Big Earth Data Journal is calling for papers for a Special Issue on 10th Anniversary Special Issue of Big Earth Data. The journal has published pioneering research that leverages Earth observations, big data analytics, and interdisciplinary collaboration to address global challenges, including climate change, biodiversity loss, sustainable urbanization, disaster monitoring, etc. To celebrate the journal’s 10th anniversary, we invite submissions to a special issue that reflects on the journal’s decade-long impact, showcases cutting-edge advancements in Big Earth Data research, and defines future directions for the field. This special issue will not only honor the progress made but also encourage the community to tackle emerging challenges and seize opportunities in the next era of data-driven Earth science. Welcome to submit!

New research led by scientists at the University of Wisconsin–Madison has uncovered chemical signatures in zircons, the planet’s oldest minerals, that are consistent with subduction and extensive continental crust during the Hadean Eon, more than 4 billion years ago. The findings challenge models that have long considered Earth's earliest times as dominated by a rigid, unmoving “stagnant lid” and no continental crust, with potential implications for the timing of the origin of life on the planet.  

Chemicals brought in to help protect our ozone layer have had the unintended consequences of spreading vast quantities of a potentially toxic ‘forever chemical’ around the globe, a new study shows.

New research led by the University of East Anglia (UEA) shows how many tropical cities are predicted to warm faster than expected under 2°C of global warming.

Cities are often warmer than rural areas due to a phenomenon known as the urban heat island, which can be influenced by various factors, such as regional climate and vegetation cover. This can lead to increased heat-related health risks for some urban populations.

Published in Proceedings of the National Academy of Sciences (PNAS), the study combined state-of-the-art climate change projections with machine learning models to show how these urban heat islands can be amplified in many tropical and subtropical cities under climate change - mostly in monsoon regions such as India, China and Western Africa.