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Published on: May 1, 2018
Polarimetric instrument Global Navigation Satellite System - Reflectometry airborne data.
Karin Dassas1, Pascal Fanise1, Michel Le Page1
1CESBIO, University of Toulouse, CNES/CNRS/INRAE/IRD/UT3, 18 avenue Edouard Belin BPI 2801 31401 Toulouse Cedex 9, France.
This study introduces novel Global Navigation Satellite System - Reflectometry (GNSS-R) airborne and ground truth datasets. These resources support soil moisture and vegetation studies, aiding future space missions.
Area of Science:
- Earth and Space Science
- Remote Sensing
- Environmental Monitoring
Background:
- Global Navigation Satellite System - Reflectometry (GNSS-R) is an emerging technique for Earth observation.
- Existing datasets often lack comprehensive airborne observables and simultaneous ground validation.
- The LIAISE campaign provided a unique opportunity to collect integrated data.
Purpose of the Study:
- To release the first complete airborne GNSS-R dataset with associated ground truth measurements.
- To facilitate research in soil moisture and vegetation retrievals using GNSS-R.
- To support the calibration and validation of GNSS-R models for future space missions.
Main Methods:
- Acquisition of airborne GNSS-R data using the GLORI instrument during the LIAISE campaign.
- Collection of in-situ ground truth data, including soil moisture, roughness, and Leaf Area Index (LAI).
- Development of a land use map with ground truth plots for data evaluation.
Main Results:
- A comprehensive airborne GNSS-R dataset including reflectivity and SNR components (co- and cross-polarized) is now available.
- Simultaneous in-situ soil and land use datasets provide crucial ground validation.
- The combined datasets are archived and accessible via DOIs.
Conclusions:
- The released datasets represent a significant advancement for GNSS-R research.
- These resources are vital for advancing soil moisture and vegetation monitoring techniques.
- The data will aid in preparing for upcoming GNSS-R space missions like HydroGNSS.
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