The Spatial and Temporal Dynamics of Remotely-sensed Vegetation Phenology in Central Asia in the 1982-2011 Period
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F16%3A00466949" target="_blank" >RIV/86652079:_____/16:00466949 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14310/16:00090162
Result on the web
<a href="http://dx.doi.org/10.5721/EuJRS20164916" target="_blank" >http://dx.doi.org/10.5721/EuJRS20164916</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5721/EuJRS20164916" target="_blank" >10.5721/EuJRS20164916</a>
Alternative languages
Result language
angličtina
Original language name
The Spatial and Temporal Dynamics of Remotely-sensed Vegetation Phenology in Central Asia in the 1982-2011 Period
Original language description
An understanding of present and past vegetation dynamics is essential to future reaction strategies to climate change, especially in developing regions. This study seeks to widen such knowledge by utilizing remotely-sensed normalized difference vegetation index (NDVI) data to compute phenology metrics for Central Asia in the 1982-2011 period. Spatial and temporal analysis was performed for nine phenological metrics and for subregions with consistent vegetation dynamics. A general increase of biomass was disclosed, except in bare deserts, and the growing season appears to be starting earlier. Despite of the dominant greening trend, deserts show inverse dynamics, possibly a sign of rising aridity.
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
EH - Ecology - communities
OECD FORD branch
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Result continuities
Project
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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
European Journal of Remote Sensing
ISSN
2279-7254
e-ISSN
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Volume of the periodical
2016
Issue of the periodical within the volume
49
Country of publishing house
IT - ITALY
Number of pages
21
Pages from-to
279-299
UT code for WoS article
000380968700010
EID of the result in the Scopus database
2-s2.0-84986893064