High-resolution
Soil Intelligence
Global-scale soil science — building datasets for carbon MRV and monitoring soil property dynamics to support verifiable climate action.
HUMERIS
Global high-resolution dataset of soil properties built from Earth Observation, environmental covariates, and machine learning.
GlobalSOC-30
High-resolution global soil organic carbon dataset at 30 m, derived from multi-sensor remote sensing and machine-learning harmonisation across six continents.
Soil Carbon MRV Framework
Methodology for monitoring, reporting and verification of soil carbon sequestration in large-scale agricultural systems, aligned with voluntary carbon market standards.
SoilPropChange v1.0
Multi-temporal analysis framework for detecting soil property changes across major agricultural biomes, validated against in-situ spectroscopy datasets.
Carbon Intelligence Advisory
Strategic advisory for carbon farming companies on soil data infrastructure, MRV compliance, and geospatial intelligence for voluntary carbon markets.
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Precision in measurement is the foundation of credible climate action.
MDV
about
Geospatial scientist based in Florence, focused on global soil mapping. I am a PhD candidate in Geography building global-scale soil intelligence for a measurable future. My research combines satellite remote sensing, machine learning, and field spectroscopy to map soil organic carbon and track soil property dynamics across landscapes at unprecedented resolution and consistency.
Experience
PhD Candidate — Geography
IMT Lucca
2023 — Present
Visiting Researcher — Remote Sensing
INRAE
2026 — Present
MSc — Environmental Economics
University of Florence
2020 — 2023
contact
Do not hesitate to reach out to discuss data collaboration, consulting or my research.