Estimation of soil moisture from Rongowai GNSS-R using machine learning
Author:
Affiliation:
1. University of Canterbury,Geospatial Research Institute,Christchurch,New Zealand
2. University of Auckland,Dept. Elec., Comp. & Software Eng.,Auckland,New Zealand
3. University of Michigan,Dept. Climate & Space Sci. & Eng.,Ann Arbor,United States
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10543250/10544374/10544715.pdf?arnumber=10544715
Reference21 articles.
1. The CYGNSS nanosatellite constellation hurricane mission;Ruf
2. Use of Cyclone Global Navigation Satellite System (CyGNSS) Observations for Estimation of Soil Moisture
3. A CYGNSS‐Based Algorithm for the Detection of Inland Waterbodies
4. Rongowai: A pathfinder NASA/NZ GNSS-R initiative supporting SDG-15 - Life on Land;Moller
5. Soil moisture estimation from CYGNSS using machine learning;Datta;AGU Fall Meeting Abstracts,2022
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