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.

Data and Resources

Additional Info

Field Value
Maintainer Earthdata Forum
Last Updated September 8, 2026, 04:45 (UTC)
Created June 13, 2025, 00:22 (UTC)
accessLevel public
bureauCode {026:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
harvest_object_id e0240da1-d83c-400d-8f1e-956c4306d5dc
harvest_source_id b99e41c6-fe79-4c19-bbc3-9b6c8111bfac
harvest_source_title Science Discovery Engine
identifier 10.3334/ORNLDAAC/2403
license https://www.usa.gov/government-works
modified 2026-08-31T22:16:02Z
programCode {026:000}
publisher ORNL_DAAC
resource-type Dataset
source_datajson_identifier true
source_hash f9509bb910d2dce8f2ddb5dc7d97b9bf6b7b2a52d89c898fc1a7cee5ff768ca6
source_schema_version 1.1
spatial ["CARTESIAN", [{"WestBoundingCoordinate": -123.657, "NorthBoundingCoordinate": 39.5491, "EastBoundingCoordinate": -114.882, "SouthBoundingCoordinate": 32.771}]]
temporal 2013-04-10/2018-08-16
theme {"Earth Science"}