Composite indicator for monitoring of Norway spruce stand decline
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F17%3A00481095" target="_blank" >RIV/86652079:_____/17:00481095 - isvavai.cz</a>
Alternative codes found
RIV/60076658:12220/17:43896458
Result on the web
<a href="http://dx.doi.org/10.1080/22797254.2017.1372697" target="_blank" >http://dx.doi.org/10.1080/22797254.2017.1372697</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/22797254.2017.1372697" target="_blank" >10.1080/22797254.2017.1372697</a>
Alternative languages
Result language
angličtina
Original language name
Composite indicator for monitoring of Norway spruce stand decline
Original language description
The study is aimed to explore the potential of time-series airborne hyperspectral and satellite multispectral data to track the changes in spruce forest decline expressed by a composite spruce decline indicator. Vegetation indices and exergy of solar radiation extracted from remote sensing data are used to predict the development of the composite spruce health indicator. The canopy-level spectral reflectance properties of spruce stands are investigated to identify categories of spruce stand decline: healthy, initial decline, and initial to moderate decline. The sensitivity peaks for initial decline and initial to moderate decline of spruce are shown. The highest potential for the estimation of the composite spruce health indicator is demonstrated by vegetation indices WBI and NDVIred_edge from airborne hyperspectral data, and by PSRI, NDII and exergy of solar radiation from Landsat and Sentinel-2 satellite multispectral data. MODIS data show only a poor correlation between the composite spruce stand health indicator and NDII index. The proposed methodology to obtain the distribution of the composite spruce decline indicator using remote sensing (RS) data promisingly suggests its applicability over a large forest area with potential time and economic benefits, since foliar spectral measurements, canopy chemistry, and laboratory analysis are not required.
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
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
European Journal of Remote Sensing
ISSN
2279-7254
e-ISSN
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Volume of the periodical
50
Issue of the periodical within the volume
1
Country of publishing house
IT - ITALY
Number of pages
14
Pages from-to
550-563
UT code for WoS article
000410696600006
EID of the result in the Scopus database
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