Computation Approach for Quantitative Dielectric Constant from Time Sequential Data Observed by CYGNSS Satellites
This paper describes a computation method for obtaining dielectric constant using Global Navigation Satellite System reflectometry (GNSS-R) products. Dielectric constant is a crucial component in the soil moisture retrieval process using reflected GNSS signals. The reflectivity for circular polarize...
Main Authors: | Junchan Lee, Sunil Bisnath, Regina S.K. Lee, Narin Gavili Kilane |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/11/2032 |
Similar Items
-
Temporal-Spatial Soil Moisture Estimation from CYGNSS Using Machine Learning Regression With a Preclassification Approach
by: Yan Jia, et al.
Published: (2021-01-01) -
Evaluations of a Machine Learning-Based CYGNSS Soil Moisture Estimates against SMAP Observations
by: Volkan Senyurek, et al.
Published: (2020-10-01) -
First Measurement of Soil Freeze/Thaw Cycles in the Tibetan Plateau Using CYGNSS GNSS-R Data
by: Xuerui Wu, et al.
Published: (2020-07-01) -
Above-Ground Biomass Retrieval over Tropical Forests: A Novel GNSS-R Approach with CyGNSS
by: Hugo Carreno-Luengo, et al.
Published: (2020-04-01) -
Improving CyGNSS-Based Land Remote Sensing: Track-Wise Data Calibration Schemes
by: Qingyun Yan, et al.
Published: (2021-07-01)