Full catalog/Land_Use_Harmonization_V2_1721
Land_Use_Harmonization_V2_1721·v1·dataset

Projected future global land use through 2100

LUH2-ISIMIP2b Harmonized Global Land Use for the Years 2015-2100
biosphere NASA ORNL_CLOUD Level 4 netCDF-4 classic
In plain English

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

BIOSPHERE › ECOSYSTEMS › ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS › AGRICULTURAL LANDSBIOSPHERE › ECOSYSTEMS › TERRESTRIAL ECOSYSTEMS › FORESTSLAND SURFACE › LAND USE/LAND COVER › LAND RESOURCESBIOSPHERE › VEGETATION › VEGETATION COVERLAND SURFACE › LAND USE/LAND COVER › LAND USE CLASSES

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

land_use_harmonization_v2_1721_access.py
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.