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Seamless integration of above-and undercanopy unmanned aerial vehicle laser scanning for forest investigation

Forest Ecosystems 2021年第1期8卷 124-138页

作者： Yunsheng Wang Antero Kukko Eric Hyyppä Teemu Hakala Jiri Pyörälä Matti Lehtomäki Aimad El Issaoui Xiaowei Yu Harri Kaartinen Xinlian Liang Juha Hyyppä Department of Remote Sensing and Photogrammetry Finnish Geospatial Research Institute FGIThe National Land Survey of Finland02431 MasalaFinland Department of Forest Sciences University of HelsinkiFI-00014 HelsinkiFinland Department of Geography and Geology University of TurkuFI-20500 TurkuFinland

Background:Current automated forest investigation is facing a dilemma over how to achieve high tree-and plotlevel completeness while maintaining a high cost and labor *** study tackles the challenge by exploring a new concept that enables an efficient fusion of aerial and terrestrial perspectives for digitizing and characterizing individual trees in forests through an Unmanned Aerial Vehicle(UAV)that flies above and under canopies in a single *** advantage of such concept is that the aerial perspective from the above-canopy UAV and the terrestrial perspective from the under-canopy UAV can be seamlessly integrated in one flight,thus grants the access to simultaneous high completeness,high efficiency,and low ***:In the experiment,an approximately 0.5 ha forest was covered in ca.10 min from takeoff to *** GNSS-IMU based positioning supports a geometric accuracy of the produced point cloud that is equivalent to that of the mobile mapping systems,which leads to a 2–4 cm RMSE of the diameter at the breast height estimates,and a 4–7 cm RMSE of the stem curve ***:Results of the experiment suggested that the integrated flight is capable of combining the high completeness of upper canopies from the above-canopy perspective and the high completeness of stems from the terrestrial ***,it is a solution to combine the advantages of the terrestrial static,the mobile,and the above-canopy UAV observations,which is a promising step forward to achieve a fully autonomous in situ forest *** studies should be aimed to further improve the platform positioning,and to automatize the UAV operation.

关键词： Forest In situ Inventory above canopy Under canopy Unmanned aerial vehicle Laser scanning Point cloud Close range remote sensing

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