GESat
A new generation of satellite constellation for high resolution atmospheric change detection.
Initially designed to designed to detect and quantify greenhouse gas emissions and environmental changes at unprecedented precision, GESat combines advanced active optical technologies and physics-guided artificial intelligence models to transform complex satellite data into actionable insights.
From industrial emissions monitoring to wildfire detection, air quality assessment, and extreme weather observation, GESat provides continuous, operational environmental intelligence supporting climate resilience, sustainability strategies, and informed decision-making worldwide.
Hyperspectral data use case
Unveiling the invisible to secure energy, reduce risks and optimize resources.
In the high-stakes arena of global energy, hyperspectral satellite data acts as a superpower, slicing through Earth’s surface with hundreds of narrow spectral bands to expose hidden mineral signatures, vegetation stress, and subsurface anomalies invisible to ordinary eyes.
Energy giants harness this insight to slash exploration costs by pinpointing oil, gas, and critical mineral deposits with pinpoint accuracy, turning weeks of guesswork into days of data-driven certainty.
For renewables, it revolutionizes site selection for solar arrays and wind farms by mapping ideal terrain chemistry and soil stability, unlocking maximum output while dodging environmental pitfalls.
Pipeline operators and power utilities deploy it for real-time leak detection and infrastructure health checks, curbing methane emissions and preventing billion-dollar disasters before they strike. In the end, hyperspectral satellite data isn’t just intelligence from above—it’s the ultimate force multiplier propelling the energy sector toward unprecedented efficiency, sustainability, and profitability.
SOURCES & REFERENCES
- Combining vegetation index with mineral identification for detection of high-geothermal-potential zones using hyperspectral satellite data
- EU coal mines still vent methane: satellite findings from Poland
- Mapping alteration zones at Kab Amiri area, Egypt: New insights from the EnMAP hyperspectral satellite data
Detect, map and anticipate fires, even through smoke.
In the era of escalating climate threats, wildfires have become more frequent, more intense and more unpredictable. As flames spread across forests and communities, heavy smoke often blankets the landscape, rendering traditional Earth Observation tools ineffective.
In this challenging context, satellites equipped with short-wave infrared (SWIR) sensors offer a powerful advantage: the ability to detect fire through smoke, assess damage in real time and support emergency response with actionable intelligence.
Managing each hectare with precision to produce better, sustainably and profitably.
Hyperspectral satellite data is transforming agriculture into a precision powerhouse, slicing through crop canopies with hundreds of narrow spectral bands to expose nutrient deficiencies, water stress, soil variability, and early disease outbreaks that standard satellites simply cannot detect.
They analyze crops using hundreds of spectral bands to detect:
- nutrient deficiencies
- water stress
- soil variability
- early illnesses
Agri-tech innovators and farmers deploy this orbital intelligence to optimize irrigation, fertilization, and pest management across millions of hectares, slashing input costs by up to 30% while supercharging yields and slashing environmental runoff.
It delivers pixel-perfect crop-type mapping and trait retrieval—even in fragmented or semi-arid fields—turning guesswork into actionable, season-long forecasts for everything from wheat health to soil organic carbon.
SOURCES & REFERENCES
- Assessing hyperspectral sensor capabilities: PRISMA vs EnMAP for crop type mapping in a semi-arid region
- Retrieval of crop traits using PROSAIL-based hybrid radiative transfer model and EnMAP hyperspectral data
- Integrating PRISMA hyperspectral data with Sentinel-1, Sentinel-2 and Landsat data for mapping crop types and land cover in northeast Thailand
Sensing is a key contributor to Europe’s Earth observation ecosystem through its role as one of only two companies selected to deliver Atmospheric Composition data as part of the Copernicus Contributing Mission programme.
This delivery of high-quality, high-resolution methane data demonstrates Europe’s global leadership in climate monitoring, while supporting its energy independence.
The European Space Agency looks forward to continue expanding its work with Sensing on atmospheric data and climate science missions.
— Simonetta Cheli
Director of Earth Observation Programmes and Head of ESRIN – ESA