National Highways - Intelligent Environmental Estate
The National Highways agency has committed to deliver a biodiversity net gain across the natural habitats lining their motorways and trunk roads . They also must adhere to required government regulations where all nationally significant infrastructure projects must deliver 10% biodiversity net gain.
To successfully meet these commitments and regulations, it is critical the agency understands tracks biodiversity changes across their land holdings. This is where Galago comes in to help the Intelligent Environmental Estate (IEE) project.
“Galago by Ramboll were able to combine a strong understanding of our organisation, and our key drivers, with strong technical expertise, to develop a solution that supported our activities. The outputs from the initial phases were exciting and opened our eyes on innovative options to improve our asset data knowledge and manage the environment and biodiversity across the Strategic Road Network.” ~ Ben Hewlett, Senior Environmental Advisor – Safety, Engineering and Standards, Highways England
We created a prototype system that produces network-wide digital maps of landcover and habitats using satellite imagery and machine learning. The data produced enables monitoring of biodiversity across the strategic road network in an accurate, defensible, repeatable, and cost-effective manner.
To produce network-wide habitat maps, Galago created a cloud-optimised data processing and modelling pipeline using hundreds of multitemporal satellite images and collated training data to produce well-performing machine learning models for habitat prediction.
The success of the project is in its repeatability for annual monitoring purposes. The agency can now understand change-over-time in landcover across the entire road network, identify locations of biodiversity improvement or decline, and strategically allocate resources to ensure biodiversity net gain in the short, medium, and long term.
Related case studies
Digitising the US Army Corps of Engineers
Ramboll supported the US Army Corp of Engineers (USACE) implement a digital database integration (DDI) platform and systems enabling real-time data collection, modelling, and reporting to enhance environmental remediation efforts at the Chambers Works site in Deepwater, New Jersey. The DDI platform reduces project costs and downtime, increases safety and accuracy in data collection, and enables increased performance despite the challenging and complex site conditions.
Identifying invasive species in New York
In collaboration with the New York State Department of Environmental Conservation (NYSDEC), Ramboll’s Galago team developed a pilot-scale methodology for monitoring large tracts of land for giant hogweed, an invasive plant harmful to both human and ecosystem health. Galago collected high-resolution imagery using a small, unmanned aircraft system (sUAS) or drone across approximately 1,100 acres near Hemlock-Canadice State Forest in Springwater, New York.
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Geospatial intelligence for sustainable land management and biodiversity restoration
High-resolution remote sensing for land restoration and biodiversity management.