Land Surface Phenology, Eddy Covariance Tower Sites, North America, 2017-2021
This land surface phenology (LSP) dataset provides spatially explicit data related to the timing of phenological changes such as the start, peak, and end of vegetation activity, vegetation index metrics and associated quality assurance flags. The data are for the growing seasons of 2017-2021 for 10-km x 10-km windows centered over 104 eddy covariance towers at AmeriFlux and National Ecological Observatory Network (NEON) sites. The dataset is derived at 3-m spatial resolution from PlanetScope imagery across a range of plant functional types and climates in North America. These LSP data can be used to assess satellite-based LSP products, to evaluate predictions from land surface models, and to analyze processes controlling the seasonality of ecosystem-scale carbon, water, and energy fluxes. The data are provided in NetCDF format along with geospatial area-of-interest information and visualizations of the analysis window for each site in GeoJSON and HTML formats.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"026:00"
]
|
| contactPoint |
{
"fn": "Earthdata Forum",
"@type": "vcard:Contact",
"hasEmail": "mailto:earthdata-support@nasa.gov"
}
|
| description | This land surface phenology (LSP) dataset provides spatially explicit data related to the timing of phenological changes such as the start, peak, and end of vegetation activity, vegetation index metrics and associated quality assurance flags. The data are for the growing seasons of 2017-2021 for 10-km x 10-km windows centered over 104 eddy covariance towers at AmeriFlux and National Ecological Observatory Network (NEON) sites. The dataset is derived at 3-m spatial resolution from PlanetScope imagery across a range of plant functional types and climates in North America. These LSP data can be used to assess satellite-based LSP products, to evaluate predictions from land surface models, and to analyze processes controlling the seasonality of ecosystem-scale carbon, water, and energy fluxes. The data are provided in NetCDF format along with geospatial area-of-interest information and visualizations of the analysis window for each site in GeoJSON and HTML formats. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Data Information (JPEG)",
"format": "JPEG",
"mediaType": "image/jpeg",
"downloadURL": "https://daac.ornl.gov/VEGETATION/guides/Phenology_AmeriFlux_Neon_Sites_Fig1.jpg"
},
{
"@type": "dcat:Distribution",
"title": "Data Information (PDF)",
"format": "PDF",
"mediaType": "application/pdf",
"downloadURL": "https://data.ornldaac.earthdata.nasa.gov/public/global_vegetation/Phenology_AmeriFlux_Neon_Sites/comp/Phenology_AmeriFlux_Neon_Sites.pdf"
},
{
"@type": "dcat:Distribution",
"title": "Data Information (HTML)",
"format": "HTML",
"mediaType": "text/html",
"downloadURL": "https://doi.org/10.3334/ORNLDAAC/2033"
},
{
"@type": "dcat:Distribution",
"title": "Data Information (Unknown Format)",
"format": "BIN",
"mediaType": "application/octet-stream",
"downloadURL": "https://opendap.earthdata.nasa.gov/"
},
{
"@type": "dcat:Distribution",
"title": "Data Information (Unknown Format)",
"format": "BIN",
"mediaType": "application/octet-stream",
"downloadURL": "https://search.earthdata.nasa.gov/search?q=Phenology_AmeriFlux_Neon_Sites_2033&ac=true"
}
]
|
| identifier | 10.3334/ORNLDAAC/2033 |
| keyword |
[
"earth-science-vegetation-biosphere-leaf-characteristics",
"earth-science-vegetation-biosphere-plant-phenology"
]
|
| landingPage | https://search.earthdata.nasa.gov/search?q=Phenology_AmeriFlux_Neon_Sites_2033&ac=true |
| modified | 2026-02-17 |
| programCode |
[
"026:000"
]
|
| publisher |
{
"name": "ORNL_DAAC",
"@type": "org:Organization"
}
|
| spatial |
"[[{"WestBoundingCoordinate":-176.133,"NorthBoundingCoordinate":70.9848,"EastBoundingCoordinate":-57.3047,"SouthBoundingCoordinate":14.3389}],"CARTESIAN"]"
|
| temporal | 2017-01-01/2017-01-01 |
| theme |
[
"Earth Science"
]
|
| title | Land Surface Phenology, Eddy Covariance Tower Sites, North America, 2017-2021 |
