TY - GEN
T1 - Relative Atmospheric Wind Speed Measurement Based on Time-Delay D-InSAR
AU - Zhao, Zihan
AU - Li, Yuanhao
AU - Liu, Cheng
AU - Tian, Jianyu
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Accurate wind speed measurement is of great significance for meteorological analysis, weather forecasting and climate change research. Spaceborne differential interferometric synthetic aperture radar (D-InSAR), with its all-day, all-weather, high-resolution observation capabilities, has shown potential for indirectly measuring wind speed by monitoring changes in atmospheric water vapor. This paper proposes a method for relative atmospheric wind speed measurement based on time-delay D-InSAR. The principle involves using a distributed satellites monostatic D-InSAR system to acquire atmospheric differential interferograms of the same region within a short time interval. By using image thresholding to identify the displacement of hotspots, we can infer the average relative wind speed from the movement of water vapor clusters. The results demonstrate that D-InSAR can accurately measure the average wind speed, which is a cumulative effect across various altitude layers. The measured wind speed has an average relative error of 0.07 and a root mean square error of 1.02 m/s when compared to the theoretical wind speed. This validates the feasibility of using D-InSAR for wind speed measurement. In the future, this technology could be further extended to 3-D wind speed measurement and enhance accuracy by improving the algorithm, which will offer a new approach for atmospheric wind speed monitoring.
AB - Accurate wind speed measurement is of great significance for meteorological analysis, weather forecasting and climate change research. Spaceborne differential interferometric synthetic aperture radar (D-InSAR), with its all-day, all-weather, high-resolution observation capabilities, has shown potential for indirectly measuring wind speed by monitoring changes in atmospheric water vapor. This paper proposes a method for relative atmospheric wind speed measurement based on time-delay D-InSAR. The principle involves using a distributed satellites monostatic D-InSAR system to acquire atmospheric differential interferograms of the same region within a short time interval. By using image thresholding to identify the displacement of hotspots, we can infer the average relative wind speed from the movement of water vapor clusters. The results demonstrate that D-InSAR can accurately measure the average wind speed, which is a cumulative effect across various altitude layers. The measured wind speed has an average relative error of 0.07 and a root mean square error of 1.02 m/s when compared to the theoretical wind speed. This validates the feasibility of using D-InSAR for wind speed measurement. In the future, this technology could be further extended to 3-D wind speed measurement and enhance accuracy by improving the algorithm, which will offer a new approach for atmospheric wind speed monitoring.
KW - atmospheric delay
KW - atmospheric wind speed
KW - D-InSAR
KW - tropospheric water vapor
UR - http://www.scopus.com/inward/record.url?scp=86000014839&partnerID=8YFLogxK
U2 - 10.1109/ICSIDP62679.2024.10868582
DO - 10.1109/ICSIDP62679.2024.10868582
M3 - Conference contribution
AN - SCOPUS:86000014839
T3 - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
BT - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Y2 - 22 November 2024 through 24 November 2024
ER -