How land use changed worldwide (years 1500-2100)
What it measures. How land across the globe is used and how that use shifts each year from 1500 to 2100, broken into categories like cropland, pasture, untouched land, recovering land, and urban areas, plus wood harvest and regrowth details.
How it's made. Not a satellite product; built by harmonizing historical land-use reconstructions (HYDE 3.1) with four future model scenarios so the past and projected future join seamlessly, gridded at half-degree resolution.
How & where you'd use it. Gives researchers a single consistent record of human land-use change for studying its effects on climate, carbon, and the Earth system across centuries.
What's measured
Coverage & cadence
- Time span1500-01-01 → 2100-01-01
- Measured byMODELS (Computer)
- Processing levelLevel 4
- Spatial extent-180, -90, 180, 90
- FormatsnetCDF-4
- StatusCOMPLETE
What you can do with it
- Track deforestation, fire scars and land-cover change
- Monitor crop and vegetation health (NDVI/EVI)
- Map how built-up vs. green an area is over time
Official description
These data represent fractional land use and land cover patterns annually for the years 1500 - 2100 for the globe at 0.5-degree (~50-km) spatial resolution. Land use categories of cropland, pasture, primary land, secondary (recovering) land, and urban land, and underlying annual land-use transitions, are included. Annual data on age and biomass density of secondary land, as well as annual wood harvest, are included for each grid cell. Historical land cover data for the years 1500 - 2005 are based on HYDE 3.1 and future land cover projections for the period 2006 - 2100 came from four Integrated Assessment Model (IAM) scenarios which reach different levels of radiative forcing by year 2100: MESSAGE (8.5 W/m2), AIM (6 W/m2), GCAM (4.5 W/m2), and IMAGE (2.6 W/m2). A key feature of these data is that historical reconstructions of land use were harmonized (computationally adjusted to minimize differences at the transition period) with modeled future scenarios, allowing for a seamless examination of historical and future land use. The output data present a single consistent, spatially gridded set of land-use change scenarios for studies of human impacts on the past, present, and future Earth system. For additional information about the algorithms, inputs, and options used in creating the land use transitions data, please refer to Hurtt et al. (2006) and Hurtt et al. (2011). Data are presented as a series of twenty (20) different data products representing different past and future model scenarios. There are a total of 560 NetCDF v4 files (*.nc4), one for each combination of data product and land use variable.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="Land_Use_Harmonization_V1_1248",
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
- Data Set Documentation VIEW RELATED INFORMATION
- Data Set Documentation VIEW RELATED INFORMATION
- ORNL DAAC Data Set Documentation VIEW RELATED INFORMATION
- Data Set Documentation VIEW RELATED INFORMATION
- Data Set Documentation VIEW RELATED INFORMATION