Results 11 to 20 of about 1,305 (167)

Improving tropospheric corrections on large-scale Sentinel-1 interferograms using a machine learning approach for integration with GNSS-derived zenith total delay (ZTD) [PDF]

Remote Sensing of Environment, 2020
Abstract Sentinel-1 mission with its wide spatial coverage (250 km), short revisit time (6 days), and rapid data dissemination opened new perspectives for large-scale interferometric synthetic aperture radar (InSAR) analysis. However, the spatiotemporal changes in troposphere limits the accuracy of InSAR measurements for operational deformation ...
Roghayeh Shamshiri, Mahdi Motagh, Hossein Nahavandchi, Mahmud Haghshenas Haghighi, Mostafa Hoseini   +4 more
openaire   +4 more sources

Assessment of GNSS zenith tropospheric delay responses to atmospheric variables derived from ERA5 data over Nigeria

Satellite Navigation, 2023
Tropospheric delay is a major error caused by atmospheric refraction in Global Navigation Satellite System (GNSS) positioning. The study evaluates the potential of the European Centre for Medium-range Weather Forecast (ECMWF) Reanalysis 5 (ERA5 ...
Ifechukwu Ugochukwu Nzelibe, Herbert Tata, Timothy Oluwadare Idowu   +2 more
doaj   +2 more sources

Refining the ERA5-based global model for vertical adjustment of zenith tropospheric delay

Satellite Navigation, 2022
Tropospheric delay is an important factor affecting high precision Global Navigation Satellite System (GNSS) positioning and also the basic data for GNSS atmospheric research.
Ge Zhu, Liangke Huang, Yunzhen Yang, Junyu Li, Lv Zhou, Lilong Liu   +5 more
doaj   +2 more sources

A Tropospheric Zenith Delay Forecasting Model Based on a Long Short-Term Memory Neural Network and Its Impact on Precise Point Positioning

Remote Sensing, 2022
Global navigation satellite system (GNSS) signals are affected by refraction when traveling through the troposphere, which result in tropospheric delay. Generally, the tropospheric delay is estimated as an unknown parameter in GNSS data processing.
Huan Zhang, Yibin Yao, Mingxian Hu, Chaoqian Xu, Xiaoning Su, Defu Che, Wenjie Peng   +6 more
doaj   +3 more sources

High-Precision ZTD Model of Altitude-Related Correction

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Zenith tropospheric delay (ZTD) is one of the main error sources in space geodesy. The existing regional or global models, such as Global Pressure and Temperature 3 (GPT3), Global Tropospheric model, Global Hopfield, and Shanghai Astronomical observatory
Qingzhi Zhao, Jing Su, Chaoqian Xu, Yibin Yao, Xiaoya Zhang, Jifeng Wu   +5 more
doaj   +3 more sources

Assessment of the three representative empirical models for zenith tropospheric delay (ZTD) using the CMONOC data

Geodesy and Geodynamics
The precise correction of atmospheric zenith tropospheric delay (ZTD) is significant for the Global Navigation Satellite System (GNSS) performance regarding positioning accuracy and convergence time. In the past decades, many empirical ZTD models based on whether the gridded or scattered ZTD products have been proposed and widely used in the GNSS ...
Debao Yuan, Jian Li, Yifan Yao, Fei Yang, Yingying Wang, Ran Chen, Tairan Xu   +6 more
openaire   +4 more sources

Evaluation of the Zenith Tropospheric Delay (ZTD) Derived from VMF3_FC and VMF3_OP Products Based on the CMONOC Data

Atmosphere
Prior tropospheric information, especially zenith tropospheric delay (ZTD), is particularly important in GNSS data processing. The two types of ZTD models, those that require and do not require meteorological parameters, are the most commonly used models, whether the non-difference or double-difference mode is applied.
Haoran Zhang, Liang Chen, Fei Yang, Jingge Ma, Junya Zhang, Wenyu Sun, Shiqi Xu   +6 more
openaire   +4 more sources

Improved Zenith Tropospheric Delay Modeling Using the Piecewise Model of Atmospheric Refractivity

Remote Sensing, 2020
As one of the atmosphere propagation delays, the tropospheric delay is a significant error source that should be properly handled in high-precision global navigation satellite system (GNSS) applications.
Liu Yang, Jingxiang Gao, Dantong Zhu, Nanshan Zheng, Zengke Li   +4 more
doaj   +3 more sources

A new global zenith tropospheric delay model IGGtrop for GNSS applications [PDF]

Science Bulletin, 2012
Zishen Li, 运斌 袁
core   +3 more sources

Estimation and Evaluation of Zenith Tropospheric Delay from Single and Multiple GNSS Observations

Remote Sensing, 2023
Multi-Global Navigation Satellite Systems (multi-GNSS) (including GPS, BDS, Galileo, and GLONASS) provide a significant opportunity for high-quality zenith tropospheric delay estimation and its applications in meteorology.
Sai Xia, Shuanggen Jin, Xuzhan Jin
doaj   +1 more source