基于星载GNSS-R获取川藏交通廊道沿线地表土壤湿度

胡羽丰; 汪吉; 李振洪; 彭建兵

doi:10.3799/dqkx.2022.050

Volume 47 Issue 6

Jun. 2022

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Article Navigation > Earth Science > 2022 > 47(6): 2058-2068

Hu Yufeng, Wang Ji, Li Zhenhong, Peng Jianbing, 2022. Land Surface Soil Moisture along Sichuan-Tibet Traffic Corridor Retrieved by Spaceborne Global Navigation Satellite System Reflectometry. Earth Science, 47(6): 2058-2068. doi: 10.3799/dqkx.2022.050

Citation:

Hu Yufeng, Wang Ji, Li Zhenhong, Peng Jianbing, 2022. Land Surface Soil Moisture along Sichuan-Tibet Traffic Corridor Retrieved by Spaceborne Global Navigation Satellite System Reflectometry. Earth Science, 47(6): 2058-2068. doi: 10.3799/dqkx.2022.050

Citation:

Hu Yufeng, Wang Ji, Li Zhenhong, Peng Jianbing, 2022. Land Surface Soil Moisture along Sichuan-Tibet Traffic Corridor Retrieved by Spaceborne Global Navigation Satellite System Reflectometry. Earth Science, 47(6): 2058-2068. doi: 10.3799/dqkx.2022.050

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Land Surface Soil Moisture along Sichuan-Tibet Traffic Corridor Retrieved by Spaceborne Global Navigation Satellite System Reflectometry

doi: 10.3799/dqkx.2022.050

Hu Yufeng^{1, 2, 3
,
,},
Wang Ji^{1, 2},
Li Zhenhong^{1, 2, 3
,
,
,},
Peng Jianbing^{1, 3}

1.
College of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, China
2.
Big Data Center for Geosciences and Satellites (BDCGS), Chang'an University, Xi'an 710054, China
3.
Key Laboratory of Western China's Mineral Resource and Geological Engineering, Ministry of Education, Xi'an 710054, China

Received Date: 2021-12-11
Publish Date: 2022-06-25

Abstract

Abstract

Land surface soil moisture affects the land-air energy exchange and the water cycle, which is an important factor for geohazards such as debris flow and freeze-thaw of permafrost. Obtaining soil moisture along the Sichuan-Tibet traffic corridor corridor contributes to study climate change and the risk of cryospheric hazards along the railway. In this study, CYGNSS(cyclone global navigation satellite system) GNSS-R(global navigation satellite system reflectometry) signals, combined with land cover, normalized differential vegetation index (NDVI), land surface roughness, and other surface soil moisture influencing factors, are taken as input parameters to the artificial neural network method to establish a multi-parameter inversion model of surface soil moisture. Then it generates a daily product of surface soil moisture with a spatial resolution of 36 km in the area along the Sichuan-Tibet railway for two consecutive years from 2018 to 2019. With soil moisture active and passive (SMAP) soil moisture as references, the correlation coefficient R of the soil moisture is 0.8, the root mean square error (RMSE) is 0.032 cm³/cm³, and the Bias is 0.014 cm³/cm³. The soil moisture products could provide continuous and reliable data for the study of climate change and land surface hazards along the Sichuan-Tibet traffic corridor.
- surface soil moisture,
- Sichuan-Tibet traffic corridor,
- CYGNSS,
- GNSS-R,
- artificial neural network,
- remote sensing

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References(42)

References

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Land Surface Soil Moisture along Sichuan-Tibet Traffic Corridor Retrieved by Spaceborne Global Navigation Satellite System Reflectometry

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