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Single-pass soil moisture retrievals using GNSS-R: lessons learned

Author

Camps Carmona, Adriano José

Hyuk, Park

Castellví Esturi, Jordi

Corbera, Jordi

Ascaso, Emili

Other authors

Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions

Universitat Politècnica de Catalunya. Departament de Física

Universitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions

Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció

Publication date

2020-06-01

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Abstract

In this paper, an algorithm to retrieve surface soil moisture from GNSS-R (Global Navigaton Satellite System Reflectometry) observations is presented. Surface roughness and vegetation effects are found to be the most critical ones to be corrected. On one side, the NASA SMAP (Soil Moisture Active and Passive) correction for vegetation opacity (multiplied by two to account for the descending and ascending passes) seems too high. Surface roughness effects cannot be compensated using in situ measurements, as they are not representative. An ad hoc correction for surface roughness, including the dependence with the incidence angle, and the actual reflectivity value is needed. With this correction, reasonable surface soil moisture values are obtained up to approximately a 30° incidence angle, beyond which the GNSS-R retrieved surface soil moisture spreads significantly.

This work has been funded by the Spanish MCIU and EU ERDF project (RTI2018-099008-B-C21) “Sensing with pioneering opportunistic techniques” and grant to ”CommSensLab-UPC” Excellence Research Unit Maria de Maeztu (MINECO grant MDM-2016-600), and by a Doctorat Industrial grant from ICGC.

Peer Reviewed

Postprint (published version)

Document Type

Article

Language

English

Subjects and keywords

Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció; Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Satèl·lits i ràdioenllaços; Remote sensing; Artificial satellites in remote sensing; GNSS-R; Reflectivity; Surface roughness; Vegetation; Soil moisture; Teledetecció; Satèl·lits artificials en teledetecció

Publisher

Multidisciplinary Digital Publishing Institute (MDPI)

Related items

https://www.mdpi.com/2072-4292/12/12/2064

info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-099008-B-C21/ES/SENSING WITH PIONEERING OPPORTUNISTIC TECHNIQUES/

info:eu-repo/grantAgreement/MINECO/1PE/MDM-2016-0600

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Rights

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

Open Access

Attribution-NonCommercial-NoDerivs 3.0 Spain

This item appears in the following Collection(s)

E-prints [73012]