Focus Areas
- Remote sensing monitoring and validation
- Soil carbon, MRV, and digital soil mapping
- Environmental AI, spectroscopy, and data governance
- Field sampling and ground-reference design
- Technical reports, proposals, and project documentation
About
Technical depth for project-ready environmental evidence
GforGeoscience is an environmental and geospatial consultancy platform led by Giannis Gallios for analysis, monitoring, validation, reporting, and research-to-delivery collaboration.
About Giannis
Agricultural engineer, environmental AI scientist, and technical consultant
Giannis Gallios is a PhD researcher in Soil, Water, and Ecosystem Sciences at the University of Florida. His foundation in agricultural engineering and natural-resources development is complemented by University of Georgia experience in irrigation scheduling, sensors, grower-facing decision support, and Extension communication.
His work connects Earth observation, digital soil mapping, soil spectroscopy, environmental AI, field sampling, reproducible analysis, and technical communication. GforGeoscience reflects a gradual transition from specialist research toward project-based consulting, monitoring and validation design, reporting, proposal material, technical coordination, and institutional collaboration.
Applied Experience
- University of Florida soil AI, spectroscopy, and geospatial workflows
- University of Georgia irrigation scheduling and decision support
- Sensor, API, dashboard, and field-data integration
- Reproducible analysis, uncertainty, QA/QC, and handover documentation
- Communication with researchers, growers, Extension audiences, and technical teams
Working Direction
- Remote-first, short-term technical assignments
- Monitoring, validation, and reporting support
- Proposal and concept-note contributions
- Work-plan inputs and resource assumptions
- Collaboration with senior consultants, labs, NGOs, agencies, and consortia
International and field perspective
Environmental systems are technical and local
Study and collaboration across Greece, Portugal, the United States, Brazil, and international soil-data networks have reinforced the importance of local calibration, data ownership, field context, and clear boundaries. Field observations across agricultural, dryland, wetland, mountain, volcanic, tropical, and coastal systems further shape how maps and models are interpreted.
Read Field NotesLanguages
Multilingual collaboration
Greek (native), English (C2), Spanish (B2), German (B1), and Portuguese (A2).
Language capability supports international teamwork and contextual communication; technical deliverables are scoped around the language and review needs of each assignment.
Selected credentials
Education and applied roles
- PhD candidate, University of FloridaSoil, Water, and Ecosystem Sciences; environmental AI, soil spectroscopy, and digital soil mapping.
- MS, University of GeorgiaCrop and Soil Sciences; precision irrigation and agricultural decision-support systems.
- Integrated MEng, Agricultural University of AthensNatural Resources Development and Agricultural Engineering; hydrology and water-resources analysis.
- Hydraulics Laboratory, University of PortoGuadiana transboundary basin hydrological analysis and reporting support.
Publications and technical outputs
Selected evidence
- Published applied work on farm-scale Earth observation for soil-property mapping in Brazil.
- Published workflows for spectral quality control and privacy-aware soil spectroscopy collaboration.
- Technical presentations and workshops in FAO, IEEE, AGU, ESA, University of São Paulo, and Extension-facing settings.
- Research prototypes and dashboard concepts connecting geospatial layers, sensor data, expert documents, and decision support.
Downloads
Concise documents for institutional review
The capability statement summarizes support areas and evidence. The consultancy CV provides the detailed experience record.