A novel statistical approach demonstrates how to reduce bias in remote sensing estimates of soil moisture and latent heat flux coupling strength and clarifies the relationship between the variables.
Remote sensing
Posted inResearch Spotlights
Improving Water Resources Management with Satellite Data
An extensive review reveals that remote sensing is changing the way we manage water resources and suggests that the coming years will bring both exciting advancements and new challenges.
Posted inScience Updates
Mapping and Monitoring Soil Moisture in Forested Landscapes
Monitoring Forest Soil Moisture for a Changing World; Ann Arbor, Michigan, 15–17 May 2018
Posted inScience Updates
How Much Land Surface Is Under Water at Any Given Time?
NASA Workshop on Remote Sensing of Inundation Extent; Boulder, Colorado, 21–22 May 2018
Posted inEditors' Vox
Seeing Surface Water From Space
Satellite-based optical sensors can detect, measure and monitor changes in lakes, reservoirs, rivers and wetlands, providing useful data with multiple applications for science and society.
Posted inEditors' Highlights
Calibrating Hydrological Models by Satellite
Hydrological models are usually calibrated using observations of streamflow, but a new method uses remotely sensed land surface temperature for this purpose.
Posted inScience Updates
Satellites and Cell Phones Form a Cholera Early-Warning System
A new initiative combines satellite data with ground observations to assess and predict the risk of cholera outbreaks in Bangladesh’s vulnerable populations.
Posted inScience Updates
Putting Satellite Maps of Surface Water to Practical Use
2nd SWOT Application User Workshop: Engaging the User Community for Advancing Societal Applications of the Surface Water Ocean Topography (SWOT) Mission, Reston, Virginia, 5–6 April 2017
Posted inEditors' Vox
In Pursuit of Flash Flood Data
How remote sensing of streams provides valuable data for the characterization, prediction, and warning of impending flash floods.
Posted inScience Updates
Tracking River Flows from Space
Satellite observations, combined with algorithms borrowed from river engineering, could fill large gaps in our knowledge of global river flows where field data are lacking.