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U.S. Department of Energy
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Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020

Dataset ·
DOI:https://doi.org/10.15485/1842910· OSTI ID:1842910
The timing of snowmelt is a critical cue for the initiation of growth in mountain meadow ecosystems and can also impact the duration and magnitude of plant production. High frequency observations of species-level phenology are time consuming and require a high degree of expertise, and publicly available remote sensing products lack the necessary temporal resolution to assess fine-scale growing season dynamics. Near-surface sensing methods provide a middle ground with high temporal frequency and tractable spatial scales (from sub-meter to hillslope scale). This data package includes csv files of Normalized Difference Vegetation Index (NDVI) timeseries (SM_NDVI_dailymax.csv) and phenological thresholds (SM_NDVI_summary.csv) for sub-plots (1m2) and Green Chromatic Coordinate (GCC) phenological thresholds (SM_GCC_summary.csv) at the plot scale (10m x 14m). Location IDs associated with this data package are: ER-LM, WG-UM, WG-LS, ER-US, and XX-AL. Related data packages include: “Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020” and “Colorado Elevation Gradient Snowmelt Manipulation Plant Phenology 2017-2018”.
Research Organization:
Environmental System Science Data Infrastructure for a Virtual Ecosystem
Sponsoring Organization:
U.S. DOE > Office of Science > Biological and Environmental Research (BER)
OSTI ID:
1842910
Report Number(s):
paf_739_742
Country of Publication:
United States
Language:
English