EVALUATION OF IPAD PRO 2020 LIDAR FOR ESTIMATING TREE DIAMETERS IN URBAN FOREST
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...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2021-09-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/VIII-4-W1-2021/105/2021/isprs-annals-VIII-4-W1-2021-105-2021.pdf |
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| author | X. Wang X. Wang A. Singh Y. Pervysheva K. E. Lamatungga V. Murtinová M. Mukarram M. Mukarram Q. Zhu K. Song P. Surový M. Mokroš M. Mokroš |
| author_facet | X. Wang X. Wang A. Singh Y. Pervysheva K. E. Lamatungga V. Murtinová M. Mukarram M. Mukarram Q. Zhu K. Song P. Surový M. Mokroš M. Mokroš |
| author_sort | X. Wang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-22T01:39:53Z |
| format | Article |
| id | doaj.art-f48608fbffb749438b77ea482d5642a2 |
| institution | Directory Open Access Journal |
| issn | 2194-9042 2194-9050 |
| language | English |
| last_indexed | 2024-12-22T01:39:53Z |
| publishDate | 2021-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-f48608fbffb749438b77ea482d5642a22022-12-21T18:43:16ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502021-09-01VIII-4-W1-202110511010.5194/isprs-annals-VIII-4-W1-2021-105-2021EVALUATION OF IPAD PRO 2020 LIDAR FOR ESTIMATING TREE DIAMETERS IN URBAN FORESTX. Wang0X. Wang1A. Singh2Y. Pervysheva3K. E. Lamatungga4V. Murtinová5M. Mukarram6M. Mukarram7Q. Zhu8K. Song9P. Surový10M. Mokroš11M. Mokroš12School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, ChinaDepartment of Forest Harvesting, Logistics and Ameliorations, Faculty of Forestry, Technical University in Zvolen, SlovakiaFaculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague, Czech RepublicDepartment of Geoinformation Technologies and Space Monitoring of the Earth, National Aerospace University "Kharkiv Aviation Institute", UkraineDepartment of Natural Environment, Faculty of Forestry, Technical University in Zvolen, SlovakiaDepartment of Applied Ecology, Faculty of Ecology and Environmental Sciences, Technical University in Zvolen, SlovakiaAdvance Plant Physiology Section, Department of Botany, Aligarh Muslim University, Aligarh, IndiaDepartment of Integrated Forest and Landscape Protection, Faculty of Forestry, Technical University in Zvolen, SlovakiaSchool of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, ChinaSchool of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, ChinaFaculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague, Czech RepublicDepartment of Forest Harvesting, Logistics and Ameliorations, Faculty of Forestry, Technical University in Zvolen, SlovakiaFaculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague, Czech RepublicRemote 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.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/VIII-4-W1-2021/105/2021/isprs-annals-VIII-4-W1-2021-105-2021.pdf |
| spellingShingle | X. Wang X. Wang A. Singh Y. Pervysheva K. E. Lamatungga V. Murtinová M. Mukarram M. Mukarram Q. Zhu K. Song P. Surový M. Mokroš M. Mokroš EVALUATION OF IPAD PRO 2020 LIDAR FOR ESTIMATING TREE DIAMETERS IN URBAN FOREST ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | EVALUATION OF IPAD PRO 2020 LIDAR FOR ESTIMATING TREE DIAMETERS IN URBAN FOREST |
| title_full | EVALUATION OF IPAD PRO 2020 LIDAR FOR ESTIMATING TREE DIAMETERS IN URBAN FOREST |
| title_fullStr | EVALUATION OF IPAD PRO 2020 LIDAR FOR ESTIMATING TREE DIAMETERS IN URBAN FOREST |
| title_full_unstemmed | EVALUATION OF IPAD PRO 2020 LIDAR FOR ESTIMATING TREE DIAMETERS IN URBAN FOREST |
| title_short | EVALUATION OF IPAD PRO 2020 LIDAR FOR ESTIMATING TREE DIAMETERS IN URBAN FOREST |
| title_sort | evaluation of ipad pro 2020 lidar for estimating tree diameters in urban forest |
| url | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/VIII-4-W1-2021/105/2021/isprs-annals-VIII-4-W1-2021-105-2021.pdf |
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