西北林学院学报2024，Vol.39Issue(1)：1-9,9.DOI:10.3969/j.issn.1001-7461.2024.01.01
基于无人机遥感的云南松林冠参数提取研究
Parameter Extraction of Pinus yunnanensis Canopy Based on UAV Remote Sensing
摘要
Abstract
Taking the typical natural Pinus yunnanensis pure forest in central Yunnan as the research ob-ject,combined with unmanned aerial vehicle(UAV)remote sensing image acquisition and field standard survey,the traditional visual interpretation,multi-scale segmentation and watershed segmentation methods were used to extract the two canopy parameters of single tree crown and canopy density.Based on the ground measured data,the rates of crown extraction accuracy of the three single tree segmentation methods were 91.48％,87.33％and 84.04％,respectively.Taking the visual interpretation results as a reference,the accuracy of multi-scale segmentation method to extract canopy density was 90.24％,and R2 was 0.884 5.The accuracy of canopy density extracted by watershed segmentation method was 87.40％,andR2 was 0.743 7.The results indicate that the multi-scale segmentation method based on UAV remote sensing image can extract the canopy parameter information of P.yunnanensis pure forest well,and the extraction accuracy meets the requirements of forest resource survey,which can effectively improve the efficiency of forest resource survey.关键词
林冠参数/无人机遥感/目视解译/多尺度分割/分水岭分割/云南松Key words
forest canopy parameters/UAV remote sensing/visual interpretation/multi-scale segmenta-tion/watershed segmentation/Pinus yunnanensis分类
农业科技引用本文复制引用
杨安蓉,张超..基于无人机遥感的云南松林冠参数提取研究[J].西北林学院学报,2024,39(1):1-9,9.基金项目
国家自然科学基金(32160405) （32160405）
云南省"万人计划"人才培养项目(YNWR-QNBJ-2018-334). （YNWR-QNBJ-2018-334）
