Landsat Imagery Spectral Trajectories - Important Variables for Spatially Predicting the Risks of Bark Beetle Disturbance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F16%3A00463567" target="_blank" >RIV/67985939:_____/16:00463567 - isvavai.cz</a>
Alternative codes found
RIV/60077344:_____/16:00463567 RIV/60460709:41330/16:71171 RIV/60076658:12310/16:43890871 RIV/00216208:11310/16:10328356
Result on the web
<a href="http://dx.doi.org/10.3390/rs8080687" target="_blank" >http://dx.doi.org/10.3390/rs8080687</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/rs8080687" target="_blank" >10.3390/rs8080687</a>
Alternative languages
Result language
angličtina
Original language name
Landsat Imagery Spectral Trajectories - Important Variables for Spatially Predicting the Risks of Bark Beetle Disturbance
Original language description
In this study we introduce pre-disturbance spectral trajectories from Landsat Thematic Mapper (TM) imagery as an indicator of long-term stress into models of bark beetle infestation. Their inclusion improved models predictive ability. Wetness slope had the greatest predictive power, even relative to environmental predictors, and was relatively stable in its power over the years. The pre-disturbance spectral trajectories are valuable not only for assessing the risk of bark beetle infestation, but also for detection of long-term gradual changes even in non-forest ecosystems.
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
GK - Forestry
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LD15158" target="_blank" >LD15158: Modelling of large scale multi-agents disturbances in mountain spruce forests to assess their different scenarios</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Remote Sensing
ISSN
2072-4292
e-ISSN
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Volume of the periodical
8
Issue of the periodical within the volume
8
Country of publishing house
CH - SWITZERLAND
Number of pages
22
Pages from-to
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UT code for WoS article
000382458700073
EID of the result in the Scopus database
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