Detecting Inter-Annual Variations in the Phenology of Evergreen Conifers Using Long-Term MODIS Vegetation Index Time Series

Detecting Inter-Annual Variations in the Phenology of Evergreen Conifers Using Long-Term MODIS Vegetation Index Time Series

Long-term observations of vegetation phenology can be used to monitor the response of terrestrial ecosystems to climate change. Satellite remote sensing provides the most efficient means to observe phenological events through time series analysis of vegetation indices such as the Normalized Differen...

Full description

Bibliographic Details
Main Authors: Laura Ulsig, Caroline J. Nichol, Karl F. Huemmrich, David R. Landis, Elizabeth M. Middleton, Alexei I. Lyapustin, Ivan Mammarella, Janne Levula, Albert Porcar-Castell
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Remote Sensing
Subjects:
phenology
MODIS
Photochemical Reflectance Index (PRI)
Normalized Difference Vegetation Index (NDVI)
ecosystem productivity
time series analysis
Online Access:http://www.mdpi.com/2072-4292/9/1/49

Internet

http://www.mdpi.com/2072-4292/9/1/49

Similar Items