Key Takeaway
Advancements in Earth observation (EO) through satellite and AI integration are transforming climate intelligence. Over half of essential climate variables can only be measured from space, with the sector projected to generate over two exabytes of data by 2032. Historically, slow processing and limited access hindered data utilization. However, enhanced satellite sensors now provide more detailed observations, while modern AI and machine learning platforms can process vast datasets in near real-time, converting raw images into insights within minutes. Additionally, smaller satellites enable more organizations, including SMEs, to access and deploy their own EO systems.
Advancements in Satellite and AI Integration
Earth observation (EO) involves the collection and analysis of data regarding the planet’s systems, primarily through satellite remote sensing.
More than half of all critical climate variables can only be measured from space, positioning EO at the core of climate intelligence.
The sector is projected to generate over two exabytes of data by 2032.
Historically, the utilization of this data has been hindered by slow processing speeds and limited access.
Recent technological advancements are eliminating these obstacles, with improved satellite sensors offering more detailed and frequent observations.
Modern AI and machine learning platforms can now process these vast datasets in near real-time, transforming raw satellite images into climate insights within minutes.
Machine learning models can provide predictions up to 1,000 times faster than previous methods.
The emergence of smaller satellites also enables more organizations, including SMEs, to access and deploy their own systems.
