Evaluation of Close-Range Photogrammetry Image Collection Methods for Estimating Tree Diameters
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F18%3A77721" target="_blank" >RIV/60460709:41320/18:77721 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.3390/ijgi7030093" target="_blank" >http://dx.doi.org/10.3390/ijgi7030093</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/ijgi7030093" target="_blank" >10.3390/ijgi7030093</a>
Alternative languages
Result language
angličtina
Original language name
Evaluation of Close-Range Photogrammetry Image Collection Methods for Estimating Tree Diameters
Original language description
The potential of close-range photogrammetry (CRP) to compete with terrestrial laser scanning (TLS) to produce dense and accurate point clouds has increased in recent years. The use of CRP for estimating tree diameter at breast height (DBH) has multiple advantages over TLS. For example, point clouds from CRP are similar to TLS, but hardware costs are significantly lower. However, a number of data collection issues need to be clarified before the use of CRP in forested areas is considered effective. In this paper we focused on different CRP data collection methods to estimate DBH. We present seven methods that differ in camera orientation, shooting mode, data collection path, and other important factors. The methods were tested on a research plot comprised of European beeches (Fagus sylvatica L.). The circle-fitting algorithm was used to estimate DBH. Four of the seven methods were capable of producing a dense point cloud. The tree detection rate varied from 49% to 81%. Estimates of DBH produced a root
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
40102 - Forestry
Result continuities
Project
<a href="/en/project/EF16_019%2F0000803" target="_blank" >EF16_019/0000803: Advanced research supporting the forestry and wood-processing sector´s adaptation to global change and the 4th industrial revolution</a><br>
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
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
ISSN
2220-9964
e-ISSN
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Volume of the periodical
7
Issue of the periodical within the volume
3
Country of publishing house
CH - SWITZERLAND
Number of pages
13
Pages from-to
1-13
UT code for WoS article
000428557700014
EID of the result in the Scopus database
2-s2.0-85044540157