I help mission-driven organizations use geospatial data and machine learning to protect land, reduce risk, and monitor the impacts of climate change.
I have nearly a decade working at the intersection of earth observation, ML, and climate strategy: with conservation organizations, public agencies, and enterprise clients who need technical depth and strategic clarity.
Ecosystem services modeling
Mapping what landscapes actually do — flood attenuation, carbon storage, urban cooling, habitat quality, stormwater retention. Analysis built to hold up scientifically and communicate clearly to the people making funding and land decisions.
Park access & equity analysis
Automated feature extraction and access gap mapping at national scale, including ParkServe work with the Trust for Public Land. ML pipelines that turn imagery into park investment intelligence.
Wildfire risk & landscape monitoring
Satellite-based risk assessment, burn severity mapping, and vegetation monitoring for utilities, land managers, and agencies. Built for operational use, analysis designed for real decisions.
Food systems & working lands
Spatial modeling of agricultural landscapes, land-use change, and supply chain geography across the Northeast: for planners, regional food initiatives, and conservation organizations working at the agriculture-land nexus.
Geospatial strategy & architecture
Technical strategy for organizations building or scaling geospatial programs — workflow design, data infrastructure, ML pipeline architecture, and go-to-market planning. From early-stage program buildout to enterprise-scale systems.
Background
My past work spans enterprise remote sensing at scale, supporting clients including state and federal agencies, electric utilities, and Fortune 500 companies through roles at Planet and Orbital Insight — alongside applied geospatial and ML advisory for mission-driven clients including the Trust for Public Land.
Interested in working together? Drop me a line: noah@tidelinegeospatial.com