Mapping Forest Structure Using UAS inside Flight Capabilities
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F18%3A78173" target="_blank" >RIV/60460709:41320/18:78173 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.3390/s18072245" target="_blank" >http://dx.doi.org/10.3390/s18072245</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s18072245" target="_blank" >10.3390/s18072245</a>
Alternative languages
Result language
angličtina
Original language name
Mapping Forest Structure Using UAS inside Flight Capabilities
Original language description
We evaluated two unmanned aerial systems (UASs), namely the DJI Phantom 4 Pro and DJI Mavic Pro, for 3D forest structure mapping of the forest stand interior with the use of close-range photogrammetry techniques. Assisted flights were performed within two research plots established in mature pure Norway spruce (Picea abies (L.) H. Karst.) and European beech (Fagus sylvatica L.) forest stands. Geotagged images were used to produce georeferenced 3D point clouds representing tree stem surfaces. With a flight height of 8 m above the ground, the stems were precisely modeled up to a height of 10 m, which represents a considerably larger portion of the stem when compared with terrestrial close-range photogrammetry. Accuracy of the point clouds was evaluated by comparing field-measured tree diameters at breast height (DBH) with diameter estimates derived from the point cloud using four different fitting methods, including the bounding circle, convex hull, least squares circle, and least squares ellipse metho
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20705 - Remote sensing
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
SENSORS
ISSN
1424-8220
e-ISSN
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Volume of the periodical
18
Issue of the periodical within the volume
7
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
13
Pages from-to
1-13
UT code for WoS article
000441334300267
EID of the result in the Scopus database
2-s2.0-85050071314