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
Vegetation phenology has been used in studies as an indicator of an ecosystem’s responses to climate...
Greening and browning trends in vegetation have been observed in many regions of the world in recent...
Satellite datasets have revealed significant greening and soil drying in arid Central Asia. However,...
During the last few decades Central Asia has experienced widespread changes in land cover and land u...
Abstract: Through the application and use of geospatial data, this study aimed to detect and charact...
Currently there is a lack of quantitative information regarding the driving factors of vegetation dy...
Central Asia comprises a large fraction of the world’s drylands, known to be vulnerable to climate c...
Currently there is a lack of quantitative information regarding the driving factors of vegetation dy...
Changes in vegetation phenology directly reflect the response of vegetation growth to climate change...
To understand the land surface changes that Central Asia experienced between 2001 and 2013, we appli...
To understand the land surface changes that Central Asia experienced between 2001 and 2013, we appli...
Purpose – This paper aims to demonstrate the importance of taking into account precipitation and th...
An investigation of temporal dynamics of El Niño–Southern Oscillation (ENSO) and spatial patterns of...
The dramatic climate change has far-reaching impacts on vegetation in drylands such as Central Asia....
Central Asia experienced substantial institutional and socioeconomic changes during the last few dec...
Vegetation phenology has been used in studies as an indicator of an ecosystem’s responses to climate...
Greening and browning trends in vegetation have been observed in many regions of the world in recent...
Satellite datasets have revealed significant greening and soil drying in arid Central Asia. However,...
During the last few decades Central Asia has experienced widespread changes in land cover and land u...
Abstract: Through the application and use of geospatial data, this study aimed to detect and charact...
Currently there is a lack of quantitative information regarding the driving factors of vegetation dy...
Central Asia comprises a large fraction of the world’s drylands, known to be vulnerable to climate c...
Currently there is a lack of quantitative information regarding the driving factors of vegetation dy...
Changes in vegetation phenology directly reflect the response of vegetation growth to climate change...
To understand the land surface changes that Central Asia experienced between 2001 and 2013, we appli...
To understand the land surface changes that Central Asia experienced between 2001 and 2013, we appli...
Purpose – This paper aims to demonstrate the importance of taking into account precipitation and th...
An investigation of temporal dynamics of El Niño–Southern Oscillation (ENSO) and spatial patterns of...
The dramatic climate change has far-reaching impacts on vegetation in drylands such as Central Asia....
Central Asia experienced substantial institutional and socioeconomic changes during the last few dec...
Vegetation phenology has been used in studies as an indicator of an ecosystem’s responses to climate...
Greening and browning trends in vegetation have been observed in many regions of the world in recent...
Satellite datasets have revealed significant greening and soil drying in arid Central Asia. However,...