Cosmos Week
Drones Scanning Earth's Glaciers Are Paving the Way for Future Mars Helicopters
Earth scienceEnglish editionScience journalismJournalistic coverage

Drones Scanning Earth's Glaciers Are Paving the Way for Future Mars Helicopters

Mars has lots of glaciers located along its mid-latitudes. We’ve known this for years thanks to the Mars Reconnaissance Orbiter’s SHARAD sounder.

Original source cited and editorially framed by Cosmos Week. Universe Today
Editorial signatureCosmos Week Editorial Desk
Published05 May 2026 11: 07 UTC
Updated2026-05-05
Coverage typeScience journalism
Evidence levelJournalistic coverage
Read time4 min read

Key points

  • Focus: Mars has lots of glaciers located along its mid-latitudes. We’ve known this for years thanks to the Mars Reconnaissance Orbiter’s SHARAD sounder
  • Detail: Science reporting: verify primary technical documentation
  • Editorial reading: science reporting; whenever possible, verify the cited primary source.
Full story

Mars has lots of glaciers located along its mid-latitudes. We’ve known this for years thanks to the Mars Reconnaissance Orbiter’s SHARAD sounder. The science-journalism coverage adds useful context, while the strongest evidential footing still comes from the underlying data, papers or institutional documentation.

That matters because Earth science becomes stronger when local observations can be placed inside a broader physical pattern that spans time and geography. The planet operates as a coupled system in which atmospheric, oceanic, cryospheric and solid-Earth processes interact across timescales from days to millions of years. A measurement that captures one variable at one location and one moment has limited interpretive value until it is embedded in the longer series and wider spatial coverage that allow natural variability to be separated from forced change. We’ve known this for years thanks to the Mars Reconnaissance Orbiter’s (MRO’s) SHARAD sounder. A new study, published in the journal JGR Planets, details a potential method of finding that boundary, by using a drone.

The debris that rests on top of them stops the sublimation that would otherwise cause the entire glacier to disappear into Mars’ thin atmosphere. Ingenuity, the helicopter that performed the first powered flight on another planet, has created a rush of enthusiasm for drone-like systems to explore parts of Mars that it would.

A DJI Matrice 600 Pro drone equipped with a MALA Geodrone 80 MHz ground penetrating radar (GPR) module. After validating the data against 3D simulations of clutter, they then compared their drone-based results to those of surface-based GPR instruments that had been used to.

Results from the Sourdough Rock Glacier in Alaska matched well in terms of both the glacier’s thickness and also the debris thickness on top of it, with a measured glacial. In Wyoming, the drone measured the thickness of the glacier to be 48.6 m, and the thickness of debris to range between 0.8 m and 1.3 m in some zones.

The broader interest lies in linking the observation to climatic, geophysical or environmental dynamics that extend well beyond the immediate event or location. Earth science is unusual in that its most important questions operate on timescales that no single research career can observe directly, making the archival record, whether in ice, sediment, rock or satellite data, as important as any new measurement. Results that can be embedded in that record, and that either confirm or challenge the patterns it reveals, carry disproportionate scientific weight.

However, the GPR it used on the drone was only 80 MHz, causing it some weakness when detecting the shallowest of debris layers. It also had difficulty detecting some of the deepest bedrock layers, especially compared to a 50 MHz surface-based system.

Because this item comes through Universe Today as science journalism, it should be treated as contextual reporting rather than primary evidence. Good science reporting can identify why a result matters, connect it to the wider literature and make technical work readable, but the decisive evidence remains in the original paper, dataset, mission release or technical record. That distinction is especially important when a story is later repeated by aggregators, because repetition increases visibility, not evidential strength.

The next step is to place the result inside longer time series and to compare it with independent instruments and independent sites. Earth system observations gain most of their interpretive power from network density and temporal depth, not from any single measurement however precise. Model simulations that assimilate the new data will help clarify whether the observation fits comfortably within known natural variability or represents a shift that existing models do not reproduce.

Source