Unmanned aerial vehicles (UAV) for assessment of qualitative classification of Norway spruce in temperate forest stands
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F18%3A78165" target="_blank" >RIV/60460709:41320/18:78165 - isvavai.cz</a>
Alternative codes found
RIV/86652079:_____/18:00492799 RIV/62156489:43410/18:43913002
Result on the web
<a href="http://dx.doi.org/10.1080/10095020.2017.1416994" target="_blank" >http://dx.doi.org/10.1080/10095020.2017.1416994</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/10095020.2017.1416994" target="_blank" >10.1080/10095020.2017.1416994</a>
Alternative languages
Result language
angličtina
Original language name
Unmanned aerial vehicles (UAV) for assessment of qualitative classification of Norway spruce in temperate forest stands
Original language description
The study investigates the potential of UAV-based remote sensing technique for monitoring of Norway spruce health condition in the affected forest areas. The objectives are: (1) to test the applicability of UAV visible an near-infrared (VNIR) and geometrical data based on Z values of point dense cloud (PDC) raster to separate forest species and dead trees in the study area, (2) to explore the relationship between UAV VNIR data and individual spruce health indicators from field sampling, and (3) to explore the possibility of the qualitative classification of spruce health indicators. Analysis based on NDVI and PDC raster was successfully applied for separation of spruce and silver fir, and for identification of dead tree category. Separation between common beech and fir was distinguished by the object-oriented image analysis. NDVI was able to identify the presence of key indicators of spruce health, such as mechanical damage on stems and stem resin exudation linked to honey fungus infestation, while s
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
<a href="/en/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 – Development of the Centre of Global Climate Change Impacts Studies</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
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
Geo-Spatial Information Science
ISSN
1009-5020
e-ISSN
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Volume of the periodical
21
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
9
Pages from-to
12-20
UT code for WoS article
000433052500003
EID of the result in the Scopus database
2-s2.0-85048046148