As of 2025 DAY 33, the satellite tracking website “Orbiting Now” lists 11,559 active satellites in various Earth orbits, each with missions including communications, Earth observation, technology development, navigation, space science, etc. These satellites provide us with an unprecedented view of Earth, enabling real-time monitoring and granular data collection. From tracking deforestation in the Amazon to monitoring agriculture yields across different continents, these ‘eyes in the sky’ generate a massive volume of data that gives valuable information about our planet’s health and human activities that have changed the natural earth’s surface. However, this sheer volume and complexity of such data lead us to an exciting question: How can we harness artificial intelligence (AI) to make sense of this vast array of satellite imagery? Let’s explore this intersection of satellite imagery and AI, by understanding the unique characteristics of satellite data, the challenges in processing it, and the potential solutions with deep learning. 
As of 2025 DAY 33, the satellite tracking website “Orbiting Now” lists 11,559 active satellites in various Earth orbits, each with missions including communications, Earth observation, technology development, navigation, space science, etc. These satellites provide us with an unprecedented view of Earth, enabling real-time monitoring and granular data collection. From tracking deforestation in the Amazon to monitoring agriculture yields across different continents, these ‘eyes in the sky’ generate a massive volume of data that gives valuable information about our planet’s health and human activities that have changed the natural earth’s surface. However, this sheer volume and complexity of such data lead us to an exciting question: How can we harness artificial intelligence (AI) to make sense of this vast array of satellite imagery? Let’s explore this intersection of satellite imagery and AI, by understanding the unique characteristics of satellite data, the challenges in processing it, and the potential solutions with deep learning.