Geospatial Analyses

For environmental organizations, planners, and research teams, we build geospatial analytics that improve forecasting accuracy and reduce uncertainty in high-stakes land and climate decisions.

Who we support

Conservation programs, infrastructure planners, and scientific teams working with spatially complex datasets.

Typical outcomes

Improved predictive accuracy, faster scenario evaluation, and clearer communication of geospatial patterns.

Engagement model

Co-design objectives, build decision-ready models, and deliver reproducible workflows for internal teams.

Case Study: Optimizing Agrivoltaic Solar Development with Geospatial Modeling

A renewable energy developer needed to identify farms suitable for agrivoltaic solar installations while ensuring projects could connect efficiently to existing transmission infrastructure. QSC developed a geospatial modeling system that helps planners prioritize development and infrastructure monitoring.

Read the full case study

What is Geospatial Modeling?

We combine remote sensing, GIS, and predictive modeling to quantify environmental and land-use dynamics across space and time.

Geospatial Modeling in Action

Our workflows produce map products and forecasts that teams can use for permitting, planning, and climate-risk communication.

Environmental Applications

Simulating invasive species spread and testing management strategies
Estimating forest carbon biomass using satellite imagery
Modeling ecosystem vulnerability under climate change

Urban Planning Applications

Assessing urban development’s impact on coastal water resources
Analyzing land use effects on erosion and sediment transport

Let’s Build Your Geospatial Solution

From urban planning to environmental modeling, we offer tailored geospatial support to meet your organization’s needs.

Book a Free 30-Minute Geospatial AI Assessment