10.5880/GFZ.1.4.2023.006 Besnard, Simon Simon Besnard 0000-0002-1137-103X GFZ German Research Centre of Geosciences, Potsdam, Germany Santoro, Maurizio Maurizio Santoro 0000-0002-3339-6991 Gamma Remote Sensing, Bern, Switzerland Herold, Martin Martin Herold 0000-0003-0246-6886 GFZ German Research Centre of Geosciences, Potsdam, Germany Cartus, Oliver Oliver Cartus 0000-0002-6890-1548 Gamma Remote Sensing, Bern, Switzerland Gütter, Jonas Jonas Gütter Heinrich, Viola H.A. Viola H.A. Heinrich 0000-0003-0501-0032 GFZ German Research Centre of Geosciences, Potsdam, Germany Herault, Bruno Bruno Herault 0000-0002-6950-7286 Research Unit Forests and Societies, CIRAD, University of Montpellier, Montpellier, France Kassi, Justin Justin Kassi 0000-0003-1604-1096 Laboratoire de Botanique, UFR Biosciences, Université Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire Koirala, Sujan Sujan Koirala 0000-0001-5681-1986 Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany N'Guessan, Anny Anny N'Guessan 0000-0002-5453-1419 Laboratoire de Botanique, UFR Biosciences, Université Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire Neigh, Christopher Christopher Neigh 0000-0002-5322-6340 Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA Nelson, Jacob A. Jacob A. Nelson 0000-0002-4663-2420 Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany Poulter, Benjamin Benjamin Poulter 0000-0002-9493-8600 Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA Weber, Ulrich Ulrich Weber /0000-0001-7116-035X Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany Zhang, Tao Tao Zhang Department of Biology, University of Florida, Gainesville, Florida, USA Carvalhais, Nuno Nuno Carvalhais 0000-0003-0465-1436 Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany GFZ Data Services 2024 forest age carbon cycle disturbance history machine learning EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > FORESTS Maps/Charts/Photographs Carvalhais, Nuno Nuno Carvalhais 0000-0003-0465-1436 Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany Besnard, Simon Helmholtz GFZ German Research Centre of Geosciences, Section 1.4 Remote Sensing and Geoinformatics, Telegrafenberg, Potsdam, Germany Carvalhais, Nuno Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany 2023-11-01 2010-01-01/2020-01-01 Dataset 10.17871/ForestAgeBGI.2021 10.5194/essd-13-4881-2021 10.1126/science.1244693 10.1016/j.rse.2020.112165 2.1 CC BY 4.0 GAMI is an updated dataset providing global forest age distributions for 2010 and 2020 with 100-meter resolution, improving upon the MPI-BGC forest age product. Utilizing machine learning, specifically XGBoost, the estimates are based on over 40,000 forest inventory plots, biomass/height data, remote sensing, and climate data. The dataset incorporates Landsat-based disturbance history and uses multiple XGBoost models with varied hyperparameters to address aleatoric and epistemic uncertainties. Twenty realizations of biomass data with controlled perturbations simulate natural variability, offering robust statistical measures and confidence intervals. Additionally, GAMI provides age class fraction products at different spatial resolutions for custom analyses.

The full description of the data and the updates to version 1.0 (Besnard, 2021, https://doi.org/10.17871/ForestAgeBGI.2021) is provided in the associated data description file.

Version history:

28 August 2024: Publication of Version 2.0
7 January 2025: publication of Version 2.1. The files of Version 2.0 are available in the "previous-versions" in the data download folder. The GAMI version 2.1 use the ESA-CCI biomass maps version 5 during the model forward runs.
Global and for the years 2010 and 2020 -180 180 -90 90 Europen Space Agency https://eo4society.esa.int/projects/biomascat/ BIOMASCAT European Union https://doi.org/10.3030/776810 776810 VERIFY European Union https://www.forestnavigator.eu/ 101056875 ForestNavigator European Commission http://dx.doi.org/10.13039/501100000780