A vegetation phenology dataset developed by integrating multiple sources using the reliability ensemble averaging method
Data sets
A vegetation phenology dataset by integrating multiple sources using the Reliability Ensemble Averaging method https://doi.org/10.5281/zenodo.15165681
MODIS/Terra+Aqua Land Cover Dynamics Yearly L3 Global 500m SIN Grid V061 https://doi.org/10.5067/MODIS/MCD12Q2.061
NASA MEaSUREs Vegetation Index and Phenology (VIP) Phenology NDVI Yearly Global 0.05Deg CMG https://doi.org/10.5067/MEaSUREs/VIP/VIPPHEN_NDVI.004
No trends in spring and autumn phenology during the global warming hiatus (http://data.globalecology.unh.edu/data/GIMMS_NDVI3g_Phenology/) https://doi.org/10.1038/s41467-019-10235-8
Vegetation phenology data based on GIMMS4g NDVI from 1982 to 2020 https://doi.org/10.5281/zenodo.11136967
MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid V061 https://doi.org/10.5067/MODIS/MCD12Q1.061
Vegetation CollectionPhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000–2018 https://doi.org/10.3334/ORNLDAAC/1674
Model code and software
Reliability ensemble averaging method https://github.com/PRqA642/REA
REA: A codebase for generating REA phenology datasets (Version 1.0) https://doi.org/10.5281/zenodo.16419015