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2 asteroid flybys yield new closeup images
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2 asteroid flybys yield new closeup images

Japanese and Chinese space agencies completed 2 asteroid flybys in early July. Read more about the asteroids and see the closeup images here!

Original source cited and editorially framed by Cosmos Week. EarthSky
Editorial signatureCosmos Week Editorial Desk
Published07 Jul 2026 14: 55 UTC
Updated2026-07-07
Coverage typeScience journalism
Evidence levelJournalistic coverage
Read time4 min read

Key points

  • Focus: Japanese and Chinese space agencies completed 2 asteroid flybys in early July. Read more about the asteroids and see the closeup images here!
  • Detail: Science reporting: verify primary technical documentation
  • Editorial reading: science reporting; whenever possible, verify the cited primary source.
Full story

Japanese and Chinese space agencies completed 2 asteroid flybys in early July. Read more about the asteroids and see the closeup images here! The post 2 asteroid flybys yield new closeup images first appeared on EarthSky. 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. The post 2 asteroid flybys yield new closeup images first appeared on EarthSky. The Japanese space agency (JAXA) just shared an image from the Hayabusa2 mission to asteroid Torifune.

2 asteroid flybys yield new closeup images Space agencies from both China and Japan have just shared images from flybys of two different asteroids in our solar system. On July 2, 2026, China’s Tianwen-2 probe flew past asteroid Kamo’oalewa from a distance of just 12.5 miles (20 km).

Then on July 5, 2026, Japan’s Hayabusa2 flew past asteroid Torifune from a mere 6 miles (10 km) distant. Tianwen-2’s target is the asteroid Kamo’oalewa, which is a near-Earth asteroid.

A 2024 study showed Kamo’oalewa might have once been a part of the moon that blasted off during an impact that formed the lunar crater Giordano Bruno. China’s mission to the asteroid began back on May 29, 2025, with the launch of Tianwen-2.

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.

The mission launched to space in December 2014. In 2020, Hayabusa2 rendezvoused with Ryugu and took samples that it sent back to Earth.

Because this item comes through EarthSky 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.

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