Every project goes through this structured process – transparent, documented, and tailored to your specific question.
Our platform combines remote sensing, GIS modeling, and AI-powered analysis into a single workflow for public authorities, engineering firms, and companies. Each function is tailored to a specific decision-making scenario.
For environmental data to be interpreted correctly, precise definitions are needed. Here we disclose which foundations our evaluations are based on and where the limits of their significance lie.
Our evaluations are based on publicly accessible satellite imagery (Copernicus, Sentinel), measurement series provided by authorities, and soil samples we collect ourselves. The combination of these sources enables a multidimensional view, but does not replace an on-site inspection by a certified laboratory.
Data currency varies depending on the source: satellite images are usually processed within 48 hours of capture, while official measurement series can be delayed by up to a quarter. For time-critical decisions, we explicitly indicate the recording date of the respective data basis.
We use the term exclusively for the aggregated assessment of pH value, humus content, water storage capacity, and pollutant load in the topsoil layer (0–30 cm). Deeper horizons or biological indicators such as microorganism diversity are only considered if this was expressly agreed upon in the respective project contract.
GIS-based models serve as decision support, not as automated decision-making. The generated maps show probabilities and spatial relationships. The final assessment always lies with the responsible planning experts, who incorporate local conditions and legal frameworks.
Each analysis report contains a transparency section in which uncertainty factors are quantified – such as cloud cover in satellite imagery or measurement deviations in field devices. If the estimated deviation exceeds 15 percent, we label the affected indicators as indicative and recommend a supplementary detailed investigation.
Voices from authorities, engineering firms, and companies that work with our environmental analyses.
Our clients appreciate that every analysis feeds directly into their planning processes. From the first soil sample to the finished GIS map, we accompany projects throughout their entire course and deliver results that hold up in everyday practice.
The soil quality maps have significantly accelerated our funding decisions. What used to take weeks is now documented in days.
The GIS analyses on infiltration helped us find two sites for retention areas that we would have overlooked without the data.
The remote sensing data on vegetation development is more precise than anything we have used before. Maintenance plans are now based on reliable figures.
The nutrient maps have made our fertilization more targeted. We save costs while also protecting groundwater—a double win.
The resource analysis showed us where biomass potential actually lies. The site selection for our facility is based on this data.