Preprints
https://doi.org/10.5194/essd-2026-798
https://doi.org/10.5194/essd-2026-798
22 Oct 2026
 | 22 Oct 2026
Status: this preprint is currently under review for the journal ESSD.

High-Resolution Above-Ground Biomass Mapping of the Alps using Satellite Embeddings and GEDI

Anna Candotti and Enrico Tomelleri

Abstract. Accurate estimates of aboveground biomass (AGB) are crucial for understanding terrestrial carbon cycling and informing climate-efficient forest management policies. The diverse topography and altitudinal ranges make the Alps a significant contributor to European carbon stocks. However, existing AGB products often lack sufficient spatial resolution and temporal consistency to capture fine-scale biomass patterns in complex terrain. Here, we present a high resolution (30 m) gridded dataset of AGB (Mg haˉ¹) for the year 2022 over the Alpine Convention extent. The map was developed by integrating openly accessible GEDI-derived AGB metrics and the Earth Alpha Foundation Satellite Embedding using a random forest regression framework. The model’s performance was first evaluated using internal validation against GEDI-derived AGB, showing a high degree of agreement. Independent validation against 2068 National Forest Inventory (NFI) plots confirms the model’s ability to generalize across forest types and environmental conditions. Additionally, the dataset's suitability was evaluated by comparing it with existing high-resolution (<= 100 m) AGB estimates, highlighting improved estimates in heterogeneous mountainous terrain. The outputs were further used to discuss the spatial distribution of AGB across the region, highlighting the roles of climatic patterns, elevation, and forest composition in shaping AGB distributions. The dataset provides a high-resolution, spatially explicit representation of AGB across the Alpine region and is a valuable resource for regional carbon accounting, forest management, and environmental modeling. The dataset is available at: https://doi.org/10.5281/zenodo.23073080 (Candotti and Tomelleri, 2026).

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
Share
Anna Candotti and Enrico Tomelleri

Status: open (until 07 Dec 2026)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Anna Candotti and Enrico Tomelleri

Data sets

High-Resolution Above-Ground Biomass Mapping of the Alps using Satellite Embeddings and GEDI Anna Candotti, Enrico Tomelleri https://doi.org/10.5281/zenodo.23073080

Anna Candotti and Enrico Tomelleri

Viewed

Total article views: 497 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
366 106 25 497 54 39 30
  • HTML: 366
  • PDF: 106
  • XML: 25
  • Total: 497
  • Supplement: 54
  • BibTeX: 39
  • EndNote: 30
Views and downloads (calculated since 22 Oct 2026)
Cumulative views and downloads (calculated since 22 Oct 2026)

Viewed (geographical distribution)

Total article views: 497 (including HTML, PDF, and XML) Thereof 497 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 11 Nov 2026
Download
Short summary
This study mapped forest biomass across the European Alps for the year 2022 to improve carbon storage estimates. By combining satellite data with space-borne laser measurements using machine learning, we created maps at high spatial resolution. These results provide a reliable tool for climate monitoring and forest management.
Share
Altmetrics