Advanced InSAR atmospheric correction: MERIS/MODIS combination and stacked water vapour models

By Zhenhong Li, E. Fielding, P. Cross, R. Preusker. 2009

144 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Environmental Engineering, Oceanography

View Paper: https://www.semanticscholar.org/paper/a47e337f7f0c211e3df3dc689e87356c11048ca6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. T. J. Wright
2. Kazuo Ouchi
3. D. Bekaert
4. Chen Yu
5. Nigel T. Penna
6. A. Hooper
7. Yunjun Zhang
8. Heresh Fattahi

In Environmental Engineering

1. Kazuo Ouchi
2. A. Hooper
3. Yunjun Zhang
4. T. J. Wright
5. Heresh Fattahi
6. Falk Amelung

In Oceanography

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

Citations in the corpus

• Generation of real‐time mode high‐resolution water vapor fields from GPS observations (2017, methodology): “…and postseismic motion, observations of which not only give insight into the mechanics of a fault but also play key roles in estimating the likelihood of future earthquakes [Wright et al., 2004; Gourmelen and Amelung, 2005; Fialko, 2006; Walters et al., 2013; Wen et al., 2012; Li et al., 2009a].”
• Small baseline InSAR time series analysis: Unwrapping error correction and noise reduction (2019, methodology): “Recent developments use global atmospheric models (GAMs), MERIS, MODIS or GPS wet delay (Jolivet et al., 2011, 2014; Li et al., 2009; Onn and Zebker, 2006; Yu et al., 2018), or empirical correlation between stratified tropospheric delay and topography (Bekaert 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”
• A spatially variable power law tropospheric correction technique for InSAR data (2015, methodology): “…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 combining weather models and spectrometer data [Walters et al., 2013], or GNSS and spectrometer measurements [Li et al., 2009; Puysségur et al., 2007].”