Mirrormere Labs brings together earth observation, machine learning, and field research to help organisations understand what is actually happening on the ground at scale, and with rigour.
I am Dr. Peter Hargreaves and I use satellite data and applied data science to measure environmental and social outcomes in the places that are hardest to reach.
What I do
Many organisations working on conservation, climate, and development face the same problem: the places where change matters most are also the places where reliable data is hardest to come by. Traditional surveys are slow, expensive, and difficult to scale, while self-reported outcomes are hard to verify.
I specialise in closing that gap. By combining satellite remote sensing with machine learning and mixed-methods field research, I help organisations move beyond assumptions to evidence, by understanding what happened, how and why.
My work sits at the intersection of three things that are rarely found together: technical geospatial and data science capability, rigorous evaluation methodology, and direct field experience in some of the world's most complex environments.
Who I work with
I work with organisations that need robust, scalable approaches to measuring environmental and social change across biodiversity conservation, poverty reduction and livelihoods, climate adaptation, and natural resource management.
I have delivered work for organisations including: Mastercard Foundation, Rockefeller Foundation, Biodiversity Challenge Funds, Biodiverse Landscapes Fund, NIRAS, UK Defra, FCDO, IDRC, and WUSC (World University Service of Canada), across programmes in Sub-Saharan Africa and beyond.
My work spans nature-based solutions, biodiversity conservation, climate adaptation, natural capital assessment, and the socioeconomic outcomes of landscape-scale change, particularly in contexts where robust, independent evidence is scarce.