Published in the Journal of Remote Sensing, a team addressed a practical remote-sensing problem: how to retrieve soil moisture more accurately in regions where vegetation interferes with microwave signals.
#SoilMoisture #CYGNSS
Details: doi.org/10.34133/remotesensing.0981
On July 14, 2025, researchers published a novel approach in Journal of Remote Sensing that reimagines soil moisture retrieval from the CYGNSS satellite system.
#CYGNSS #soil
Details: spj.science.org/doi/10.34133...
New in JGR: Biogeosciences: Investigation of the Global Influence of Surface Roughness on Space-Borne GNSS-R Observations by Rahmani et al. (2025)
For the first time, scientists provide a global data set for roughness parameters to improve the accuracy of derived soil moisture through #CYGNSS observations.🛰️
🔗Check it out: doi.org/10.1029/2024...
#AGUPubs #GNSSR #Soil
Anna Valcarcel, Katie Stephens, and Ann Scheliga presented on various aspects of my group’s GNSS-R work on #CYGNSS and #SPIRE data to map surface water.
Some recent Berkeley Engineering news about our inundation product based on #CYGNSS data! engineering.berkeley.edu/news/2024/11...
Spent a fun day talking about our group’s work on #CYGNSS and chatting with faculty and students of the Stanford CEE department! Thanks @marslogander.bsky.social for the 📸!
Welcome to @bsky.app you all! Check out one of our recent papers on mapping surface water with #CYGNSS: agupubs.onlinelibrary.wiley.com/doi/full/10....
Go #CYGNSS !!!!