A new study compares the accuracy of three observation-based methods of calculating snow water equivalent, a key component in water management.
remote sensing
Posted inEditors' Highlights
Toward Forecasting Crop Productivity and Carbon Flux Anomalies
Quantifying reductions in U.S. Midwest crop productivity and carbon uptake due to 2019 flooding using combined satellite observations of solar-induced chlorophyll fluorescence and atmospheric CO2.
Posted inNews
Leveraging Satellite Sensors for Oil Spill Detection
By using multiple remote sensors, scientists can quickly estimate the nature and thickness of oil spills—important factors for containment efforts.
Posted inResearch Spotlights
River Deltas at the Top of the World
The water that filters through river deltas has a large effect on the Arctic Ocean. A new study explores factors that shape Arctic river deltas and how delta form in turn changes water flow.
Posted inScience Updates
A Shared Resource for Studying Extreme Polar Environments
A new community pool of seismic instrumentation will facilitate and advance geologic and cryospheric research in Earth’s ice-covered environments.
Posted inNews
Mapping Lightning Strikes from Space
A new technique spatially tracks lightning in real time and has been adapted by the National Weather Service.
Posted inEditors' Vox
Insights from Space: Satellite Observations of Arctic Change
New satellite instruments and data, plus a more comprehensive observing network, are key to increasing our understanding of past and future change in the Arctic Boreal Zone.
Posted inNews
Taal Eruption and Ashfall Continue; Thousands Still at Risk
The Philippines’ volcanology institute warns that a hazardous eruption of Taal is imminent. In the past, Taal’s eruptions have lasted months and even years.
Posted inNews
Using Satellites and Supercomputers to Track Arctic Volcanoes
New data sets from the ArcticDEM project help scientists track elevation changes from natural hazards like volcanoes and landslides before, during, and long after the events.
Posted inResearch Spotlights
Forecasting Volcanic Eruptions with Artificial Intelligence
A machine learning algorithm automatically detects telltale signs of volcanic unrest.