Projected future global land use through 2100
What it measures. Maps of how land across the world is expected to be used between 2015 and 2100 — how much is forest, cropland, pasture, or rangeland — plus how those uses shift year to year and farming details like irrigation and fertilizer use.
How it's made. Built by computer models rather than satellites: integrated assessment and land-use models project future scenarios on a global grid, accounting for warming and rising carbon dioxide.
How & where you'd use it. Helps researchers explore how the planet's land might change under different climate and policy futures, and feeds climate-impact studies looking at a 1.5°C warmer world.
What's measured
Coverage & cadence
- Time span2015-01-01 → 2100-01-01
- Measured byMODELS (Computer)
- Processing levelLevel 4
- Spatial extent-180, -90, 180, 90
- FormatsnetCDF-4 classic
- StatusCOMPLETE
What you can do with it
- Map vegetation, forests and biomass
- Monitor ecosystem productivity and carbon
- Support habitat and biodiversity studies
Official description
This dataset provides 0.25-degree gridded, global, annual estimates of fractional land use and land cover patterns for the period 2015-2100, designed to support the ISIMIP2b effort to assess the impacts of 1.5 Deg Celcius global warming. Land use types, land use transitions, and cropland estimates of area fraction are provided and include detailed separation of primary and secondary natural vegetation into forest and non-forest sub-types, pasture into managed pasture and rangeland, and cropland into multiple crop functional types; all transitions between land use states per grid cell per year, including crop rotations, shifting cultivation, and wood harvest; and agriculture management including irrigation, synthetic nitrogen fertilizer, and biofuel management. The LUH2-ISIMIP2b datasets were derived using Land Use Harmonization 2 (LUH2) methodology and are based on land-use scenarios provided by the REMIND-MAgPIE Integrated Assessment Model using an SSP2 storyline along with RCP2.6 and RCP6.0 emissions scenarios. In contrast to the standard SSP scenarios, these land use changes additionally account for climate and atmospheric CO2 fertilization effects on the underlying patterns of potential crop yields, water availability, and terrestrial carbon content. This is achieved by using the LPJmL (Lund-Potsdam-Jena managed land) model forced with atmospheric CO2 concentrations and patterns of climate change generated from 4 different climate models (GFDL, HADGEM, IPSL, and MIROC) consistent with the 2 different RCP scenarios, resulting in a set of 8 different LUH2-ISIMIP2b datasets.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="Land_Use_Harmonization_V2_1721",
version="1",
bounding_box=(-122.5, 37.2, -121.8, 37.9), # your area (W,S,E,N)
temporal=("2024-01-01", "2024-12-31"), # your dates
)
files = earthaccess.open(results) # stream straight from ORNL_CLOUD Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package. Official links
- Earthdata Search allows users to search, discover, visualize, refine, and access NASA Earth Observation data. GET DATA
- OpenDAP URL USE SERVICE API
- Collection Bundle URL GET DATA
- ORNL DAAC Data Set Documentation VIEW RELATED INFORMATION
- LUH2-ISIMIP2b Harmonized Global Land Use for the Years 2015-2100: LUH2-ISIMIP2b_Land_Use_Harmonization.pdf VIEW RELATED INFORMATION