GI_Forum 2019, Volume 7, Issue 2 Journal for Geographic Information Science
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |
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DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
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GI_Forum 2019, Volume 7, Issue 2 Journal for Geographic Information Science
ISSN 2308-1708 Online Edition ISBN 978-3-7001-8669-4 Online Edition
Stefan Reder,
Lilli Waßermann,
Jan-Peter Mund
S. 47 - 59 doi:10.1553/giscience2019_02_s47 Verlag der Österreichischen Akademie der Wissenschaften doi:10.1553/giscience2019_02_s47
Abstract: The aim of this study was to develop an easily applicable, cost-efficient workflow for tree height estimation in remote, inaccessible rainforest areas in Ecuador and Brazil. Structure from Motion (SfM) was combined with a digital terrain model (DTM) from the Shuttle Radar Topography Mission (SRTM) to complement relief information from photogrammetric point clouds (PPC) which represent the upper canopy layers. Based on ground points extracted from a 3D model, a vertical shift of the model was applied to adjust the ellipsoid level of the PPC. Digital surface models (DSM) of 22 research plots were normalized to canopy height models (CHM) to allow the estimation of relative tree heights in all research plots without using ground control points (GCP). The calculated tree height values indicate the applicability of the proposed workflow even in tropical rainforests with dense canopies. This approach allows the classification of canopy structures for identifying forest succession and other ecological forest monitoring purposes. The results highlight the potential of 3D models for tree height estimation derived from PPCs based on unmanned aerial vehicle (UAV) imagery in rainforest research. Keywords: unmanned aerial vehicle (UAV), rainforest, canopy height model (CHM), structure from motion (SfM), forest structure Published Online: 2019/12/11 13:26:33 Object Identifier: 0xc1aa5576 0x003b1744 Rights:https://creativecommons.org/licenses/by-nd/4.0/
GI_Forum publishes high quality original research across the transdisciplinary field of Geographic Information Science (GIScience). The journal provides a platform for dialogue among GI-Scientists and educators, technologists and critical thinkers in an ongoing effort to advance the field and ultimately contribute to the creation of an informed GISociety. Submissions concentrate on innovation in education, science, methodology and technologies in the spatial domain and their role towards a more just, ethical and sustainable science and society. GI_Forum implements the policy of open access publication after a double-blind peer review process through a highly international team of seasoned scientists for quality assurance. Special emphasis is put on actively supporting young scientists through formative reviews of their submissions. Only English language contributions are published.
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |