10.5880/GFZ.1.4.2023.006 eng dataset GFZ German Research Centre for Geosciences datapub@gfz-potsdam.de http://www.gfz-potsdam.de Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences pointOfContact 2025-01-08 urn:ogc:def:crs:EPSG:4326 Global Age Mapping Integration (GAMI) 2025-01-08 revision 2023-11-01 creation doi:10.5880/GFZ.1.4.2023.006 Besnard, Simon GFZ German Research Centre of Geosciences, Potsdam, Germany author Santoro, Maurizio Gamma Remote Sensing, Bern, Switzerland author Herold, Martin GFZ German Research Centre of Geosciences, Potsdam, Germany author Cartus, Oliver Gamma Remote Sensing, Bern, Switzerland author Gütter, Jonas author Heinrich, Viola H.A. GFZ German Research Centre of Geosciences, Potsdam, Germany author Herault, Bruno Research Unit Forests and Societies, CIRAD, University of Montpellier, Montpellier, France author Kassi, Justin Laboratoire de Botanique, UFR Biosciences, Université Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire author Koirala, Sujan Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany author N'Guessan, Anny Laboratoire de Botanique, UFR Biosciences, Université Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire author Neigh, Christopher Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA author Nelson, Jacob A. Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany author Poulter, Benjamin Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA author Weber, Ulrich Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany author Zhang, Tao Department of Biology, University of Florida, Gainesville, Florida, USA author Carvalhais, Nuno Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany author GFZ Data Services publisher 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. Besnard, Simon Helmholtz GFZ German Research Centre of Geosciences, Section 1.4 Remote Sensing and Geoinformatics, Telegrafenberg, Potsdam, Germany Researcher besnard@gfz-potsdam.de pointOfContact Carvalhais, Nuno Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany Group leader ncarval@bgc-jena.mpg.de pointOfContact forest age carbon cycle disturbance history machine learning EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > FORESTS NASA/GCMD Earth Science Keywords publication Maps/Charts/Photographs GCMD Platforms publication CC BY 4.0 CC BY 4.0 10.17871/ForestAgeBGI.2021 DOI IsNewVersionOf 10.5194/essd-13-4881-2021 DOI IsSupplementTo 10.1126/science.1244693 DOI Cites 10.1016/j.rse.2020.112165 DOI Cites eng geoscientificInformation Global and for the years 2010 and 2020 -180 180 -90 90 2010-01-01 2020-01-01 http://doi.org/10.5880/GFZ.1.4.2023.006 WWW:LINK-1.0-http--link Data Access - DOI Data Access - DOI information