A vegetation phenology dataset by integrating multiple sources using the Reliability Ensemble Averaging method
A vegetation phenology dataset for the Northern Hemisphere( the latitude ranging from 30°N to 90°N, the longitude ranging from -180°E to 180°E), including start of season (SOS_merge), SOS uncertainty range (SOS_merge_r), end of season (EOS_merge), and EOS uncertainty range (EOS_merge_r). This datase...
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Zusammenfassung: | A vegetation phenology dataset for the Northern Hemisphere( the latitude ranging from 30°N to 90°N, the longitude ranging from -180°E to 180°E), including start of season (SOS_merge), SOS uncertainty range (SOS_merge_r), end of season (EOS_merge), and EOS uncertainty range (EOS_merge_r). This dataset is generated by merging four vegetation phenology datasets including MODIS MCD12Q2(https://lpdaac.usgs.gov/products/mcd12q2v061/), MEaSUREs VIPPHEN(https://lpdaac.usgs.gov/products/vipphen_ndviv004/), GIMMS NDVI3g(http://data.globalecology.unh.edu/data/GIMMS_NDVI3g_Phenology/), GIMMS NDVI4g(https://doi.org/10.5281/zenodo.7649107) using the reliability ensemble averaging method.The spatial resolution of the new dataset is 0.05° and its temporal scale spans 1982–2022. The new dataset was validated using data from the ground-based PhenoCam dataset from 280 sites over the period 2000–2018, which provided 1410 site–year combinations.
The dataset is stored in TIFF format, the unit of “SOS_merge” and “EOS_merge” is day of year (DOY), and the unit of “SOS_merge_r” and “EOS_merge_r” is day. |
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DOI: | 10.5281/zenodo.11127280 |