UAV for mapping shrubland vegetation: Does fusion of spectral and vertical information derived from a single sensor increase the classification accuracy?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F19%3A79372" target="_blank" >RIV/60460709:41330/19:79372 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/abs/pii/S0303243418305981?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S0303243418305981?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jag.2018.10.009" target="_blank" >10.1016/j.jag.2018.10.009</a>
Alternative languages
Result language
angličtina
Original language name
UAV for mapping shrubland vegetation: Does fusion of spectral and vertical information derived from a single sensor increase the classification accuracy?
Original language description
High quality data on plant species occurrence count among the essential data sources for ecological research and conservation purposes. Ecologically valuable small grain mosaics of heterogeneous shrub and herbaceous formations however pose a challenging environment for creating such species occurrence maps. Remote sensing can be useful for such purposes, it however faces several challenges, especially the need of ultra high spatial resolution (centimeters) data and distinguishing between plant species or genera. Unmanned aerial vehicles (UAVs) are capable of producing data with sufficient resolution, their use for identification of plant species is however still largely unexplored. A fusion of spectral data with LiDAR derived vertical information can improve the classification accuracy, such a solution is however costly. A cheaper alternative of vertical data acquisition can be represented by the use of the structure from motion photogrammetry (SfM) utilizing the images taken for (multi hyper)spectra
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20705 - Remote sensing
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
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 Applied Earth Observation and Geoinformation
ISSN
0303-2434
e-ISSN
0303-2434
Volume of the periodical
75
Issue of the periodical within the volume
75
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
12
Pages from-to
151-162
UT code for WoS article
000452814800013
EID of the result in the Scopus database
2-s2.0-85062823060