Data Fusion Provides a High-Definition Look At Mars’ Temperature Maps

In-situ Resource Utilization (ISRU) is our best bet for “living off the land” for a future Martian base, but tracking down those resources is no easy task. As of now, we have two options – send a rover to a specific location to scout it, or monitor it from orbit. Since rovers are expensive, and there are an absolute ton of sites that we would eventually want to scout, doing so from orbit would seem a better option. But monitoring for temperature, one of the most important orbital scans we can do, is notoriously blurry – based in part on the fact that most of the main instruments used to collect data on it are a few decades old. Now, a paper from researchers at Curtin University in Australia presented at the International Astronautical Congress meeting last September uses a fancy AI-like algorithm to improve that thermal resolution, and, as a result, provided a much better map to some of the most important resources we’ll be looking for.