Atmospheric models, GPS and InSAR measurements of the tropospheric water vapour field over Mount Etna

By G. Wadge, P. Webley, I. N. James, Richard M. Bingley, Alan Dodson, S. Waugh, T. Veneboer, G. Puglisi, M. Mattia, D. Baker and 3 more. 2002

140 citations recorded by the source corpus.

Subfields: Aerospace Engineering

View Paper: https://www.semanticscholar.org/paper/7a5560defaebcd8fab690ccb78c8b903d56f1d29

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In Aerospace Engineering

1. T. J. Wright
2. Kazuo Ouchi
3. D. Bekaert
4. Chen Yu
5. Nigel T. Penna
6. A. Hooper
7. Zhenhong Li
8. Janusz Wasowski

Citations in the corpus

• Mitigating atmospheric noise for InSAR using a high resolution weather model (2005, methodology): “All available atmospheric measurements and estimates for the instant of SAR acquisition (e.g., the MERIS instrument on Envisat [ Santer et al., 1999 ]) would then be ingested and used to generate a full 3-D weather analysis for that time rather than a prediction.”
• Statistical comparison of InSAR tropospheric correction techniques (2015, unknown): “Tropospheric corrections can be calculated using auxiliary information from weather models (e.g. Wadge et al., 2002; Liu, Hanssen, & Mika, 2009; Doin, Lasserre, Peltzer, Cavalié, & Doubre, 2009; Jolivet, Grandin, Lasserre, Doin, & Peltzer, 2011; Walters, Parsons, & Wright, 2014; Jolivet et al.,…”
• Recent Trend and Advance of Synthetic Aperture Radar with Selected Topics (2013, methodology): “Several correction methods have been proposed, including those utilizing external independent data such as local atmospheric models [618], GPS (Ground Positioning System) [619–621], spaceborne optical data [622,623], a stack of small baseline SAR interferograms [624,625], and a multi-scale time-seri”
• Generation of real‐time mode high‐resolution water vapor fields from GPS observations (2017, methodology): “What is more, the high performance of the dense PWV maps using the ITD model is especially useful for mitigating the effects of water vapor for SAR measurements in mountainous areas, which usually suffer from vertical stratification and turbulent mixing due to the orography [Wadge et al., 2002].”
• A spatially variable power law tropospheric correction technique for InSAR data (2015, methodology): “Different approaches have been documented to estimate the tropospheric signal in InSAR data, e.g. by using weather models [Pinel et al., 2011; Wadge et al., 2002; Walters et al., 2014], GNSS data [Onn and Zebker, 2006; Williams et al., 1998], spectrometer measurements [Li et al., 2006], or by…”