Efficiently tracking nature’s engineers—beavers—at the scale of entire watersheds over time is now possible, thanks to a new artificial intelligence–trained model called EEAGER.
Ocean data abound, but accessing them is a challenge, making tackling climate change difficult. One nonprofit is trying to compile them.
Large data sets can be generated using deep learning to improve the design of observation networks for monitoring subsurface flow and transport.
Big Earth data are accumulating at a rapid rate with challenges for understanding and using the data, but new tools and applications are enabling analysis and enhancing usability by policy makers.
South African scientists map uninhabited islands in the Southern Ocean.
A new special collection invites papers pertaining to the use of machine learning techniques in all sub-fields of heliophysics.
Extrapolation or not? Big data may help deep learning to go places where it has not been before by transferring learned hydrologic relationships.
NASA wants to send instruments to distant moons like Europa and Enceladus to search for life. But getting vital data back to Earth over limited bandwidth will take some impressive compression software.
La información compartida en las plataformas de redes sociales podría ayudar a los científicos a recopilar datos en tiempo real y ayudar a las agencias en los esfuerzos de ayuda.
A new book explores how Earth science knowledge addresses critical global challenges including sustainable development, disaster risk reduction, and climate change.