Hourly sea level height forecast based on GNSS-IR by using ARIMA model-Reference-Cited by-同舟云学术

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Hourly sea level height forecast based on GNSS-IR by using ARIMA model

Published:2022-05-03 Issue:9 Volume:43 Page:3387-3411
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Zheng Naiquan¹^ORCID,Chai Hongzhou¹,Ma Yongchao²,Chen Lingqiu¹,Chen Peng³

Affiliation:

1. Institute of Surveying and Mapping, Information Engineering University, Zhengzhou, China

2. Institute of Space Science and Applied Technology, Harbin Institute of Technology, Shenzhen, China

3. College of Geomatics, Xi’an University of Science and Technology, Xi’an, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2022.2091965

Reference41 articles.

1. Determination of Water Level and Tides Using Interferometric Observations of GPS Signals

2. Sea level prediction using ARIMA, SVR and LSTM neural network: assessing the impact of ensemble Ocean-Atmospheric processes on models’ accuracy

3. Snow depth sensing using the GPS L2C signal with a dipole antenna

4. Snow depth estimation accuracy using a dual-interface GPS-IR model with experimental results

5. Vegetation Sensing Using GPS-Interferometric Reflectometry: Theoretical Effects of Canopy Parameters on Signal-to-Noise Ratio Data

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