ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume VIII-4/W1-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-4/W1-2021, 105–110, 2021
https://doi.org/10.5194/isprs-annals-VIII-4-W1-2021-105-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-4/W1-2021, 105–110, 2021
https://doi.org/10.5194/isprs-annals-VIII-4-W1-2021-105-2021

  03 Sep 2021

03 Sep 2021

EVALUATION OF IPAD PRO 2020 LIDAR FOR ESTIMATING TREE DIAMETERS IN URBAN FOREST

X. Wang1,2, A. Singh3, Y. Pervysheva4, K. E. Lamatungga5, V. Murtinová6, M. Mukarram7,8, Q. Zhu1, K. Song1, P. Surový3, and M. Mokroš2,3 X. Wang et al.
  • 1School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China
  • 2Department of Forest Harvesting, Logistics and Ameliorations, Faculty of Forestry, Technical University in Zvolen, Slovakia
  • 3Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague, Czech Republic
  • 4Department of Geoinformation Technologies and Space Monitoring of the Earth, National Aerospace University "Kharkiv Aviation Institute", Ukraine
  • 5Department of Natural Environment, Faculty of Forestry, Technical University in Zvolen, Slovakia
  • 6Department of Applied Ecology, Faculty of Ecology and Environmental Sciences, Technical University in Zvolen, Slovakia
  • 7Advance Plant Physiology Section, Department of Botany, Aligarh Muslim University, Aligarh, India
  • 8Department of Integrated Forest and Landscape Protection, Faculty of Forestry, Technical University in Zvolen, Slovakia

Keywords: iPad Pro 2020, LiDAR, Diameter at Breast Height, point cloud, Circle fitting, Urban Forest

Abstract. Remote Sensing (RS) techniques are increasingly used in urban tree inventory measurements for their improved accuracy and promptness over the conventional methods. The focus of this study is to evaluate the application of iPad Pro 2020 and its LiDAR sensor for urban trees reconstruction and Diameter at Breast Height (DBH) measurements. Altogether, 101 trees were scanned. We have used individual- and multiple-tree scan modes with different settings (Resolution: 10 mm, 15 mm, 20 mm; Confidence: High, Low). With these methods and settings, we have established 12 combinations. The 3DScannerAPP was used to scan and generate point clouds and to estimate DBH circle-fitting algorithm was used within the DendroCloud software. Among 12 methods, the only method with 10 mm resolution, high confidence, and multiple-tree mode has not achieved a 100% detection rate (97%). For multiple-tree mode, the highest estimation accuracy was 7.52% of relative RMSE, and for single-tree mode, it was 7.27%. Low confidence setting had significantly higher accuracy of DBH estimation than high confidence. Furthermore, single-tree mode had a significantly higher accuracy of DBH estimation than multiple-tree mode. The most efficient combination for DBH estimation of urban trees using 3DScannerAPP within iPad Pro 2020, when time and accuracy is considered, was multiple-tree mode with 15 mm resolution and low confidence.