This dataset provides two 30-m resolution time series products of annual land cover classifications over the Arctic Boreal Vulnerability Experiment (ABoVE) core domain for each year of the period 1984-2014. The data are the annual dominant plant functional type in a given 30-m pixel derived from Landsat surface reflectance, landcover training data mapped across the ABoVE domain (using Random Forests modeling, with clustering and interpretation of field photography) and very high resolution imagery to assign land cover classifications. One product has a 15-class land cover classification that breaks out forest and shrub types into several additional classes; the other product provides a simplified, 10-class approach. Classification accuracy assessment results are provided per year. Assessments were based on a probability-based random sample of reference data that supported statistically robust estimation of areas and uncertainties in mapped areas.
N: 76.23 S: 50.26 E: -98.97 W: -170.01
|Temporal Extent:||Platform(s):||Environmental Modeling, LANDSAT-5, LANDSAT-7|
|Data Center(s):||ORNL_DAAC||Instrument(s):||Computer, TM, ETM+|
Variables mapped on uniform space-time grid scales with completeness and consistency
|Project Short Name||Campaigns||Project Dates|
|ABoVE||No campaigns listed.||No dates provided.|
|Coverage Type||Zone Identifier||Geometry||Granule Representation|
ORNL DAAC User Services Office, P.O. Box 2008, MS 6407, Oak Ridge National Laboratory
Oak Ridge, Tennessee 37831-6407
There are no listed data contacts for this collection.
Format Type: Native
S3 Bucket and Object Prefix Names: s3://ornl-cumulus-prod-protected/above/Annual_Landcover_ABoVE/
S3 Credentials API Endpoint: https://data.ornldaac.earthdata.nasa.gov/s3credentials
S3 Credentials API Documentation URL: https://data.ornldaac.earthdata.nasa.gov/s3credentialsREADME