Satellite sensing has transformed hydrology by providing global information on variables and fluxes. Breakthroughs will come from integrating sensing information and cross-disciplinary approaches.
Hundreds of slow-moving landslides’ deformation patterns were inverted to obtain their thickness and frictional strength, revealing that larger landslides are weaker and thinner than smaller ones.
A clever combination of hydrologic modelling and discharge estimates from the Landsat satellite provides good discharge estimates throughout the Missouri river basin.
Scientists leverage long-term environmental measurements, emerging satellite observations, and recent modeling advances to examine changes in ecosystem carbon and water cycling.
Ensemble learning models for estimating past changes of terrestrial water storage from climate are presented and tested in the Pearl River basin, China.
A new map of global river systems is based on crowdsourcing and the latest topography data sets.
The first study to simultaneously investigate precipitation and cloud structures in tropical weather systems concludes observation systems significantly overestimate the height of raining clouds.
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.
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.
Monitoring Forest Soil Moisture for a Changing World; Ann Arbor, Michigan, 15–17 May 2018