The LANDMATE PFT dataset provides land cover maps for Europe for the years 1992-2015 in 0.1° (~10km) resolution and a land cover map for Europe for the year 2015 in 0.018° (~2km) resolution. Minor interpolation
The LANDMATE PFT dataset provides a land cover map for Europe for the year 2015 in 0.1° (~10km) and 0.018° (~2km) resolution. The dataset is based on land cover data of the ESA Climate Change Initiative
Output of first-phase Earth system model simulations for LAMACLIMA: idealized global land-use scenarios, including cropland expansion, re/afforestation, irrigation, wood harvest, and reference control
Land use plays a critical role in global mitigation and local adaptation. However, its impacts on local and remote climate and the carbon cycle remain poorly understood across Earth system models (ESMs).
The LUCAS LUC future dataset consists of annual land use and land cover maps from 2016 to 2100 for multiple regions around the globe. It is based on land cover data from the LANDMATE PFT dataset for the
The LUCAS LUC historical dataset consists of annual land use and land cover maps from 1950 to 2015 for multiple regions around the globe. It is based on land cover data from the LANDMATE PFT dataset that
The LUCAS LUC future dataset consists of annual land use and land cover maps from 2016 to 2100 for North America. It is based on land cover data from the LANDMATE PFT dataset for the year 2015. The LANDMATE
The LUCAS LUC historical dataset consists of annual land use and land cover maps from 1950 to 2015 for North America. It is based on land cover data from the LANDMATE PFT dataset that was generated from
The LUCAS LUC future dataset consists of annual land use and land cover maps from 2016 to 2100 for Europe. It is based on land cover data from the LANDMATE PFT dataset for the year 2015. The LANDMATE PFT
The LUCAS LUC historical dataset consists of annual land use and land cover maps from 1950 to 2015 for Europe. It is based on land cover data from the LANDMATE PFT dataset that was generated from ESA-CCI
This dataset contains MPI-ESM-1.2 output from the first-phase FRST simulation of idealized global forest re/afforestation. The simulation branches from the 2014 CMIP6 historical concentration-driven simulation
MPI-ESM-1.2 output from first-phase LAMACLIMA simulations: idealized global land-use scenarios, including cropland expansion, re/afforestation, irrigation, wood harvest, and control.
Land use plays a critical role in global mitigation and local adaptation. However, its impacts on local and remote climate and the carbon cycle remain poorly understood across Earth system models (ESMs).