Phenological Patterns for Central Asia. Vegetation Dynamics by the Means of Remote Sensing

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F11%3A00052802" target="_blank" >RIV/00216224:14310/11:00052802 - isvavai.cz</a>
Result on the web
<a href="http://www.earsel.org/symposia//2011-symposium-Prague/Proceedings/index.htm" target="_blank" >http://www.earsel.org/symposia//2011-symposium-Prague/Proceedings/index.htm</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Phenological Patterns for Central Asia. Vegetation Dynamics by the Means of Remote Sensing
Original language description
Phenology is an important indicator for climate conditions. Thus studying vegetation dynamics could lead to a better understanding of present and future climate changes. For assessing of vegetation dynamics on a regional scale remote sensing is currentlythe only method that offers at the same time the possibility for continuous monitoring over long time spans. In this study, we extracted and analyzed phenological parameters from remotely sensed time series data for Central Asia at different scales. Atregional (Central Asia) level time series of the Normalized Difference Vegetation Index (NDVI) from the Global Inventory Modeling and Mapping Studies (GIMMS) derived from imagery of the Advanced Very High Resolution Radiometer (AVHRR) instrument were utilized. These data cover a time period of 25 years (1982-2006) and have a spatial resolution of 8 km.
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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