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Structure from Motion Photogrammetry in Forestry: a Review
Current Forestry Reports, Volume: 5, Issue: 3, Pages: 155 - 168
Swansea University Authors:
Jakob Iglhaut, Jacqueline Rosette
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DOI (Published version): 10.1007/s40725-019-00094-3
Abstract
AbstractPurpose of ReviewThe adoption of Structure from Motion photogrammetry (SfM) is transforming the acquisition of three-dimensional (3D) remote sensing (RS) data in forestry. SfM photogrammetry enables surveys with little cost and technical expertise. We present the theoretical principles and p...
Published in: | Current Forestry Reports |
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ISSN: | 2198-6436 |
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2019
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URI: | https://cronfa.swan.ac.uk/Record/cronfa51276 |
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2019-08-07T15:07:01.4170617 v2 51276 2019-07-31 Structure from Motion Photogrammetry in Forestry: a Review 79de14ee696e248dfb744d5b82e38535 Jakob Iglhaut Jakob Iglhaut true false 0307f116e8f87a83cf4080c493fb7590 0000-0002-2589-0244 Jacqueline Rosette Jacqueline Rosette true false 2019-07-31 SGE AbstractPurpose of ReviewThe adoption of Structure from Motion photogrammetry (SfM) is transforming the acquisition of three-dimensional (3D) remote sensing (RS) data in forestry. SfM photogrammetry enables surveys with little cost and technical expertise. We present the theoretical principles and practical considerations of this technology and show opportunities that SfM photogrammetry offers for forest practitioners and researchers.Recent FindingsOur examples of key research indicate the successful application of SfM photogrammetry in forestry, in an operational context and in research, delivering results that are comparable to LiDAR surveys. Reviewed studies have identified possibilities for the extraction of biophysical forest parameters from airborne and terrestrial SfM point clouds and derived 2D data in area-based approaches (ABA) and individual tree approaches. Additionally, increases in the spatial and spectral resolution of sensors available for SfM photogrammetry enable forest health assessment and monitoring. The presented research reveals that coherent 3D data and spectral information, as provided by the SfM workflow, promote opportunities to derive both structural and physiological attributes at the individual tree crown (ITC) as well as stand levels.SummaryWe highlight the potential of using unmanned aerial vehicles (UAVs) and consumer-grade cameras for terrestrial SfM-based surveys in forestry. Offering several spatial products from a single sensor, the SfM workflow enables foresters to collect their own fit-for-purpose RS data. With the broad availability of non-expert SfM software, we provide important practical considerations for the collection of quality input image data to enable successful photogrammetric surveys. Journal Article Current Forestry Reports 5 3 155 168 2198-6436 SfM Point cloud UAV Close-range photogrammetry (CRP) Forest inventory Forest health 16 7 2019 2019-07-16 10.1007/s40725-019-00094-3 https://link.springer.com/article/10.1007/s40725-019-00094-3?wt_mc=alerts.TOCjournals&utm_source=toc&utm_medium=email&utm_campaign=toc_40725_5_3 COLLEGE NANME Geography COLLEGE CODE SGE Swansea University 2019-08-07T15:07:01.4170617 2019-07-31T10:04:47.8230000 Jakob Iglhaut 1 Carlos Cabo 2 Stefano Puliti 3 Livia Piermattei 4 James O’Connor 5 Jacqueline Rosette 0000-0002-2589-0244 6 0051276-31072019100626.pdf 51276.pdf 2019-07-31T10:06:26.4930000 Output 3011358 application/pdf Version of Record true 2019-07-30T00:00:00.0000000 Released under the terms of a Creative Commons Attribution 4.0 International License (CC-BY). true eng |
title |
Structure from Motion Photogrammetry in Forestry: a Review |
spellingShingle |
Structure from Motion Photogrammetry in Forestry: a Review Jakob Iglhaut Jacqueline Rosette |
title_short |
Structure from Motion Photogrammetry in Forestry: a Review |
title_full |
Structure from Motion Photogrammetry in Forestry: a Review |
title_fullStr |
Structure from Motion Photogrammetry in Forestry: a Review |
title_full_unstemmed |
Structure from Motion Photogrammetry in Forestry: a Review |
title_sort |
Structure from Motion Photogrammetry in Forestry: a Review |
author_id_str_mv |
79de14ee696e248dfb744d5b82e38535 0307f116e8f87a83cf4080c493fb7590 |
author_id_fullname_str_mv |
79de14ee696e248dfb744d5b82e38535_***_Jakob Iglhaut 0307f116e8f87a83cf4080c493fb7590_***_Jacqueline Rosette |
author |
Jakob Iglhaut Jacqueline Rosette |
author2 |
Jakob Iglhaut Carlos Cabo Stefano Puliti Livia Piermattei James O’Connor Jacqueline Rosette |
format |
Journal article |
container_title |
Current Forestry Reports |
container_volume |
5 |
container_issue |
3 |
container_start_page |
155 |
publishDate |
2019 |
institution |
Swansea University |
issn |
2198-6436 |
doi_str_mv |
10.1007/s40725-019-00094-3 |
url |
https://link.springer.com/article/10.1007/s40725-019-00094-3?wt_mc=alerts.TOCjournals&utm_source=toc&utm_medium=email&utm_campaign=toc_40725_5_3 |
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active_str |
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description |
AbstractPurpose of ReviewThe adoption of Structure from Motion photogrammetry (SfM) is transforming the acquisition of three-dimensional (3D) remote sensing (RS) data in forestry. SfM photogrammetry enables surveys with little cost and technical expertise. We present the theoretical principles and practical considerations of this technology and show opportunities that SfM photogrammetry offers for forest practitioners and researchers.Recent FindingsOur examples of key research indicate the successful application of SfM photogrammetry in forestry, in an operational context and in research, delivering results that are comparable to LiDAR surveys. Reviewed studies have identified possibilities for the extraction of biophysical forest parameters from airborne and terrestrial SfM point clouds and derived 2D data in area-based approaches (ABA) and individual tree approaches. Additionally, increases in the spatial and spectral resolution of sensors available for SfM photogrammetry enable forest health assessment and monitoring. The presented research reveals that coherent 3D data and spectral information, as provided by the SfM workflow, promote opportunities to derive both structural and physiological attributes at the individual tree crown (ITC) as well as stand levels.SummaryWe highlight the potential of using unmanned aerial vehicles (UAVs) and consumer-grade cameras for terrestrial SfM-based surveys in forestry. Offering several spatial products from a single sensor, the SfM workflow enables foresters to collect their own fit-for-purpose RS data. With the broad availability of non-expert SfM software, we provide important practical considerations for the collection of quality input image data to enable successful photogrammetric surveys. |
published_date |
2019-07-16T04:03:06Z |
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1763753262058569728 |
score |
11.021648 |