Monitoring a Moving Planet
THE CHALLENGE
Environmental Change Is Accelerating, Monitoring Isn’t
Deforestation, land degradation, wildfire risk, biodiversity loss, extreme weather, and water stress are now daily realities, and monitoring systems are struggling to keep pace.
Forest loss and illegal encroachment can go undetected for weeks, while many rivers, lakes, and coastal zones are monitored only intermittently, leaving major gaps in water quality and ecosystem data.
Weather and climate networks also face blind spots in mountains, polar regions, open oceans, and remote basins where terrestrial coverage doesn’t reach. As ecosystems shift faster than they are measured, decision-makers are increasingly left reacting to damage rather than managing risk proactive
THE INSIGHTS
Why Environmental Monitoring Is Moving Beyond Ground Only Networks
Field stations and surveys are vital, but they can’t deliver the scale or frequency modern environmental programs need. By combining satellite imagery with connected sensors, agencies gain ecosystem level visibility: multi-temporal imagery tracks deforestation, land degradation, wetland loss, and coastline change; satellite linked water quality probes keep key parameters online even offshore; and satellite-connected weather sensors extend observation networks into regions unreachable by terrestrial systems.
When orbital and field data work together, environmental monitoring becomes continuous, scalable, and operationally effective.
THE SOLUTIONS
Observa and Connecta Unite for the Environment
Satellite connected devices link water-quality probes, aquaculture systems, structural sensors, and remote stations without relying on cellular networks. Ultra-efficient LoRaWAN® modems run for years on solar or battery power, making them ideal for buoys, cages, gauges, and off-grid weather nodes.
Continuous streams of oxygen, temperature, pH, turbidity, salinity, wind, rainfall, and river-level data flow directly into cloud, SCADA, or environmental platforms.
Observa converts multi-modal satellite imagery into analysis-ready environmental insight. Optical, multispectral, and thermal data reveal stress, change, and anomalies across forests, wetlands, watersheds, coastal zones, and other sensitive landscapes.
AI-driven workflows detect deforestation, land degradation, illegal activity, biomass shifts, and shoreline dynamics within a unified monitoring layer. Standardized products and automated pipelines enable land-cover classification, temporal comparison, and anomaly screening at both national and ecosystem scales.




















































