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University of Sydney Researcher Maps Martian Soil to Identify Optimal Sites for Future Greenhouses

Confirmed1 source · Oct 19, 2026

A comprehensive classification system covering 92% of Mars's surface has identified soil types most suitable for plant cultivation, with one class scoring highest for water retention and clay content.

University of Sydney Researcher Maps Martian Soil to Identify Optimal Sites for Future Greenhouses
Image via The Debrief

What happened

Daniel Irving, a PhD student at the University of Sydney, created the first large-scale Martian soil map by combining orbital data and planetary models to classify 800 million locations across Mars into 2,000 soil types organized into a system called the Provisional Polythetic Areth Classification System (PPACS). The team evaluated each soil class for properties supporting plant growth—including water-holding capacity, texture, mineralogy, pH, and clay/gravel content—and assigned viability scores. Nohibareth, identified as the highest-scoring soil class with a PPACS score of 0.93, features a pH of 6.8, 72 percent clay, minimal sand or gravel, and an estimated water-holding capacity of 202 millimeters per meter. This soil type is found around Mars's middle latitudes, including Tharsis, central Arabia Terra, and Elysium Planitia, but comprises only 0.14 percent of the planet's surface. The researchers found that 73 percent of soil forms evaluated had poor water retention, scoring below 0.3 on the PPACS.

Context

The mapping system provides a framework for identifying candidate locations where future Mars colonists or research bases could establish greenhouses using local soil resources rather than relying on regular Earth supply missions. However, the researchers emphasize these are candidates for closer investigation rather than selected sites, and they acknowledge significant limitations: Martian soil lacks organic compounds, the map does not account for factors like perchlorate toxicity or nitrogen availability, and soil depth profiles are not included. The work also establishes a standardized way to organize and compare data from ongoing Mars rovers and missions, creating a foundation that can be refined as new planetary science data becomes available.