Estimation of positions and heights from UAV-sensed imagery in tree plantations in agrosilvopastoral systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F18%3A78169" target="_blank" >RIV/60460709:41320/18:78169 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1080/01431161.2018.1434329" target="_blank" >http://dx.doi.org/10.1080/01431161.2018.1434329</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/01431161.2018.1434329" target="_blank" >10.1080/01431161.2018.1434329</a>
Alternative languages
Result language
angličtina
Original language name
Estimation of positions and heights from UAV-sensed imagery in tree plantations in agrosilvopastoral systems
Original language description
Plantations of typical Mediterranean tree species, such as cork oak(Quercus suber L.), holm oak (Quercus ilex L.), and umbrella pine (Pinus pinea L.), are important for the restoration of forest ecosystems in the region. While traditional forest inventories can provide early problem detection in these plantations, the cost and labour of the required fieldwork may exceed its potential benefits. Unmanned aerial vehicles (UAVs) provide a cheap and practical alternative to traditional inventories and individual tree measurement. We present a method to estimate heights and positions of individual trees, from remotely sensed imagery, obtained using a low-flying UAV with an integrated RGB sensor. In the summer of 2015, a 5ha stand at the University of Evora was photographed with a low-flying (40m) hexacopter. A 3D point cloud and orthophoto were created from the images. The point cloud was used to identify local maxima as candidates for tree positions and height estimates. Results showed that the height mea
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
INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN
0143-1161
e-ISSN
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Volume of the periodical
39
Issue of the periodical within the volume
14
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
15
Pages from-to
4786-4800
UT code for WoS article
000441646800013
EID of the result in the Scopus database
2-s2.0-85041554673