V
Valery U. Zavorotny
Researcher at University of Colorado Boulder
Publications - 95
Citations - 5478
Valery U. Zavorotny is an academic researcher from University of Colorado Boulder. The author has contributed to research in topics: Global Positioning System & Bistatic radar. The author has an hindex of 29, co-authored 95 publications receiving 4561 citations. Previous affiliations of Valery U. Zavorotny include National Oceanic and Atmospheric Administration & Cooperative Institute for Research in Environmental Sciences.
Papers
More filters
Journal ArticleDOI
Scattering of GPS signals from the ocean with wind remote sensing application
TL;DR: A theoretical model that describes the power of a scattered GPS signal as a function of geometrical and environmental parameters has been developed, suggesting mapping of the wave-slope probability distribution in a synthetic-aperture-radar (SAR) fashion to allow more accurate measurements of wind velocity and wind direction.
Journal ArticleDOI
Tutorial on Remote Sensing Using GNSS Bistatic Radar of Opportunity
TL;DR: A new remotesensing technique to use reflected GNSS signals for remote-sensing applications is described, some of the interesting results that have been already obtained are discussed, and an overview of current and planned spacecraft missions is given.
Journal ArticleDOI
Use of GPS receivers as a soil moisture network for water cycle studies
TL;DR: In this article, GPS-derived estimates from a 300 m2 area closely match soil moisture fluctuations in the top 5 cm of soil measured with conventional sensors, including the rate and amount of drying following six precipitation events.
Journal ArticleDOI
Wind speed measurement using forward scattered GPS signals
TL;DR: Instrumentation and retrieval algorithms are described which use the forward scattered range-coded signals from the global positioning system (GPS) radio navigation system for the measurement of sea surface roughness.
Journal ArticleDOI
Can we measure snow depth with GPS receivers
Kristine M. Larson,Ethan Gutmann,Valery U. Zavorotny,John Braun,Mark W. Williams,Felipe G. Nievinski +5 more
TL;DR: In this article, it is shown that changes in snow depth can be clearly tracked in the corresponding multipath modulation of the GPS signal, which can be used to estimate snow depth.