Utilizing Space-borne GNSS-R Ocean and Land circumstance detector Data of NanYue to retrieve sea surface wind speed and soil moisture

After the primary analysing the Space-borne GNSS-R Ocean and Land circumstance detector data of NanYue, we retrieve the sea surface wind speed by a character parameter defined of DDMA, and meanwhile we retrieve the soil moisture by a character parameter defined of Reflectivity. The analysing results show that when the sea surface wind speed below $15 \mathrm{~m} / \mathrm{s}$, the RMSE measuring precision can achieve $2.5297 \mathrm{~m} / \mathrm{s}$, but on the other hand, when the sea surface wind speed above $15 \mathrm{~m} / \mathrm{s}$, the SNR of DDM curve indicates a significant degradation so that we can not achieve a satisfying precision by far. Moreover, the analysing results show that the RMSE measuring precision of soil moisture can achieve $0.13 \mathrm{~cm} 3 / \mathrm{cm} 3$, and the proportion of data within 1 sigma is 73.99%, which means a relatively satisfying precision. Hence, Utilizing the Space-borne GNSS-R Ocean and Land circumstance detector data of NanYue to measure middle and low sea surface wind speed and soil moisture.

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Published
2025-04-25
DOI
https://doi.org/10.1109/icgmrs66001.2025.11065444
Primary Topic
Soil Moisture and Remote Sensing
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article
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article

Utilizing Space-borne GNSS-R Ocean and Land circumstance detector Data of NanYue to retrieve sea surface wind speed and soil moisture

Yiyuan Wang, Jin Qin, Siqi Gu, Yun Zhang et al.
Soil Moisture and Remote Sensing
article

Utilizing Space-borne GNSS-R Ocean and Land circumstance detector Data of NanYue to retrieve sea surface wind speed and soil moisture

Yiyuan Wang, Jin Qin, Siqi Gu, Yun Zhang, Bo Zhou, Pei Li, Wenxu Yao
article en

Abstract

After the primary analysing the Space-borne GNSS-R Ocean and Land circumstance detector data of NanYue, we retrieve the sea surface wind speed by a character parameter defined of DDMA, and meanwhile we retrieve the soil moisture by a character parameter defined of Reflectivity. The analysing results show that when the sea surface wind speed below $15 \mathrm{~m} / \mathrm{s}$, the RMSE measuring precision can achieve $2.5297 \mathrm{~m} / \mathrm{s}$, but on the other hand, when the sea surface wind speed above $15 \mathrm{~m} / \mathrm{s}$, the SNR of DDM curve indicates a significant degradation so that we can not achieve a satisfying precision by far. Moreover, the analysing results show that the RMSE measuring precision of soil moisture can achieve $0.13 \mathrm{~cm} 3 / \mathrm{cm} 3$, and the proportion of data within 1 sigma is 73.99%, which means a relatively satisfying precision. Hence, Utilizing the Space-borne GNSS-R Ocean and Land circumstance detector data of NanYue to measure middle and low sea surface wind speed and soil moisture.

Shanghai Industrial Technology Institute (CN), Shanghai Institute of Computing Technology (CN), Shanghai Institute of Technology (CN)
Life below water
Openalex Percentile: Top 85%
Soil Moisture and Remote Sensing
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Utilizing Space-borne GNSS-R Ocean and Land circumstance detector Data of NanYue to retrieve sea surface wind speed and soil moisture — Yiyuan Wang, Jin Qin, et al. · (2025) | TGRS Research Map | TGRS