01
GIS Consulting
Architecture, integration & training
From bespoke GIS platform design to workflow automation and team capability-building, we embed spatial intelligence into your organisation's operations end-to-end.
Who it's for
Agribusinesses, farm cooperatives, regional land authorities, and public agencies seeking to build or modernise a spatial data capability.
Platform Architecture
We design and deploy tailored GIS environments built on open standards (OGC, INSPIRE) and proven toolstacks, from PostGIS and QGIS to cloud-hosted ArcGIS and MapBox solutions. Architecture decisions are guided by your data volumes, team skill sets, and long-term scalability needs.
Workflow Automation
Manual geodata processing is expensive and error-prone. We automate ingestion, transformation, and analysis pipelines — from cadastral data refreshes to satellite-image preprocessing — freeing your team for higher-value analysis work.
Team Training & Capacity Building
Sustainable GIS capability lives in your team, not in external consultants. We deliver structured training programmes tailored to agricultural GIS contexts, covering spatial analysis fundamentals through to advanced remote-sensing workflows.
Regulatory & Standards Compliance
We help you meet INSPIRE directive requirements, DSGVO data governance obligations, and EU Common Agricultural Policy (CAP) spatial data standards — reducing compliance risk and unlocking subsidy-related datasets.
02
Yield Prediction
Forecast crop performance before planting
Machine-learning models that integrate climate data, historical yield records, and real-time field conditions to produce reliable crop-performance forecasts across your land portfolio.
Who it's for
Arable farmers, trading cooperatives, agri-finance lenders, and crop-insurance providers who need forward-looking yield intelligence rather than just historical benchmarks.
Multi-Variate ML Models
Our predictive models combine satellite-derived vegetation indices (NDVI, EVI, LAI), climate reanalysis data (ERA5), soil parameter maps, and historical yield records into ensemble models calibrated for DACH and wider EU agricultural conditions.
Field-Level Granularity
Predictions are computed at individual field parcel level, cross-referenced against cadastral boundaries, allowing farm-by-farm comparison and aggregation to portfolio level for cooperatives and lenders.
In-Season Monitoring
Forecasts update throughout the growing season as new satellite imagery and weather data becomes available — giving you a dynamic picture that tightens as harvest approaches, not a single static projection.
Scenario Analysis
Run climate-scenario and intervention models to evaluate the yield impact of agronomic decisions — irrigation changes, crop-rotation adjustments, or cover-cropping programmes — before committing resources.
03
Remote Sensing Analytics
Satellite-driven land intelligence
Processing and analysis of multi-source satellite and aerial imagery — from Copernicus Sentinel to commercial high-resolution sensors — to deliver actionable land-condition intelligence.
Who it's for
Land managers, agri-environmental programme administrators, environmental consultancies, and any organisation needing timely, area-wide land-condition data beyond what ground surveys can provide.
Vegetation & Crop Mapping
Automated classification of crop types, growth stages, and vegetation health across large areas using multi-temporal satellite image stacks. Outputs include field-level crop maps, vegetation health indices, and anomaly alerts.
Soil & Moisture Analysis
SAR (Synthetic Aperture Radar) and optical sensor fusion for soil moisture estimation, compaction risk mapping, and bare-soil analysis — critical inputs for irrigation scheduling and soil health programmes.
Change Detection
Long-run time-series analysis to detect land-use change, deforestation risk, wetland dynamics, and agricultural intensification — supporting environmental compliance, biodiversity monitoring, and nature-based solutions accounting.
Flood & Drought Risk Mapping
Inundation extent mapping from SAR imagery and drought stress detection using optical indices — providing early-warning signals for crop insurance triggers, irrigation investment decisions, and climate adaptation planning.
04
Land Management Advisory
Data-driven strategic planning
Strategic advice and spatial planning support for landowners, farmers, cooperatives, and land authorities — combining GIS analysis with EU agricultural policy expertise.
Who it's for
Farm businesses planning land use transitions, cooperatives managing pooled land assets, rural land authorities, and agri-environment scheme administrators.
Land-Use Optimisation
Spatial analysis to identify the highest-value use of each parcel in your land portfolio — balancing productive yield potential, ecological sensitivity, subsidy eligibility, and long-run climate resilience.
Agri-Environment Scheme Support
We map your land against EU agri-environment scheme eligibility criteria (e.g. AUKM, SchiLF-equivalent programmes), identifying which parcels qualify for which measures and modelling the financial and ecological trade-offs.
Carbon & Biodiversity Accounting
Spatial support for nature-based solutions, carbon sequestration projects, and biodiversity net-gain calculations — an increasingly important component of land management planning under EU Green Deal frameworks.
Long-Term Planning & Scenario Modelling
We build spatial scenario models to evaluate the land-use implications of strategic decisions — expanding an operation, transitioning to organic, acquiring new land — over 10–25 year horizons.
Ready to talk about your project?
Whether you have a specific brief or want to explore what's possible for your land data, we're glad to hear from you.