Noah Berkowitz — GIS & Geospatial Data Science

Remote sensing, spatial analysis, machine learning, and applied geospatial research.

Contact

Professional contact

For municipal GIS, research collaboration, speaking, or public-interest geospatial projects, connect with Noah on LinkedIn.


Good reasons to get in touch

Municipal GIS

Enterprise mapping, infrastructure data, public information, address data, elections, utilities, and operational workflows.

Remote sensing

Land-cover classification, change detection, crop and land-management questions, and environmental monitoring.

Spatial-data workflows

GIS databases, quality control, Python, SQL, Google Earth Engine, automation, spatial statistics, and reproducible processing.

Research collaboration

Applied geospatial work connecting public service, environmental analysis, planning, public health, and decision support.

Code and geospatial resources

Browse Noah’s public GitHub repositories for code, scripts, and reusable GIS workflows. Full-resolution maps, project PDFs, research links, and selected Google Earth Engine resources are available on the Projects page. Earth Engine resources may require a Google account and Earth Engine access.

Browse GitHub repositories →
Explore projects and methods →

To limit unsolicited messages and protect privacy, this public site directs professional contact through LinkedIn rather than publishing a personal email address or telephone number.