LAGRS-Soil: A Full-Polarization GNSS-Reflectometry Model for Bare Soil Applications in FY-3E GNOS-R Payload

Author:

Wu Xuerui12ORCID,Ouyang Xinqiu3,Xia Junming4,Yan Zhe5,Wang Fang6

Affiliation:

1. Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China

2. School of Resources, Environment and Architectural Engineering, Chifeng University, Chifeng 024000, China

3. Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510060, China

4. National Space Science Centers, Chinese Academic of Sciences, Beijing 100190, China

5. Subject Service Department, Nanjing University, Nanjing 200030, China

6. School of Architectural Engineering, North China Institute of Science and Technology, Yanjiao 065201, China

Abstract

The Land Surface GNSS Reflection Simulator (LAGRS)-Soil model represents a significant advancement in soil moisture detection with the aid of Global Navigation Satellite System (GNSS) Occultation Sounder-Reflectometry (GNOS-R) technology, which is one payload of the Fengyun-3E (FY-3E) satellite that was launched on 5 July 2021. To fully exploit the properties of noncoherent scattering, the LAGRS-Soil model has the capability to calculate DDM information for different observational geometries, which relies on the random surface scattering models employed in LAGRS-Soil. This will provide a comprehensive understanding of soil moisture dynamics across diverse terrains and environments. One of the most notable features of LAGRS-Soil is its ability to obtain DDMs for full polarizations, which enhances soil moisture retrievals compared to current methods that only utilize the commonly used LR polarization (left-hand circular polarization received and right-hand circular polarization transmitted). Meanwhile, the model can also capture frozen soil DDMs which holds immense potential for near-surface Freezing/Thawing (F/T) detection, opening up new research and application opportunities in cold climate regions. LAGRS-Soil is built on microwave scattering models, making it a robust and efficient theoretical model for the FY-3E GNOS-R payload. This model can support ongoing soil moisture retrieval efforts by combining physical models with investigations of diffuse scattering and polarization capabilities for soil moisture detection.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference40 articles.

1. Tutorial on Remote Sensing Using GNSS Bistatic Radar of Opportunity;Zavorotny;IEEE Geosci. Remote Sens. Mag.,2014

2. Gleason, S., Adjrad, M., and Unwin, M. (2005, January 13–16). Sensing ocean, ice and land reflected signals from space: Results from the UK-DMC GPS reflectometry experiment. Proceedings of the 18th International Technical Meeting of the Satellite Division of The Institute of Navigation, Long Beach, CA, USA.

3. Camps, A., Vall·llossera, M., Park, H., Portal, G., and Rossato, L. (2018). Sensitivity of TDS-1 GNSS-R Reflectivity to Soil Moisture: Global and Regional Differences and Impact of Different Spatial Scales. Remote Sens., 10.

4. Assessment of Spaceborne GNSS-R Ocean Altimetry Performance Using CYGNSS Mission Raw Data;Li;IEEE Trans. Geosci. Remote Sens.,2020

5. Wind Speed Retrieval Algorithm for the Cyclone Global Navigation Satellite System (CYGNSS) Mission;Clarizia;IEEE Trans. Geosci. Remote Sens.,2016

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