Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020

Creators: Heidi Steltzer ORCID, Amanda Henderson, Chelsea Wilmer ORCID

Year: 2021

License: CC-BY 4.0

Location: The East River (ER) is a snow‐dominated, headwater basin of the Upper Colorado River Basin (UCRB) located in the western United States. The ER is the designated testbed of Lawrence Berkeley National Laboratory's Watershed Function Scientific Focus Area (WFSFA). Through WFSFA, observational networks have been established to measure stream discharge and precipitation chemistry. The ER is considered representative of many snow‐dominated headwaters of the Rocky Mountains. The study domain encompasses nearly 85 square km, a 1.4‐km vertical drop in elevation (4,120 to 2,760 m) and pristine alpine, subalpine, montane, and riparian ecosystems. The ER contains high‐energy mountain streams to low‐energy meandering floodplains and is eroding primarily into the Cretaceous, carbon‐rich, marine shale of the Mancos Formation. Additional metadata on specific locations within the watershed are provided in the following related data package: Varadharajan C. et al. (2020) doi:10.15485/1660962

Temporal extent: 2017-05-26 to 2020-09-27

Bounding box: 38.880°N to 39.034°N, -107.050°W to -106.880°W

Publisher: ESS_DIVE

Tags: growing season, Green Chromatic Coordinate, Normalized Difference Vegetation Index, CATEGORICAL:NONE Phenology, NDVI, Alpine & Subalpine Ecology, Plant Biology, Hydrology & Watersheds, Snow & Ice, Geology & Tectonics, Geochemistry & Isotopes, Weather & Atmospheric Science, Remote Sensing & Imagery, Field Methods & Monitoring, Gunnison Basin, Research Programs

Description

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”.

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