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1790 武 汉 大 学 学 报 (信 息 科 学 版) 2025 年 9 月
但是,本文实验为期 106 天,反演时间不长, WU Jizhong, WANG Tian, WU Wei. Retrieval
未来的研究重点应集中在长时间序列、植被覆盖 Model for Soil Moisture Content Using GPS-Inter⁃
ferometric Reflectometry[J]. Geomatics and Infor⁃
区域的土壤湿度反演上,并尝试加入地形、植被、
mation Science of Wuhan University, 2018, 43(6):
气象参数等外部数据,削弱反射信号噪声引起的
887-892.
误差,从而提高所提算法的普适性。
[10] 孙波, 梁勇, 汉牟田, 等 . 基于 GPS 多星三频数据
参 考 文 献 融合的 GNSS-IR 土壤湿度反演方法[J]. 北京航空
航天大学学报, 2020, 46(6): 1089-1096.
[1] HIRSCHI M, SENEVIRATNE S I, ALEXAN⁃
SUN Bo, LIANG Yong, HAN Moutian, et al. A
DROV V, et al. Observational Evidence for Soil-
Method for GNSS-IR Soil Moisture Inversion Based
Moisture Impact on Hot Extremes in Southeastern on GPS Multi-satellite and Triple-Frequency Data
Europe[J]. Nature Geoscience, 2011, 4: 17-21. Fusion[J]. Journal of Beijing University of Aero⁃
[2] ZENG J Y, CHEN K S, BI H Y, et al. A Prelimi⁃ nautics and Astronautics, 2020, 46(6): 1089-1096.
nary Evaluation of the SMAP Radiometer Soil Mois⁃
[11] CHEN K, CAO X Y, SHEN F, et al. An Im⁃
ture Product over United States and Europe Using proved Method of Soil Moisture Retrieval Using
Ground-Based Measurements[J]. IEEE Transac⁃ Multi-Frequency SNR Data[J]. Remote Sensing,
tions on Geoscience and Remote Sensing, 2016, 54 2021, 13(18): 3725.
(8): 4929-4940. [12] LIANG Y J, LAI J M, REN C, et al. GNSS-IR
[3] TOPP G C, DAVIS J L. Measurement of Soil Wa⁃ Multisatellite Combination for Soil Moisture Re⁃
ter Content Using Time-Domain Reflectrometry trieval Based on Wavelet Analysis Considering De⁃
(TDR): A Field Evaluation[J]. Soil Science Society tection and Repair of Abnormal Phases[J]. Measure⁃
of America Journal, 1985, 49(1): 19-24. ment, 2022, 203: 111881.
[4] LARSON K M, SMALL E E, GUTMANN E, et [13] 何佳星, 郑南山, 丁锐, 等 . 粒子群优化卷积神经
al. Using GPS Multipath to Measure Soil Moisture 网络 GNSS-IR 土壤湿度反演方法[J]. 测绘学报,
Fluctuations: Initial Results[J]. GPS Solutions, 2023, 52(8): 1286-1297.
2008, 12(3): 173-177. HE Jiaxing, ZHENG Nanshan, DING Rui, et al.
[5] LARSON K M, SMALL E E, GUTMANN E D, A GNSS-IR Soil Moisture Inversion Method Based
et al. Use of GPS Receivers as a Soil Moisture Net⁃ on the Convolutional Neural Network Optimized by
work for Water Cycle Studies[J]. Geophysical Re⁃ Particle Swarm Optimization[J]. Acta Geodaetica
search Letters, 2008, 35(24): 2008GL036013. et Cartographica Sinica, 2023, 52(8): 1286-1297.
[6] RODRIGUEZ-ALVAREZ N, CAMPS A, [14] 郭斐,陈惟杰,朱逸凡,等 . 一种融合相位、振幅与频
VALL-LLOSSERA M, et al. Land Geophysical 率的 GNSS-IR 土壤湿度反演方法[J]. 武汉大学学
Parameters Retrieval Using the Interference Pattern 报(信息科学版), 2024, 49(5): 715-721.
GNSS-R Technique[J]. IEEE Transactions on GUO Fei, CHEN Weijie, ZHU Yifan, et al. A
Geoscience and Remote Sensing, 2010, 49(1): GNSS-IR Soil Moisture Inversion Method Integra ⁃
71-84. ting Phase, Amplitude and Frequency[J]. Geomatics
[7] CHEW C C, SMALL E E, LARSON K M, et al. and Information Science of Wuhan University,
Effects of Near-Surface Soil Moisture on GPS SNR 2024, 49(5): 715-721.
Data: Development of a Retrieval Algorithm for Soil [15] 贾燕,金双根, 肖智宇, 等 . 全球导航卫星系统反射
Moisture[J]. IEEE Transactions on Geoscience and 测量土壤水分遥感:现状与机遇[J]. 武汉大学学报
Remote Sensing, 2013, 52(1): 537-543. (信息科学版), 2023, 48(11): 1784-1799.
[8] ROUSSEL N, FRAPPART F, RAMILLIEN G, JIA Yan, JIN Shuanggen, XIAO Zhiyu, et al. Soil
et al. Detection of Soil Moisture Variations Using Moisture Remote Sensing Using Global Navigation
GPS and GLONASS SNR Data for Elevation An⁃ Satellite System-Reflectometry: Current Status and
gles Ranging from 2° to 70°[J]. IEEE Journal of Se⁃ Opportunity[J]. Geomatics and Information Science
lected Topics in Applied Earth Observations and Re⁃ of Wuhan University, 2023, 48(11): 1784-1799.
mote Sensing, 2016, 9(10): 4781-4794. [16] YANG T, WAN W, CHEN X W, et al. Using
[9] 吴继忠, 王天, 吴玮 . 利用 GPS-IR 监测土壤含水 BDS SNR Observations to Measure Near-Surface
量的反演模型[J]. 武汉大学学报(信息科学版), Soil Moisture Fluctuations: Results from Low Vege⁃
2018, 43(6): 887-892. tated Surface[J]. IEEE Geoscience and Remote

