Description
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.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| The dataset's project home page | HTML | ABoVE project site | Open resource |
| Download this dataset | HTML | This link allows direct data access via Earthdata login | Open resource |
| Get a related visualization | PNG | Land cover (10-class product) for the year 1984 in the ABoVE domain for analysis tile BH03V04. The pixel resolution is 30 m and a tile is 180 x 180 km. Refer to Figure 3 for the landcover in the same tile for the year 2014. (from ABoVE_LandCover_BH03V04.tif) | Open resource |
| View documentation related to this dataset | HTML | ORNL DAAC Data Set Documentation | Open resource |
| View documentation related to this dataset | ABoVE: Landsat-derived Annual Dominant Land Cover Across ABoVE Core Domain, 1984-2014: Annual_Landcover_ABoVE.pdf | Open resource | |
| This dataset's landing page | HTML | Data set Landing Page DOI URL | Open resource |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |