.,Ltd.,Shanghai 200080,China;Shanghai Gardens Group Co.,Ltd.,Shanghai 200335,China;School of Geographic Sciences,East China Normal University,Shanghai 201109,China)

机构地区：[1]国家林业和草原局华东调查规划院,杭州310019 [2]上海市园林工程有限公司,上海200080 [3]上海园林(集团)有限公司,上海200335 [4]华东师范大学地理科学学院,上海201109

出　　处：《生态学杂志》2025年第3期1029-1037,共9页Chinese Journal of Ecology

基　　金：上海市科委2022年度“科技创新行动计划”科技支撑碳达峰碳中和专项项目(22dz1208503)和《陆海梯度空间联动特征识别与复合生态功能分析》(22dz1202605)资助。

摘　　要：林分因子的精确遥感测量和批量提取是森林资源调查的发展趋势。本研究采用无人机和地面手持激光雷达对上海市浦江郊野公园香樟林进行遥感,结合林地实地调查数据,探究激光雷达空地一体化技术在城市人工纯林中的林分因子提取方法和精度评价。结果表明:(1)激光雷达空地一体化技术在森林资源林分因子遥感测量中具有较高测量精度和应用价值,其提取树高的偏差为-0.13 m(-1.17%),R^(2)为0.95(P<0.001);提取胸径的偏差为-2 cm(5.59%),R^(2)为0.98(P<0.001);通过公式DBH=0.9670×DBH_(p)-0.0057可对胸径提取中的系统误差进行有效校正。(2)无人机和地面手持激光雷达在森林资源林分因子遥感测量中各具优势,无人机激光雷达在测量树高和冠幅上具有优势;地面激光雷达在测量胸径和树冠体积上精度更高。因此,激光雷达空地融合技术在森林碳汇评估和森林资源调查中具有广阔的应用空间,同时也为大范围森林资源调查的自动化和智能化提供技术支撑。Accurate remote sensing measurement and batch extraction of stand factors are the development trends of forest resources survey.In this study,UAV and ground-based handheld LiDAR were used for remote sensing of Cinnamomum camphora woodland of Pujiang Country Park in Shanghai.Combined with field survey data,we explored forest stand factor extraction method and evaluated the accuracy of 3D LiDAR space-ground integration technology in urban artificial pure forest.The results showed that:(1)3D LiDAR space-ground integration technology had high measurement accuracy and application value in remote sensing measurement of forest stand factors,and the bias of the extracted tree height was-0.13 m(-1.17%),with R^(2)being 0.95(P<0.001).The bias of the diameter at breast height(DBH)was-2 cm(-5.59%),with R^(2)=0.98(P<0.001).Effective correction of systematic errors in DBH extraction was accomplished using the formula DBH=0.9670×DBH_(p)-0.0057.(2)UAV and ground-based handheld LiDAR had advantages in remote sensing measurement of forest stand factors.UAV LiDAR had advantages in measuring tree height and crown width,while ground-based LiDAR was more accurate in measuring DBH and canopy volume.Therefore,LiDAR air-ground fusion technology has broad application space in forest carbon sink assessment and forest resources survey,which would provides technical support for the automation and intelligence of largescale forest resources survey.

关 键 词：森林资源调查 碳汇 林分因子 遥感测量 激光雷达 

分 类 号：S771.8[农业科学—森林工程]