Scaling biodiversity monitoring with AI and remote sensing

Gentian combines advanced AI, remote sensing, and high-resolution satellite imagery to map and monitor habitats with exceptional accuracy. Our proprietary machine learning models classify habitats according to recognised ecological frameworks, providing scalable and reliable biodiversity insights.

Our AI models are trained on high-resolution imagery (<50 cm) and extensive ground-truth data to ensure precision. Our data undergoes rigorous quality assurance, including expert ecological review, to deliver scientifically robust and actionable insights.

Yes. Our habitat mapping data is delivered in standardised formats, including GeoJSON, shapefiles, and raster datasets, ensuring seamless integration with GIS platforms and compliance reporting tools such as TNFD, CSRD, and biodiversity net gain (BNG) frameworks. Additionally, we provide summary statistics in spreadsheet format (CSV) and high-quality PDF maps, making it easy to incorporate insights directly into reports.

The frequency of updates depends on the project and the available satellite imagery. We prioritise the most recent high-resolution data, with our advanced models enabling year-over-year comparisons to monitor habitat changes over time.

Unlike manual surveys, which can be time-consuming and resource-intensive, Gentian provides rapid, scalable, and cost-effective habitat mapping across large areas. While our technology complements traditional fieldwork, it offers a consistent, remote-first approach that reduces reliance on site visits and improves long-term monitoring.