Using both sample data and crowdsourced science, a new model effectively identified houses at risk for higher concentrations of lead.
apps & software
Posted inNews
Satellite and on-the-Ground Data Help Monitor Groundwater in India
Village volunteers use remote sensing and manual measurement to help farmers use groundwater more efficiently.
Posted inNews
Crowdsourced Science Helps Map Vancouver’s “Smellscape”
Exposure to stinky odors can affect human health, but quantifying smells can be difficult.
Posted inNews
Indian Cities Prepare for Floods with Predictive Technology
The number and intensity of floods are increasing—they can inundate neighborhoods in Chennai in just 15 minutes. New models can pinpoint and help warn vulnerable areas hours or even days in advance.
Posted inResearch Spotlights
Using Cell Phones as Space Weather Vanes
Tiny magnetometers have turned your phone into a compass, and new research shows they are sensitive to geomagnetic storms.
Posted inNews
A Promising Forecast for Predictive Science
A new U.S. Geological Survey report outlines how emerging technologies and cross-disciplinary collaborations are expected to empower new tools for managing hazards and resources.
Posted inScience Updates
A Pandemic Pivot in Earth Science Outreach and Education
For some educators, restrictions imposed by COVID-19 created space for innovation and affirmed the value of online tools and learning environments for increasing access to and engagement with science.
Posted inAGU News
A Streetcar for the Digital Age
A Streetcar to Subduction for the digital age: AGU revises a classic guidebook using Google Earth.
Posted inOpinions
Improving Reproducibility in Earth Science Research
Earth scientists need software technology that better integrates legacy data with current and future processing capabilities so they can assess and reproduce their colleagues’ results.
Posted inOpinions
It’s Time to Shift Emphasis Away from Code Sharing
Building well-documented, citable frameworks for Earth data analysis will encourage scientific replicability by addressing the underlying issues that inhibit code sharing.