International Benchmarking of Terrestrial Image-based Point Clouds for Forestry

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F20%3A84903" target="_blank" >RIV/60460709:41320/20:84903 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.isprs.org/society/si/SI-2019/TC3-Report_International_Benchmarking_of_terrestrial_Image-based_Point_Clouds_for_Forestry.pdf" target="_blank" >https://www.isprs.org/society/si/SI-2019/TC3-Report_International_Benchmarking_of_terrestrial_Image-based_Point_Clouds_for_Forestry.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

International Benchmarking of Terrestrial Image-based Point Clouds for Forestry

Popis výsledku v původním jazyce

The project aims to evaluate the performance of terrestrial image-based point clouds in plot-level forest inventory through an international benchmarking. Furthermore, to investigate whether the image-based point clouds can be an alternative solution to the more expensive terrestrial laser scanning (TLS) derived point clouds. In recent years, the photogrammetric technique based on structure from motion (SfM) and dense image matching showed the capability of generating accurate dense point clouds from different platforms and for different purposes. However, the implementation of this technology in real forest environments is practically challenging due to the difficulty of correspondence recognition in complex forest stands. Based on recent studies on TLS, it is recognised that terrestrial point clouds are competitive for the estimation of tree characteristics such as the stem curve and the stem volume, which are hardly achievable with non-destructive measurements. Several applications showed the similarity of TLS and terrestrial image-based point clouds. Moreover, for a practical use, the terrestrial photogrammetry offers a cheaper and lighter equipment (i.e. handheld camera) in comparison with the TLS. Data acquisition for photogrammetric point clouds also requires less expertise. The main differences between the image- and TLS-based point clouds include the geometric precision, the point density, the noise ratio and the plot coverage, which might lead to differences on the measurements of tree attributes such as the tree position and the diameter at breast height (DBH). Thus, an essential question for image-based point cloud is - in which forest stand condition and with what strategy of image acquisition can the image-based point clouds carry out a similar performance as TLS for tree detection and modeling? To answer such question, we acquire the image-based point clouds of ten typical forest plots situated in five different countries (two in each country), namely: Austria, China, Czech Republic, Finland and Slovakia. These test plots differ in size, tree species composition, density, shape (i.e. circular, square, rectangle) and the amount of understory. Engaged participants from the five countries are going to conduct the image acquisition and point cloud generation for the test plots in their own country. In the end, image-based point clouds of ten test plots will be available for benchmarking. All participants will process the point cloud data of all test plots with their own algorithm for tree mapping and modeling. The results of partners will be evaluated with respect to field collected reference as well as TLS data. Findings of the project will be published in the ISPRS journal and in application oriented forest journals (i.e., country specific forest journals). The findings of this study will be presented in different ISPRS conferences / workshops. Furthermore, images and point clouds collected for the project will be opened for non-commercial uses of all interested communities.

Název v anglickém jazyce

International Benchmarking of Terrestrial Image-based Point Clouds for Forestry

Popis výsledku anglicky

The project aims to evaluate the performance of terrestrial image-based point clouds in plot-level forest inventory through an international benchmarking. Furthermore, to investigate whether the image-based point clouds can be an alternative solution to the more expensive terrestrial laser scanning (TLS) derived point clouds. In recent years, the photogrammetric technique based on structure from motion (SfM) and dense image matching showed the capability of generating accurate dense point clouds from different platforms and for different purposes. However, the implementation of this technology in real forest environments is practically challenging due to the difficulty of correspondence recognition in complex forest stands. Based on recent studies on TLS, it is recognised that terrestrial point clouds are competitive for the estimation of tree characteristics such as the stem curve and the stem volume, which are hardly achievable with non-destructive measurements. Several applications showed the similarity of TLS and terrestrial image-based point clouds. Moreover, for a practical use, the terrestrial photogrammetry offers a cheaper and lighter equipment (i.e. handheld camera) in comparison with the TLS. Data acquisition for photogrammetric point clouds also requires less expertise. The main differences between the image- and TLS-based point clouds include the geometric precision, the point density, the noise ratio and the plot coverage, which might lead to differences on the measurements of tree attributes such as the tree position and the diameter at breast height (DBH). Thus, an essential question for image-based point cloud is - in which forest stand condition and with what strategy of image acquisition can the image-based point clouds carry out a similar performance as TLS for tree detection and modeling? To answer such question, we acquire the image-based point clouds of ten typical forest plots situated in five different countries (two in each country), namely: Austria, China, Czech Republic, Finland and Slovakia. These test plots differ in size, tree species composition, density, shape (i.e. circular, square, rectangle) and the amount of understory. Engaged participants from the five countries are going to conduct the image acquisition and point cloud generation for the test plots in their own country. In the end, image-based point clouds of ten test plots will be available for benchmarking. All participants will process the point cloud data of all test plots with their own algorithm for tree mapping and modeling. The results of partners will be evaluated with respect to field collected reference as well as TLS data. Findings of the project will be published in the ISPRS journal and in application oriented forest journals (i.e., country specific forest journals). The findings of this study will be presented in different ISPRS conferences / workshops. Furthermore, images and point clouds collected for the project will be opened for non-commercial uses of all interested communities.

Druh

V_souhrn - Souhrnná výzkumná zpráva

CEP obor

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OECD FORD obor

40102 - Forestry

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Počet stran výsledku

12

Místo vydání

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Název nakladatele resp. objednatele

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Verze

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