AI Model Harnesses Physics to Autocorrect Remote Sensing Data

Turbulence, temperature changes, water vapor, carbon dioxide, ozone, methane, and other gases absorb, reflect, and scatter sunlight as it passes through the atmosphere, bounces off the Earth’s surface, and is collected by a sensor on a remote sensing satellite. As a result, the spectral data received at the sensor is distorted. Scientists know this and have devised several ways to account for the atmosphere’s corrupting influence on remote sensing data.