Automated Author Profile

Weber, Ulrich

Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany

Current S-Index

1.5

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.5

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

15.4%

Average FAIR Score per dataset

Total Citations

6

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Global Age Mapping Integration (GAMI) (Version: 2.0)

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.

Authors

  • Besnard, Simon ;
  • Santoro, Maurizio ;
  • Herold, Martin ;
  • Cartus, Oliver ;
  • Gütter, Jonas ;
  • Heinrich, Viola H.A. ;
  • Herault, Bruno ;
  • Kassi, Justin ;
  • Koirala, Sujan ;
  • N'Guessan, Anny ;
  • Neigh, Christopher ;
  • Nelson, Jacob A. ;
  • Poulter, Benjamin ;
  • Weber, Ulrich ;
  • Zhang, Tao ;
  • Carvalhais, Nuno
6 Citations0 Mentions15% FAIR2.4 Dataset Index
10.5880/gfz.1.4.2023.0062024