EGU26-4586, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-4586
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Thursday, 07 May, 08:30–10:15 (CEST), Display time Thursday, 07 May, 08:30–12:30
 
Hall X1, X1.27
Satellite data for carbon sequestration accounting: enhancing spatial and temporal resolution in harmony with the European ecosystem typology
Filipe Bernardo1,2, Andrea Peters3, Michelle Watson3, Lori Giagnacovo4, Bruno Smets4, Marcela Quiñones5, Diego Barbulo5, Boris Kooij5, Artur Gil1,2, Panayotis Dimopoulos6, and Ioannis Kokkoris6
Filipe Bernardo et al.
  • 1Instituto de Investigação em Vulcanologia e Avaliação de Riscos (IVAR), Portugal (filipe.mt.bernardo@uac.pt)
  • 2Fundação Gaspar Frutuoso, Universidade dos Açores, Portugal
  • 3space4environment sárl, Luxembourg
  • 4VITO NV, Belgium
  • 5SarVision BV, The Netherlands
  • 6University of Patras, Greece

The Horizon Europe SELINA project (project-selina.eu) supports evidence-based decision-making for the sustainable use of natural capital by advancing the integration of information on biodiversity, ecosystem condition, and ecosystem services across Europe, contributing to the EU Biodiversity Strategy for 2030, the European Green Deal, and national ecosystem reporting.
As part of SELINA’s demonstration phase, advanced methods were tested to improve the spatial and temporal resolution of the three key ecosystem accounting components—extent, condition, and services — focusing on the capacity of forests, heathlands and peatlands to capture and store carbon on two test sites: São Miguel Island (Azores, Portugal) and Peloponnese, Greece.
Ecosystem extent mapping employed a dual approach: (i) national-centric, enhancing existing datasets with Copernicus Land Monitoring Service (CLMS) data; and (ii) vegetation-centric, classifying EUNIS habitats from remote-sensing-derived features. Forest condition was assessed using the PEOPLE-EA index, integrating multiple indicators relative to an optimal reference state. Carbon accounting also followed a dual approach: (i) a remote sensing–based method (GEDI, LiDAR, Sentinel-1) to map above-ground biomass, estimate carbon stock/fluxes, and detect deforestation; (ii) a GPP-based approach applying a Light Use Efficiency (LUE) model with Sentinel-2 and climate data, subsequently converted to biome-specific NPP.
These methods produced wall-to-wall 10 m resolution maps harmonized with the European ecosystem typology, enabling scalable, cost-effective, and policy-relevant ecosystem monitoring, particularly in typically underrepresented small-medium islands from the European outermost regions.

How to cite: Bernardo, F., Peters, A., Watson, M., Giagnacovo, L., Smets, B., Quiñones, M., Barbulo, D., Kooij, B., Gil, A., Dimopoulos, P., and Kokkoris, I.: Satellite data for carbon sequestration accounting: enhancing spatial and temporal resolution in harmony with the European ecosystem typology, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4586, https://doi.org/10.5194/egusphere-egu26-4586, 2026.