Description
This dataset, referred to as LUH2-GCB2019, includes 0.25-degree gridded, global maps of fractional land-use states, transitions, and management practices for the period 0850-2019. The LUH2-GCB2019 dataset is an update to the previous Land-Use Harmonization Version 2 (LUH2-GCB) datasets prepared as required input to land models in the annual Global Carbon Budget (GCB) assessments, including land-use change data relating to agricultural expansion, deforestation, wood harvesting, shifting cultivation, afforestation, and crop rotations. Compared with previous LUH2-GCB datasets, the LUH2-GCB2019 takes advantage of new data inputs that corrected cropland and grazing areas in the globally important region of Brazil, as far back as 1950. LUH2-GCB datasets are used by bookkeeping models and Dynamic Global Vegetation Models (DGVMs) for the GCB.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Download this dataset | HTML | This link allows direct data access via Earthdata login | Open resource |
| Download this dataset | HTML | This link allows direct data access via Earthdata login | Open resource |
| Get a related visualization | JPG | Area fraction of each grid cell of primary lands covered by forests in the year 2000. Source: states.nc4 | Open resource |
| View this dataset's user's guide | HTML | ORNL DAAC Data Set Documentation | Open resource |
| Download this dataset | ZIP | Collection bundle | Open resource |
| View documentation related to this dataset | ZIP | Collection bundle | Open resource |
| View documentation related to this dataset | LUH2-GCB2019: Land-Use Harmonization 2 Update for the Global Carbon Budget, 850-2019: LUH2_GCB2019.pdf | Open resource | |
| View documentation related to this dataset | HTML | LUH2-GCB2019: Land-Use Harmonization 2 Update for the Global Carbon Budget, 850-2019: netcdf_header_info.txt | 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 |