Our image-processing algorithm maps a non-native aquatic plant species called Egeria densa, commonly known as Brazilian Waterweed, in high-resolution satellite imagery.

Previous Brazilian Waterweed mapping techniques required months of manual image-processing and analysis.  Our semi-automated model processes satellite image at significantly faster speeds.

Manual image-processing methods mapped, on average, 63% of the plant’s coverage underwater.  Endpoint Environmental's image-processing model maps up to 90% of the plant’s coverage.

High-resolution satellite imagery is great for locating scrap tire piles that are otherwise hidden. The image-processing model Endpoint Environmental uses to map waste tire-piles locates as few as 100 densely-grouped tires in satellite imagery.

Imagery also serves as physical evidence and can be used in court proceedings, which is valuable when encountering a noncompliant citizen.