Description
The dataset consists of maps of estimated Active Layer Thickness (ALT) at 30-m resolution throughout the northern half of Alaska for the years 2014, 2015, and 2017. The maps were generated by using a machine learning-based regression and a set of spatial data layers to upscale ALT from narrow swaths of ALT that were retrieved from airborne high-resolution P-band Polarimetric Synthetic Aperture Radar (PolSAR) imagery. The data are provided in cloud-optimized GeoTIFF format.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| The dataset's project home page | HTML | ABoVE project site | Open resource |
| Get a related visualization | JPG | Maps of active layer thickness (ALT) for northern Alaska in 2014, 2015, and 2017 estimated from P-band PolSAR imagery analyzed using a random forests (RF) machine learning regression algorithm. | Open resource |
| View documentation related to this dataset | HTML | ORNL DAAC Data Set Documentation | Open resource |
| Download this dataset | HTML | This link allows direct data access via Earthdata login | Open resource |
| View documentation related to this dataset | ABoVE: Upscaled Active Layer Thickness in Northern Alaska, 2014-2017: ALT_Maps_AK_CA.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 |