hyperspectral
Imagery

The world’s most advanced and unique Hyperspectral imagery

Pixxel imagery

The next level of detail

Through a tactical collaboration with Pixxel, European Space Imaging (EUSI) now provides access to the world’s most advanced hyperspectral imagery, capturing information across up to 250 bands with 5-meter resolution and daily revisits. This partnership unlocks unparalleled capabilities for detecting features and materials in sectors such as agriculture, energy, mining, and forestry. Pixxel’s unique sensor features, combined with EUSI’s expertise in building insights and products, enable precise change detection and decision-making, setting a new benchmark for remote sensing applications.

250 spectral bands

Covering both Visible-Near Infrared (VNIR) and Short-Wave Infrared (SWIR)

5-meter spatial resolution

The highest available for commercial hyperspectral satellites

Daily global access

Ensuring frequent and up-to-date imaging

WHAT MAKES HYPERSPECTRAL SPECIAL?

Hyperspectral imaging (HSI) is a technique that captures information across hundreds of spectral bands, extending beyond the visible spectrum into the infrared. Unlike traditional imaging, which assigns primary colors (red, green, blue) to each pixel, HSI analyzes a wide range of wavelengths, effectively creating a spectral fingerprint of the Earth. This fine wavelength resolution enables the detection of features and materials that conventional satellites cannot see, unlocking a wide array of applications in environmental monitoring, agriculture, energy, mining, and other sectors. Each pixel in a hyperspectral image contains a complete spectrum, providing detailed insights into the composition and characteristics of the imaged scene.

Hyperspectral bands graphic
Pixxel Logo

Pixxel is a space data company building a constellation of the world’s highest-resolution hyperspectral earth imaging satellites and the analytical tools to mine insights from the data. The constellation will aim to provide global coverage every 24 hours and help detect, monitor, and predict global phenomena across agriculture, mining, environment and energy use cases.

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