Services
Environmental and geospatial consultancy for defined project needs
GforGeoscience provides project-based consulting for institutional and technical teams that need defensible evidence, reproducible workflows, clear documentation, and practical handover across agriculture, soil, climate, water, coastal, and land systems.
Remote sensing monitoring and validation
Consultancy support for institutions and technical teams that need EO products connected to field evidence, validation, uncertainty, and a defined monitoring decision.
Typical deliverables
AOI review; EO covariate stacks; validation plans; monitoring maps; uncertainty outputs; dashboard-ready layers.
Explore Monitoring ConsultancySoil carbon, MRV, environmental AI, and data governance
Consultancy support for soil, land, carbon, and research networks that need defensible spatial evidence, spectroscopy workflows, or privacy-aware collaboration.
Typical deliverables
Sampling strategy; SOC and clay maps; QA/QC notes; model benchmarks; spectral harmonization; reproducible notebooks; governance notes.
Review MRV & AI OptionsProject design, reporting, and technical documentation
Project-based consulting for proposal teams, NGOs, labs, and programmes that need technical methods translated into credible project logic and reviewer-ready material.
Typical deliverables
Concept notes; work-plan inputs; report sections; technical annexes; indicator logic; slide outlines; SOPs.
Plan Reporting SupportField sampling, monitoring, and ground-reference design
Consultancy support for EO, MRV, laboratory, and field programmes that need usable observations with consistent location, metadata, QA/QC, and handover.
Typical deliverables
Sampling plans; field protocols; metadata forms; map books; QA/QC; curated datasets; validation summaries.
Design Ground-Reference Work
How consultancy assignments are scoped
Consultancy support may be advisory, a defined technical package, a validation or sampling plan, report or proposal input, or a phased collaboration. Final scope depends on available data, geography, local expertise, decision context, review requirements, and realistic resource assumptions. Work does not substitute for required local authorization, accredited laboratory analysis, carbon-credit verification, or senior financial and programme oversight.