Bibliography

Crosetto, M., et al. “State of the art of land deformation monitoring using differential SAR interferometry.” ISPRS Hannover Workshop. 2005.

Dzurisin, D. Lisowski, M. Poland, M. Sherrod, D. LaHusen, R. “Constraints and conundrums resulting from ground-deformation measurements made during the 2004-2005 dome-building eruption of Mount St. Helens, Washington.” US Geological Survey professional paper 1750 (2008): 281-300.

This article gives a basic outline and timeline of the 2004 eruption and also a good overview and summary of the geodetic work done on Mount St Helens from 1980 through the end of the 2004 eruption. It also lays out a good framework for the questions we have yet to answer about deformation leading up to and involved with the 2004 eruption.

Foster, James, et al. “The utility of atmospheric analyses for the mitigation of artifacts in InSAR.” Journal of Geophysical Research: Solid Earth 118.2 (2013): 748-758.

A detailed and relatively complex model of atmospheric phase delay is used to try and measure the co and post 2004 eruptive deformation at Mt St Helens. This study used well-timed meteorological data from the GOES geostationary satellite in combination with continuous GPS data to estimate the phase delay in interferogram stacks. They determined that GPS derived do a decent job modeling the atmosphere, but that their complex models do not do a good job of removing small spatial scale atmospheric effects.

Hooper A; Bekaert D; Spaans K; Arikan M (2012) “Recent advances in SAR interferometry time series analysis for measuring crustal deformation.” Tectonophysics, 514-517, pp.1-13. doi:10.1016/j.tecto.2011.10.013

This is the citation requested for when StaMPS software is used. This paper also lays in good detail, the StaMPS processing chain.

Jolivet, Romain, et al. “Improving InSAR geodesy using global atmospheric models.” Journal of Geophysical Research: Solid Earth 119.3 (2014): 2324-2341.

This paper outlines a method for combining elevation and independent meteorological data. It does a good job of explaining the relationship between water vapor at different altitudes and how to calculate phase delays. The authors claim to have successfully removed longer wavelength and elevation correlated atmospheric effects, even while having spatially coarse atmospheric data.

Jung, Jungkyo, Duk-Jin Kim, and Sang-Eun Park. “Correction of Atmospheric Phase Screen in Time Series InSAR Using WRF Model for Monitoring Volcanic Activities.” IEEE Transactions on Geoscience and Remote Sensing (2013): 1-12. Web.

Li, Z. W., et al. “Modeling of atmospheric effects on InSAR measurements by incorporating terrain elevation information.” Journal of atmospheric and solar-terrestrial physics 68.11 (2006): 1189-1194.

The authors present a method to combine GPS derived atmospheric delays with meteorological data to make an elevation dependent model of Interferometric phase delay over Mt Etna. They study a period without deformation to see if they can capture all of the signal with their model. They break down the atmospheric signal into a static elevation dependent part, and a residual variable wavelength part.

Li, Zhenhong, et al. “Interferometric synthetic aperture radar (InSAR) atmospheric correction: GPS, Moderate Resolution Imaging Spectroradiometer (MODIS), and InSAR integration.” Journal of Geophysical Research: Solid Earth (1978–2012) 110.B3 (2005).

A method for combining MODIS atmospheric data, GPS, and InSAR to remove elevation dependent atmospheric signal is outlined. The authors use this method to image a patch of groundwater related subsidence in California. This technique seems promising to my project because it claims to need only one continuous GPS station, which is all that existed at Mount St Helens before 2004. This paper also gives some basics and background on the MODIS system, which I tentatively plan to use in my project.

Lisowski, M. Dzurisin, D. Denlinger, R. P. Iwatsubo, E. Y. “Analysis of GPS-Measured Deformation Associated with the 2004-2006 Dome-Building Eruption of Mount St. Helens, Washington.” US Geological Survey professional paper 1750 (2008): 301-333.

This paper provides a good deformation history for Mt St Helens and documents the trilateration and campaign GPS surveys conducted in the pre-eruptive period. These measurements put some constraints on the magnitude and spatial extent of any deformation signal that could have occurred pre-2004. Some basic co/post-eruptive deformation modeling is explained as well.

Meyer, Franz J., and Jeremy Nicoll. “The impact of the ionosphere on interferometric SAR processing.” Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International. Vol. 2. IEEE, 2008.

This paper does a good job of explaining the various ways in which the ionosphere impacts InSAR measurements. It explains range and azimuth blurring, azimuth streaks, and Faraday rotation and how much and how each contributes to phase shifts, image distortion, and decorrelation.

Poland, Michael P., and Lu Zhong. “Radar Interferometry Observations of Surface Displacements during Pre-and Coeruptive Periods at Mount St. Helens, Washington, 1992-2005.” US Geological Survey professional paper 1750 (2008): 361-382.

This paper attempts to image pre-eruptive and co-eruptive deformation at Mount St Helens using interferogram stacking. No deformation is seen prior to 2004, but post-eruptive deformation is observed and modeled with a point source type model. A lack of coherence is shown to be a big problem at St Helens.

Riddick, S. N., D. A. Schmidt, and N. I. Deligne. “An analysis of terrain properties and the location of surface scatterers from persistent scatterer interferometry.” ISPRS Journal of Photogrammetry and Remote Sensing 73 (2012): 50-57.

This paper uses the Persistent Scatterer technique, specifically StaMPS, in the Cascades to evaluate and compare various terrain types to see which are the most temporally coherent and therefore are chosen to have good/high densities of PS pixels. This paper is helpful for interpreting results and what PS pixels relate to on the ground in various terrains. It is also helpful for selecting and understanding the effect of certain StaMPS processing parameters.

Haven’t Read Yet

Barnhart, William D., and Rowena B. Lohman. “Characterizing and estimating noise in InSAR and InSAR time series with MODIS.” Geochemistry, Geophysics, Geosystems 14.10 (2013): 4121-4132.

Jolivet, Romain, et al. “Improving InSAR geodesy using global atmospheric models.” Journal of Geophysical Research: Solid Earth 119.3 (2014): 2324-2341.

Li, Zhenhong, et al. “Advanced InSAR atmospheric correction: MERIS/MODIS combination and stacked water vapour models.” International Journal of Remote Sensing 30.13 (2009): 3343-3363.

Remy, D., et al. “Accurate measurements of tropospheric effects in volcanic areas from SAR interferometry data: Application to Sakurajima volcano (Japan).” Earth and Planetary Science Letters 213.3 (2003): 299-310.