3D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027073%3A_____%2F17%3AN0000009" target="_blank" >RIV/00027073:_____/17:N0000009 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/62156489:43410/17:43913027
Výsledek na webu
<a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0176871" target="_blank" >http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0176871</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1371/journal.pone.0176871" target="_blank" >10.1371/journal.pone.0176871</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
3D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR
Popis výsledku v původním jazyce
Terrestrial laser scanning is a powerful technology for capturing the three-dimensional structure of forests with a high level of detail and accuracy. Over the last decade, many algorithms have been developed to extract various tree parameters from terrestrial laser scanning data. Here we present 3D Forest, an open-source non-platform-specific software application with an easy-to-use graphical user interface with the compilation of algorithms focused on the forest environment and extraction of tree parameters. The current version (0.42) extracts important parameters of forest structure from the terrestrial laser scanning data, such as stem positions (X, Y, Z), tree heights, diameters at breast height (DBH), as well as more advanced parameters such as tree planar projections, stem profiles or detailed crown parameters including convex and concave crown surface and volume. Moreover, 3D Forest provides quantitative measures of between-crown interactions and their real arrangement in 3D space. 3D Forest also includes an original algorithm of automatic tree segmentation and crown segmentation. Comparison with field data measurements showed no significant difference in measuring DBH or tree height using 3D Forest, although for DBH only the Randomized Hough Transform algorithm proved to be sufficiently resistant to noise and provided results comparable to traditional field measurements.
Název v anglickém jazyce
3D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR
Popis výsledku anglicky
Terrestrial laser scanning is a powerful technology for capturing the three-dimensional structure of forests with a high level of detail and accuracy. Over the last decade, many algorithms have been developed to extract various tree parameters from terrestrial laser scanning data. Here we present 3D Forest, an open-source non-platform-specific software application with an easy-to-use graphical user interface with the compilation of algorithms focused on the forest environment and extraction of tree parameters. The current version (0.42) extracts important parameters of forest structure from the terrestrial laser scanning data, such as stem positions (X, Y, Z), tree heights, diameters at breast height (DBH), as well as more advanced parameters such as tree planar projections, stem profiles or detailed crown parameters including convex and concave crown surface and volume. Moreover, 3D Forest provides quantitative measures of between-crown interactions and their real arrangement in 3D space. 3D Forest also includes an original algorithm of automatic tree segmentation and crown segmentation. Comparison with field data measurements showed no significant difference in measuring DBH or tree height using 3D Forest, although for DBH only the Randomized Hough Transform algorithm proved to be sufficiently resistant to noise and provided results comparable to traditional field measurements.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
40102 - Forestry
Návaznosti výsledku
Projekt
<a href="/cs/project/GA15-23242S" target="_blank" >GA15-23242S: Fungují zákony metabolické teorie v evropských temperátních přirozených lesích? Testování v různém prostorovém měřítku.</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
PLOS ONE
ISSN
1932-6203
e-ISSN
—
Svazek periodika
12
Číslo periodika v rámci svazku
5
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
17
Strana od-do
nestrankovano
Kód UT WoS článku
000400648500090
EID výsledku v databázi Scopus
—