Our Expertise, Your Value: Past Solutions

Explore some of our past solutions and learn about the breadth and detail of our work.

Developing Digital Platforms for Crop Research

A leader in university research was working hard to keep pace with the growth of their research lab, analyzing and archiving research products according to standards, and rapid improvements in technology resulting in differences in data quality from different sensors.

To succeed a new digital system, capable of handling terabytes of GIS tagged imagery across multiple spectral bands, was required.

We provided a solution that required no changes to their operational processes while providing them with quick access to diagnostic plots on demand as well as smart QA/QC procedures that freed researchers to focus more on studying the best information captured by their sensors. We provided easy-to-understand training on how to interact with the new system and documentation allowing it to be augmented as future demands dictated.

Real Time Environmental Monitoring

A research lab responsible for a network of environmental sensors wanted to improve their monitoring system located two states away in two ways: 1) near-real time reporting of provisional data, and 2) boost quality control by providing decision support technology.

Although augmenting the system with NRT data delivery was straightforward, incorporating decision support for QC demanded domain knowledge about processing data collected by sensors in the environment. We delivered a custom QC decision support process using their same software that did not confuse natural signals of interest while highlighting potentially unwanted anomalies coming from sampling and measurement error.

Our domain knowledge allows us to service customers doing environmental data analysis and data collection and our small company size helps us respond quickly and directly to customers that need tailored solutions for their existing data pipeline processes.

Mitigating wildlife collision with advanced satellite imagery analysis

An agriculture research and support firm was struggling to quantify what effect, if any, the types of crops planted around a particular airport were having on the reported incidence of wildlife collisions.

The problem was largely the lack of crop type information around the airport over the past several decades, which meant it wasn’t possible to do a statistical analysis.

Although comprehensive data sources of crop types (Crop Data Layers) do exist these sources do not actually represent the specific crop type planted in a given field at a point in time.

Rather these sources are actually modeled and were developed for use as aggregate data. We recognized the cost limitations of the project and provided a tailored solution that was able to answer where the problem areas around the airport were and what crop types posed the greatest risks. Rather than focusing on identifying crop types we used satellite imagery to leverage expert knowledge by wildlife specialists who were able to focus their surveys on the fields of greatest concern, and then collect on-the-ground observations to feed back into our monitoring system. The approach significantly improved upon best-use guidelines on airfield land management because it provided actual information based on two sources of evidence (imagery and observation) for an exact airport, not to mention locating the fields of most concern that if addressed could offer the greatest improvement in safety.