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Aerial and Terrestrial Photogrammetric Point Cloud Fusion for Intensive Forest Monitoring

    Stuart Krause

GI_Forum 2019, Volume 7, Issue 2, pp. 60-72, 2019/12/11

Journal for Geographic Information Science

doi: 10.1553/giscience2019_02_s60

doi: 10.1553/giscience2019_02_s60


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doi:10.1553/giscience2019_02_s60



doi:10.1553/giscience2019_02_s60

Abstract

Remote sensing methods for forest monitoring are evolving rapidly thanks to recent advances in Unmanned Aerial Vehicle technology and digital photogrammetry. Photogrammetric point clouds allow the non-destructive derivation of individual tree parameters at a low cost. The fusion of aerial and terrestrial photogrammetry for creating full-tree point clouds is of utility for forest research, as tree volume could be assessed more economically and efficiently than by traditional methods. However, this is challenging to implement due to difficulties with co-registration and issues of occlusion. This study explores the possibility of using spherical targets typically used for Terrestrial Laser Scanning to accomplish the co-registration of UAV-based and terrestrial photogrammetric datasets. Results show a full-tree point cloud derived from UAV oblique imagery in combination with terrestrial imagery. Despite issues of noise produced from the sky in terrestrial imagery, the methodology is promising for aerial and terrestrial point cloud fusion.

Keywords: point cloud fusion, UAV, terrestrial imagery, photogrammetry

Published Online: 2019/12/11 13:46:48

Object Identifier: 0xc1aa5572 0x003b1755

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Rights: https://creativecommons.org/licenses/by-nd/4.0/