WDTS: AVIRIS-Classic Derived Plant Trait Mosaics, 2013-2018
This dataset holds maps of 14 foliar functional traits derived from AVIRIS-Classic imagery over the western United States for the Western Diversity Time Series (WDTS) project. Imagery was acquired from 2013-04-10 to 2018-08-16 and a georeferenced, corrected surface reflectance product was developed for WDTS for 87 acquisitions. Foliar traits were derived from the reflectance product by applying partial least squares regression models. These traits include foliar concentrations of nitrogen, cellulose, lignin, fiber, sugar, starch, calcium, potassium, phosphorus, sulfur, phenolics, and nonstructural carbohydrates. In addition, area concentration of chlorophyll A+B and leaf dry mass per area were estimated. The WDTS includes airborne imagery collected at least once per year (but often several times) over large areas of California for almost all years from 2013-2024. This dataset will enable multi-temporal analyses of plant functional traits and biodiversity at the ecoregion scale. The data are provided in cloud optimized GeoTIFF format.
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 dataset holds maps of 14 foliar functional traits derived from AVIRIS-Classic imagery over the western United States for the Western Diversity Time Series (WDTS) project. Imagery was acquired from 2013-04-10 to 2018-08-16 and a georeferenced, corrected surface reflectance product was developed for WDTS for 87 acquisitions. Foliar traits were derived from the reflectance product by applying partial least squares regression models. These traits include foliar concentrations of nitrogen, cellulose, lignin, fiber, sugar, starch, calcium, potassium, phosphorus, sulfur, phenolics, and nonstructural carbohydrates. In addition, area concentration of chlorophyll A+B and leaf dry mass per area were estimated. The WDTS includes airborne imagery collected at least once per year (but often several times) over large areas of California for almost all years from 2013-2024. This dataset will enable multi-temporal analyses of plant functional traits and biodiversity at the ecoregion scale. The data are provided in cloud optimized GeoTIFF format. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Data Information (JPEG)",
"format": "JPEG",
"mediaType": "image/jpeg",
"downloadURL": "https://daac.ornl.gov/WDTS/guides/WDTS_AVIRIS-C_foliar_traits_Fig1.jpg"
},
{
"@type": "dcat:Distribution",
"title": "Data Information (PDF)",
"format": "PDF",
"mediaType": "application/pdf",
"downloadURL": "https://data.ornldaac.earthdata.nasa.gov/public/wdts/WDTS_AVIRIS-C_foliar_traits/comp/WDTS_AVIRIS-C_foliar_traits.pdf"
},
{
"@type": "dcat:Distribution",
"title": "Data Information (HTML)",
"format": "HTML",
"mediaType": "text/html",
"downloadURL": "https://doi.org/10.3334/ORNLDAAC/2403"
},
{
"@type": "dcat:Distribution",
"title": "Data Information (Unknown Format)",
"format": "BIN",
"mediaType": "application/octet-stream",
"downloadURL": "https://search.earthdata.nasa.gov/search?q=WDTS_AVIRIS-C_foliar_traits_2403&ac=true"
}
]
|
| identifier | 10.3334/ORNLDAAC/2403 |
| keyword |
[
"earth-science-vegetation-biosphere-chlorophyll",
"earth-science-vegetation-biosphere-leaf-characteristics",
"earth-science-vegetation-biosphere-nitrogen",
"earth-science-vegetation-biosphere-nutrients"
]
|
| landingPage | https://search.earthdata.nasa.gov/search?q=WDTS_AVIRIS-C_foliar_traits_2403&ac=true |
| modified | 2026-02-17 |
| programCode |
[
"026:000"
]
|
| publisher |
{
"name": "ORNL_DAAC",
"@type": "org:Organization"
}
|
| spatial |
"[[{"WestBoundingCoordinate":-123.657,"NorthBoundingCoordinate":39.5491,"EastBoundingCoordinate":-114.882,"SouthBoundingCoordinate":32.771}],"CARTESIAN"]"
|
| temporal | 2013-04-10/2013-04-10 |
| theme |
[
"Earth Science"
]
|
| title | WDTS: AVIRIS-Classic Derived Plant Trait Mosaics, 2013-2018 |
