Using UAVs for detection of trees from digital surface models  

作　　者：Nusret Demir 

机构地区：[1]Department of Space Science and Technologies, Remote Sensing Research and Application Center, Akdeniz University

出　　处：《Journal of Forestry Research》2018年第3期804-812,共9页林业研究（英文版）

基　　金：financially supported by the scientific research projects coordination unit of Akdeniz University,Project No.FBA-2015-446

摘　　要：A difficult problem in forestry is tree inventory.In this study, a GoProHero attached to a small unmanned aerial vehicle was used to capture images of a small area covered by pinus pinea trees. Then, a digital surface model was generated with image matching. The elevation model representing the terrain surface, a ‘digital terrain model’,was extracted from the digital surface model using morphological filtering. Individual trees were extracted by analyzing elevation flow on the digital elevation model because the elevation reached the highest value on the tree peaks compared to the neighborhood elevation pixels. The quality of the results was assessed by comparison with reference data for correctness of the estimated number of trees. The tree heights were calculated and evaluated with ground truth dataset. The results showed 80% correctness and 90% completeness.A difficult problem in forestry is tree inventory.In this study, a GoProHero attached to a small unmanned aerial vehicle was used to capture images of a small area covered by pinus pinea trees. Then, a digital surface model was generated with image matching. The elevation model representing the terrain surface, a ‘digital terrain model’,was extracted from the digital surface model using morphological filtering. Individual trees were extracted by analyzing elevation flow on the digital elevation model because the elevation reached the highest value on the tree peaks compared to the neighborhood elevation pixels. The quality of the results was assessed by comparison with reference data for correctness of the estimated number of trees. The tree heights were calculated and evaluated with ground truth dataset. The results showed 80% correctness and 90% completeness.

关 键 词：Tree detection Digital surface model Fish-eye camera PHOTOGRAMMETRY UAV 

分 类 号：S7[农业科学—林学]