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 sub-regions 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.
CITATION STYLE
Bohovic, R., Dobrovolny, P., & Klein, D. (2016). The spatial and temporal dynamics of remotely-sensed vegetation phenology in central Asia in the 1982-2011 period. European Journal of Remote Sensing, 49, 279–299. https://doi.org/10.5721/EuJRS20164916
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