Martin Schwartz
Postdoctoral researcher in the biomass team (BIOGEO group) at LSCE, Paris-Saclay, and in the TreeSense group at the University of Copenhagen (KU).
My research focuses on assessing forest carbon stocks by combining satellite data with deep learning. During my PhD (2020–2023, Université Paris-Saclay) I developed methods combining Sentinel-1/2 imagery, GEDI LiDAR and deep learning to map forest height, wood volume and biomass across France: the FORMS maps.
As a postdoc I extended this work in two directions: to annual time series revealing year-to-year forest growth (FORMS-T), and to very-high-resolution (1.5 m) tree-level monitoring of forest disturbances from SPOT 6/7 imagery (FORMSpoT). Together these open the way toward an annual carbon balance for forests using satellite imagery alone.
I collaborate with researchers across several institutions on concrete applications: the 2022 French wildfires, agroforestry stocks in Italy, and reconstructing the Ukrainian forest inventory from satellite data during wartime. I am also interested in bringing new sensors (ESA’s BIOMASS mission, CNES’s CO3D) into these models, and in making my data useful to civil society.
See my publications and CV; links to my Google Scholar and ORCID profiles are below.