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GNSS-IR Soil Moisture Inversion Accounting for Residual SNR Unmodeled Errors
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Yan ZHOU1, Qian CHEN1, Xilong KOU1, Haigang PANG1, Bo SUN1, *
Journal of Geodesy and Geodynamics | 2025, 45(12) : 1215 - 1220
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Journal of Geodesy and Geodynamics | 2025, 45(12): 1215-1220
GNSS-IR Soil Moisture Inversion Accounting for Residual SNR Unmodeled Errors
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Yan ZHOU1, Qian CHEN1, Xilong KOU1, Haigang PANG1, Bo SUN1, *
Affiliations
  • 1 College of Information Science and Engineering, Shandong Agricultural University, 61 Daizong Street, Taian 271018, China

    • ZHOU Yan, PhD, lecturer, majors in GNSS data processing and applications, E-mail:

About Author:

ZHOU Yan, PhD, lecturer, majors in GNSS data processing and applications, E-mail:

Published: 2025-12-15 doi: 10.14075/j.jgg.2024.12.604
Outline
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To address the issue of deviations in amplitude extraction caused by unmodeled errors in global navigation satellite system interferometric reflectometry(GNSS-IR) soil moisture inversion, this study proposes a method that utilizes a semi-parametric model to introduce nonparametric vectors compensating for unmodeled errors, thereby optimizing amplitude extraction. The soil moisture inversion results based on parametric models are compared with those derived from semi-parametric models. The findings demonstrate that the amplitude extracted by the semi-parametric model achieves higher accuracy in both single satellite and multi-satellite fusion scenarios. The proposed approach effectively improves inversion precision by mitigating unmodeled errors through semi-parametric compensation.

GNSS-IR  /  soil moisture  /  semi-parametric model  /  multi-satellite fusion  /  inversion accuracy
周岩, 陈倩, 寇希龙, 逄海港, 孙波. 顾及残余SNR未建模误差的GNSS-IR土壤湿度反演. 大地测量与地球动力学, 2025 , 45 (12) : 1215 -1220 . DOI: 10.14075/j.jgg.2024.12.604
Yan ZHOU, Qian CHEN, Xilong KOU, Haigang PANG, Bo SUN. GNSS-IR Soil Moisture Inversion Accounting for Residual SNR Unmodeled Errors[J]. Journal of Geodesy and Geodynamics, 2025 , 45 (12) : 1215 -1220 . DOI: 10.14075/j.jgg.2024.12.604
Funding
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  • Natural Science Foundation of Shandong Province(ZR2021MD082)
Appendix
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Year 2025 volume 45 Issue 12
32
14
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Article Info
doi: 10.14075/j.jgg.2024.12.604
  • Receive Date：2025-01-09
  • Online Date：2026-10-29
  • Published：2025-12-15
Article Data
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History
  • Received：2025-01-09
Funding
Natural Science Foundation of Shandong Province(ZR2021MD082)
Affiliations
    1 College of Information Science and Engineering, Shandong Agricultural University, 61 Daizong Street, Taian 271018, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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