Global Navigation Satellite System reflectometry (GNSS-R) is an emerging technique used for the remote sensing of soil surfaces. In this work, a bistatic radar equation method was implemented for soil moisture remote sensing using GNSS-R. Both direct and reflected GPS signals were collected by a fully software receiver mounted onboard an aircraft. The reflected signal was processed with an open loop approach, obtaining delay-Doppler maps (DDMs) and the corresponding delay waveforms. Signal to noise ratio (SNR) time series were estimated from non-coherently integrated delay waveforms. To take into account variations in system parameters from nominal values, a calibration was performed in regard to signals reflected from a water lake. Finally, a retrieval process to estimate the permittivity of soil surfaces from the evaluated SNR was applied and the results showed good correlation with the status of field flooding.

A Fully Software GNSS-R Receiver for Soil Monitoring / Pei, Yuekun; Notarpietro, Riccardo; Savi, Patrizia; Dovis, Fabio. - In: INTERNATIONAL JOURNAL OF REMOTE SENSING. - ISSN 0143-1161. - STAMPA. - 35:6(2014), pp. 2378-2391. [10.1080/01431161.2014.894662]

A Fully Software GNSS-R Receiver for Soil Monitoring

PEI, YUEKUN;NOTARPIETRO, RICCARDO;SAVI, Patrizia;DOVIS, Fabio
2014

Abstract

Global Navigation Satellite System reflectometry (GNSS-R) is an emerging technique used for the remote sensing of soil surfaces. In this work, a bistatic radar equation method was implemented for soil moisture remote sensing using GNSS-R. Both direct and reflected GPS signals were collected by a fully software receiver mounted onboard an aircraft. The reflected signal was processed with an open loop approach, obtaining delay-Doppler maps (DDMs) and the corresponding delay waveforms. Signal to noise ratio (SNR) time series were estimated from non-coherently integrated delay waveforms. To take into account variations in system parameters from nominal values, a calibration was performed in regard to signals reflected from a water lake. Finally, a retrieval process to estimate the permittivity of soil surfaces from the evaluated SNR was applied and the results showed good correlation with the status of field flooding.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2518579
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