Influences of Environmental Loading Corrections on the Nonlinear Variations and Velocity Uncertainties for the Reprocessed Global Positioning System Height Time Series of the Crustal Movement Observation Network of China-Reference-Cited by-同舟云学术

Influences of Environmental Loading Corrections on the Nonlinear Variations and Velocity Uncertainties for the Reprocessed Global Positioning System Height Time Series of the Crustal Movement Observation Network of China

Published:2018-06-15 Issue:6 Volume:10 Page:958
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Yuan Peng,Li Zhao,Jiang Weiping,Ma Yifang,Chen Wu,Sneeuw Nico^ORCID

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/10/6/958/pdf

Reference62 articles.

1. Anatomy of apparent seasonal variations from GPS-derived site position time series

2. Vertical GPS ground motion rates in the Euro-Mediterranean region: New evidence of velocity gradients at different spatial scales along the Nubia-Eurasia plate boundary

3. Anomalous harmonics in the spectra of GPS position estimates

4. On the significance of periodic signals in noise analysis of GPS station coordinates time series

5. Effect of annual signals on geodetic velocity

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advances in Modeling Environmental Loading Effects: A Review of Surface Mass Distribution Products, Environmental Loading Products, and Their Contributions to Nonlinear Variations of Global Navigation Satellite System (GNSS) Coordinate Time Series;Engineering;2024-09

2. Potential Contributors to CME and Optimal Noise Model Analysis in the Chinese Region Based on Different HYDL Models;Remote Sensing;2023-02-08

3. Comparative analysis of the correction effect of different environmental loading products on global GNSS coordinate time series;Advances in Space Research;2022-12

4. Testing of Homogeneity of Coordinates of Various Permanent GNSS Reference Stations Networks of the Republic of Serbia According to the Common Requirements for Proving Competence;Sensors;2022-10-16

5. Quantitative analysis of abnormal drought in Yunnan Province from 2011 to 2020 using GPS vertical displacement observations;CHINESE J GEOPHYS-CH;2022