Publication details
Vegetation Phenology in Central Asia by the Means of Remote Sensing
| Authors | |
|---|---|
| Year of publication | 2013 |
| Type | Article in Proceedings |
| Conference | Global Change and Resilience From Impacts To Responses |
| MU Faculty or unit | |
| Citation | |
| Keywords | Central Asia, phenology, NDVI, remote sensing |
| Description | Analyses of phenological parameters can be used as indicators for climate change. Vice versa, diff erent climate conditions drive changes in the vegetation cycle that could be monitored on a time series of satellite images. For the assessment of vegetation dynamics on a regional scale remote sensing is the only method that can provide this information and at the same time which has the potential for continuous monitoring over long time spans. The most widely used indicator connected to vegetation activity is the Normalized Diff erence Vegetation Index (NDVI), which can be used for the calculation of diff erent parameters of phenology. For fi ltering time series and deriving phenology indices TIMESAT soft ware is used. Phenology data were produced for the whole of Central Asia for 30 years (1982–2011) using NOAA AVHRR GIMMS 8km datasets with a spatial resolution of 8 km. These data have been analyzed and patterns of vegetation phenology described. The dynamics over the past 30 years in Central Asia have been investigated. Consequently, impacts of climate change on phenology and means of its possible prediction are discussed. |