Lens

Organizations responsible for large or dispersed landscapes need a scalable way to identify land-use and land-cover changes without relying entirely on costly field inspections. Lens combines satellite imagery, machine learning, and geospatial analysis in accessible remote-monitoring and reporting software for conservation programs, carbon projects, public agencies, agriculture, and utilities.

• Satellite Monitoring: Uses Earth-observation imagery to assess remotely located properties and landscapes at scale.
• Change Detection: Identifies changes in land use and land cover across successive observations.
• Machine-Learning Analysis: Applies automated analysis to imagery to make relevant landscape changes easier to find and review.
• Remote Site Oversight: Supports monitoring of extensive portfolios where frequent in-person inspection is impractical.
• Reporting and Workflows: Helps users document findings and integrate remote-monitoring results with the tools they already use.

Lens is distinctive because it makes satellite-derived monitoring approachable for a broad range of users while retaining the scientific and geospatial capabilities required for high-impact land-management decisions. Its established use by conservation organizations, government bodies, and utilities demonstrates operational maturity.