Remotely sensed data provide opportunities to map vegetation phenology and productivity from local to global scales. These can provide useful information on responses and sensitivities to climate drivers. However, differences in remotely sensed data and processing methodologies may lead to different results, and the interpretation of the derived metrics are not always straight forward. Field measurements and observations are necessary for developing methodology and understanding the remotely sensed observations. Increased process understanding and improved data sets provide new opportunities for better mapping and understanding of spatial and temporal variations in vegetation.
https://www.uibk.ac.at/globalchange/diskurse/