Tianmu-1 Constellation GNSS-R In-Orbit Performance: Spatiotemporal Characteristics, Product Applications, and Polarimetric Features

This paper introduces the Chinese Tianmu-1 GNSS-R constellation of 22 small satellites launched in 2023–2024 and comprehensively evaluates the latest version of the in-orbit data. First, the mission design and instrument technology are described, which largely builds on the Fengyun-3/GNOS-II missions. Notable innovations include full-GNSS compatibility and dual-polarization antenna. Then, the spatiotemporal characteristics of the constellation are analyzed—specifically, coverage percentage and mean revisit time at different latitudes. Next, the accuracy of its science products including ocean surface winds and land soil moisture has been assessed, with two application cases demonstrating the mission’s utility for monitoring tropical cyclones and flooding. Finally, this paper for the first time evaluates Tianmu’s polarized observations including Horizontal (H), Vertical (V), Left-Hand Circularly-Polarized (LHCP) and Right-Hand Circularly-Polarized (RHCP). Analysis of the signal-to-noise ratio and reflectivity shows that the dual-polarimetric observations follow the trend of theoretical models and hold promise for advancing land remote sensing.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Geoscience and Remote Sensing
Published
2025-01-01
DOI
https://doi.org/10.1109/tgrs.2025.3581343
Citations
8
Primary Topic
GNSS positioning and interference
Type
article
Field-Weighted Citation Impact
39.95
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tianmu-1 Constellation GNSS-R In-Orbit Performance: Spatiotemporal Characteristics, Product Applications, and Polarimetric Features

Weihua Bai, Feixiong Huang, Xiangguang Meng, Xiuqing Hu et al.
8 citations
IEEE Transactions on Geoscience and Remote Sensing
GNSS positioning and interference
39.95
article

Tianmu-1 Constellation GNSS-R In-Orbit Performance: Spatiotemporal Characteristics, Product Applications, and Polarimetric Features

Weihua Bai, Feixiong Huang, Xiangguang Meng, Xiuqing Hu, Congliang Liu, Yuerong Cai, Zhuoyan Wang, Qi Tang, Junming Xia, Cong Yin, Guangyuan Tan, Fu Li, Yan Liu, Cheng Liu, Qifei Du, Hao Zhang, Yueqiang Sun, Peng Hu, Hao Qiao, Ruhan Wu, Xianyi Wang
article en
8 citations

Abstract

This paper introduces the Chinese Tianmu-1 GNSS-R constellation of 22 small satellites launched in 2023–2024 and comprehensively evaluates the latest version of the in-orbit data. First, the mission design and instrument technology are described, which largely builds on the Fengyun-3/GNOS-II missions. Notable innovations include full-GNSS compatibility and dual-polarization antenna. Then, the spatiotemporal characteristics of the constellation are analyzed—specifically, coverage percentage and mean revisit time at different latitudes. Next, the accuracy of its science products including ocean surface winds and land soil moisture has been assessed, with two application cases demonstrating the mission’s utility for monitoring tropical cyclones and flooding. Finally, this paper for the first time evaluates Tianmu’s polarized observations including Horizontal (H), Vertical (V), Left-Hand Circularly-Polarized (LHCP) and Right-Hand Circularly-Polarized (RHCP). Analysis of the signal-to-noise ratio and reflectivity shows that the dual-polarimetric observations follow the trend of theoretical models and hold promise for advancing land remote sensing.

IEEE Transactions on Geoscience and Remote SensingVol. 63
China Meteorological Administration (CN), Chinese Academy of Sciences (CN), National Space Science Center (CN), Tiandi Science & Technology (China) (CN)
Openalex Percentile: Top 0%
GNSS positioning and interference
39.95
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.