Remote sensing as a tool for monitoring plant invasions: Testing the effects of data resolution and image classification approach on the detection of a model plant species Heracleum mantegazzianum (giant hogweed)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F13%3A10191557" target="_blank" >RIV/00216208:11310/13:10191557 - isvavai.cz</a>
Alternative codes found
RIV/67985939:_____/13:00397795
Result on the web
<a href="http://dx.doi.org/10.1016/j.jag.2013.03.004" target="_blank" >http://dx.doi.org/10.1016/j.jag.2013.03.004</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jag.2013.03.004" target="_blank" >10.1016/j.jag.2013.03.004</a>
Alternative languages
Result language
angličtina
Original language name
Remote sensing as a tool for monitoring plant invasions: Testing the effects of data resolution and image classification approach on the detection of a model plant species Heracleum mantegazzianum (giant hogweed)
Original language description
Plant invasions represent a threat not only to biodiversity and ecosystem functioning but also to the character of traditional landscapes. Despite the worldwide efforts to control and eradicate invasive species, their menace grows. New techniques enabling fast and precise monitoring and providing information on spatial structure of invasions are needed for efficient management strategies to be implemented. We present remote sensing assessment of a noxious invasive species Heracleum mantegazzianum (gianthogweed) that integrates different data sources, spatial and spectral resolutions, and image processing techniques. Panchromatic, multispectral and color very high spatial resolution (VHR) aerial photography (1947-2006, resolution 0.5 m), and medium spatial resolution satellite data (Rapid Eye 2010, resolution 5 m) were analyzed to assess their potential for hogweed monitoring by using pixel- (both supervised and unsupervised) and object-based image analysis (OBIA, automated hierarchica
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EF - Botany
OECD FORD branch
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Result continuities
Project
<a href="/en/project/IAA600050811" target="_blank" >IAA600050811: Invasion by Heracleum mantegazzianum: the role of time and spatial scales</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
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
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Volume of the periodical
25
Issue of the periodical within the volume
December
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
11
Pages from-to
55-65
UT code for WoS article
000322099700007
EID of the result in the Scopus database
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