A new study published in Big Earth Data systematically evaluates the data quality of Volunteered Geographic Information (VGI) in ecological conservation applications. Focusing on red-crowned crane habitats in Hokkaido, Japan, the research compares VGI data from eBird and OpenStreetMap (OSM) against authoritative datasets from GBIF and CASEarth. The findings indicate that while VGI demonstrates higher thematic accuracy and broader spatial coverage for vector-based species distribution data, OSM exhibits significant classification errors and coverage gaps in raster-based land use data, particularly for croplands and grasslands. This study underscores the critical need for tailored validation strategies across different VGI types to enhance their utility in ecological research.

SWIFTT is a forest management platform that combines the rich Copernicus Sentinel satellite data and powerful machine learning models. It helps foresters identify changes in tree health, map dieback in their forests and coordinate sanitary cuts, map windthrow damage, and identify areas at high risk of and damaged by wildfires.

Researchers from the Earth-Life Science Institute (ELSI) and National Institute for Basic Biology have developed a new method to detect extraterrestrial life without relying on traditional biosignatures. By modelling how life might spread between planets, they demonstrate that life could be detected through statistical patterns across planetary populations rather than on individual planets. This "agnostic biosignature" approach could assist in guiding future searches for life beyond Earth.

Latest research led by Professor Zhonghua YAO of the Department of Earth and Planetary Sciences (DEPS) at The University of Hong Kong (HKU) has found that auroras on Saturn behave markedly differently from those on Earth, appearing uneven and shifted to one side rather than forming the familiar symmetrical rings around the poles. Analysing archival data from NASA’s Cassini mission, the team shows that Saturn’s rapid rotation fundamentally reshapes its magnetic environment, driving this off-centre magnetic bubble pattern.

The Subaru Telescope observed the interstellar comet 3I/ATLAS (C/2025 N1) on January 7, 2026 (UT), after it made its closest approach to the Sun. By observing colors in the coma around the comet, astronomers could estimate the ratio of carbon dioxide to water. This ratio is much lower than that inferred from earlier observations by space telescopes. These findings suggest that the chemistry of the coma is evolving over time and offers clues to the structure of comet 3I/ATLAS.