Towards operational multi-GNSS tropospheric products at GFZ Potsdam

K Wilgan, G Dick, F Zus, J Wickert - Atmospheric Measurement …, 2021 - amt.copernicus.org
The assimilation of Global Navigation Satellite Systems (GNSS) data has been proven to
have a positive impact on the weather forecasts. However, the impact is limited due to the …

[HTML][HTML] Multi-temporal insar tropospheric delay modelling using tikhonov regularization for sentinel-1 c-band data

PK Kirui, B Riedel, M Gerke - ISPRS Open Journal of Photogrammetry and …, 2022 - Elsevier
The increased availability of satellite SAR data coupled with improved InSAR processing
algorithms has led to higher accuracy of InSAR-derived displacements. However, obtaining …

On the consistency of tropospheric delays over mountainous terrain retrieved from Persistent Scatterer Interferometry, GNSS and Numerical Weather Prediction …

E Shehaj, O Frey, G Moeller, T Strozzi… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
The tropospheric refraction along the signal path is the same for global navigation satellite
systems (GNSS) and radar interferometry. However, different observation geometries …

Tropospheric water vapor: A comprehensive high resolution data collection for the transnational Upper Rhine Graben region

B Fersch, A Wagner, B Kamm, E Shehaj… - Earth System …, 2022 - essd.copernicus.org
Tropospheric water vapor is among the most important trace gases of the Earth's climate
system and its temporal and spatial distribution is critical for the genesis of clouds and …

Comparison of tropospheric delay correction methods for InSAR analysis using a mesoscale meteorological model: a case study from Japan

SN Sailellah, Y Fukushima - Earth, Planets and Space, 2023 - Springer
A major source of error in interferometric synthetic aperture radar (InSAR), used for mapping
ground deformation, is the delay caused by changes in the propagation velocity of radar …

Retrieval of refractivity fields from GNSS tropospheric delays: theoretical and data-based evaluation of collocation methods and comparisons with GNSS tomography

E Shehaj, A Geiger, M Rothacher, G Moeller - Journal of Geodesy, 2024 - Springer
This paper focuses on the retrieval of refractivity fields from GNSS measurements by means
of least-squares collocation. Collocation adjustment estimates parameters that relate delays …

An InSAR Atmospheric Correction Method Based on GNSS and Machine Learning

S WU, G LIU, H JIA, B ZHANG, R ZHANG… - … Information Science of …, 2023 - ch.whu.edu.cn
Objectives: The InSAR technique has been widely applied to monitoring land deformation
with very high spatiotemporal resolution. The elimination of atmospheric delay in the …

[HTML][HTML] High-resolution tropospheric refractivity fields by combining machine learning and collocation methods to correct earth observation data

E Shehaj, L Miotti, A Geiger, S D'Aronco, JD Wegner… - Acta Astronautica, 2023 - Elsevier
Signals used for Earth observation, when travelling through the atmosphere, are sensitive to
refractivity; especially high spatio-temporal variations of water vapor are difficult to model …

一种基于GNSS 和机器学习的InSAR 大气改正方法

武帅莹, 刘国祥, 贾洪果, 张波, 张瑞, 毛文飞… - 武汉大学学报(信息科学 … - ch.whu.edu.cn
准确分离干涉相位中的大气延迟是提高合成孔径雷达干涉测量技术(InSAR)
形变监测精度的关键所在. 为此, 本文提出一种基于机器学习的GNSS 大气延迟建模方法 …

[PDF][PDF] ISPRS Open Journal of Photogrammetry and Remote Sensing

PK Kirui, B Riedel, M Gerke - researchgate.net
The increased availability of satellite SAR data coupled with improved InSAR processing
algorithms has led to higher accuracy of InSAR-derived displacements. However, obtaining …