Machine learning for estimation of tree inventory parameters using terrestrial laser scanning, photogrammetry and UAV data
Poster
Paper/Presentation Title | Machine learning for estimation of tree inventory parameters using terrestrial laser scanning, photogrammetry and UAV data |
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Presentation Type | Poster |
Authors | Kuznetsov, Igor, Zhang, Zhenyu, Liu, Xiaoye and Subedi, Nab Raj |
Journal or Proceedings Title | Proceedings of the 2023 Asian Conference on Remote Sensing (ACRS 2023) |
Article Number | ACRS2023309 |
Number of Pages | 9 |
Year | 2023 |
Place of Publication | Taiwan |
Web Address (URL) of Conference Proceedings | https://acrs2023.tw/conference_proceedings.php |
Conference/Event | 2023 Asian Conference on Remote Sensing (ACRS2023) |
Event Details | 2023 Asian Conference on Remote Sensing (ACRS2023) Delivery In person Event Date 30 Oct 2023 to end of 03 Nov 2023 Event Location Taipei, Taiwan Event Venue Nangang International Exhibition Center, Hall2 Event Web Address (URL) |
Abstract | Accurate estimation of tree inventory parameters is crucial for promoting sustainable forest management, |
Keywords | Tree inventory parameter, Laser scanning, UAV, Photogrammetry, Machine learning |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 370499. Geoinformatics not elsewhere classified |
460502. Data mining and knowledge discovery | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Surveying and Built Environment |
https://research.usq.edu.au/item/z35xy/machine-learning-for-estimation-of-tree-inventory-parameters-using-terrestrial-laser-scanning-photogrammetry-and-uav-data
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