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

Article English OPEN
Laura Ulsig; Caroline J. Nichol; Karl F. Huemmrich; David R. Landis; Elizabeth M. Middleton; Alexei I. Lyapustin; Ivan Mammarella; Janne Levula; Albert Porcar-Castell;
  • Publisher: MDPI AG
  • Journal: issn: 2072-4292
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.3390/rs9010049
  • Subject: time series analysis | PHOTOSYNTHETIC EFFICIENCY | RADIATION USE EFFICIENCY | 4112 Forestry | phenology | PHOTOCHEMICAL REFLECTANCE INDEX | MONITORING VEGETATION | 114 Physical sciences | Photochemical Reflectance Index (PRI) | CARBON-DIOXIDE | DECIDUOUS FOREST | LIGHT-USE EFFICIENCY | Normalized Difference Vegetation Index (NDVI) | Q | MEDITERRANEAN FOREST | ecosystem productivity | SCOTS PINE FOREST | Science | OPTICAL INDICATOR | 1172 Environmental sciences | MODIS

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 s... View more
Share - Bookmark