ABB Awarded Contract for Satellite Imaging Technology to Help Detect Environmental Changes in Real Time
ABB has been awarded a contract worth around $30 million by the Canadian data and analytics company EarthDaily Analytics Corporation (EDA) to develop and manufacture next-generation multispectral imaging systems to be placed on 10 satellites, including an in-orbit spare, that will circle the earth.
The order, booked in the first quarter of 2022, means that the EarthDaily Constellation network of satellites will provide high-quality imagery in 22 spectral bands with resolution down to five meters. As the satellites circle the Earth, ABB’s technology will continuously capture images of the Earth’s land masses and large maritime areas. Using its artificial intelligence-based analytics system, EDA will process the data gathered from the images based on any recorded changes and generate actionable insights that will include information about the state of Earth’s ecosystems, and about the impact and progress of climate changes.
Data provided by the measurements taken by the imaging systems will assist scientists in addressing other challenges such as the monitoring of crop health, conservation, sustainable resource management, and the prediction of forest fire trajectories.
ABB will collaborate with an IT solutions specialist from Xiphos Systems corporation on high-performance processing electronics, and with Loft Orbital, the space infrastructure service provider for EarthDaily Constellation.
Scientists Unveil Better Mixing Rule for Absorption Spectroscopy of Aerosols and Colloids
June 16th 2025Researchers have introduced a simple yet powerful new rule based on Rayleigh scattering theory that accurately links the absorption behavior of composite media, like aerosols or colloids, to the properties of their nanoparticle constituents.
Short Tutorial: Complex-Valued Chemometrics for Composition Analysis
June 16th 2025In this tutorial, Thomas G. Mayerhöfer and Jürgen Popp introduce complex-valued chemometrics as a more physically grounded alternative to traditional intensity-based spectroscopy measurement methods. By incorporating both the real and imaginary parts of the complex refractive index of a sample, this approach preserves phase information and improves linearity with sample analyte concentration. The result is more robust and interpretable multivariate models, especially in systems affected by nonlinear effects or strong solvent and analyte interactions.
