Land Use and Cover in the Southeastern United States, 1987-2019 (0.25 degree)
These are quarter degree datasets that contain the percent of nine land use classes in each quarter degree cell covering the Southeastern United States. Classes are designed to be compatible with the classes in the Land-Use Harmonization 2 dataset (LUH2) (Chini et al. 2021). This dataset includes a new 'actively-managed forest' class that represents pine plantations that are being actively managed, using forest thinning as a proxy for active management. Thins are identified based on the Landsat analysis outlined in Thomas et al. (2021), but applied in Google Earth Engine to the entire Southeastern U.S. in three year increments from 1987-2019. Note that the aggregate area of active management should be interpreted as the total number of pixels within a 0.25 degree cell that were identified as active management at some point during the time period, but may not have been actively managed the entire time period. The other 8 LUH-compatible classes were generated by aggregating the 2016 release of the National Land Cover Dataset (NLCD) (Homer et al. 2020, Jin et al. 2019) for the most recent corresponding year, based on the reclassification scheme described in the readme file.
Regionally specific drivers of land-use transitions and future scenarios: a synthesis considering the land management influence in the southeastern US, NASA LCLUC program, award number NNX17A109G.
PublisherUniversity Libraries, Virginia Tech
- English (US)