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Open AccessArticle

Assessment of Mitigation Strategies for Tropospheric Phase Contributions to InSAR Time-Series Datasets over Two Nicaraguan Volcanoes

1
Department of Geosciences, The Pennsylvania State University, University Park, PA 16802, USA
2
The Institute for Computational and Data Sciences, The Pennsylvania State University, University Park, PA 16802, USA
*
Author to whom correspondence should be addressed.
Now at: Department of Earth Sciences, University of Oregon, Eugene, OR 97403-1272, USA.
Remote Sens. 2020, 12(5), 782; https://doi.org/10.3390/rs12050782
Received: 17 December 2019 / Revised: 11 February 2020 / Accepted: 26 February 2020 / Published: 1 March 2020
(This article belongs to the Special Issue InSAR for Earth Observation)
Interferometric Synthetic Aperture Radar (InSAR) studies of ground displacement are often plagued by tropospheric artifacts, which are phase delays resulting from spatiotemporal variations in the refractivity of air within the troposphere. In this study, we focus on COSMO-SkyMed (X-band) InSAR products obtained over two different types of volcanoes in Nicaragua: the Telica stratovolcano and the Masaya caldera. We examine the applicability of an empirical linear correction method and three Global Weather Models (GWMs) with different spatial and temporal resolutions for removing the tropospheric phase component. We linearly invert the tropospheric-corrected interferograms using the Small BAseline Subset (SBAS) time-series technique to produce time-series of ground displacement. Statistical assessments were performed on the corrected interferograms to examine the significance of the applied corrections on the individual interferograms and time-series results. We find that the applicability of the correction methods is highly case-dependent and that in general, the temporal resolution of GWMs influences their ability to capture turbulent tropospheric phase delays. At the two target volcanoes, our study shows that none of the GWMs are able to accurately capture the tropospheric phase delays. Our study provides a guide for researchers using InSAR data in tropical regions who wish to use tropospheric model corrections to carefully assess the applicability of the different types of tropospheric correction methods. View Full-Text
Keywords: InSAR; tropospheric effects; time-series analysis; global weather models; tropical region; Nicaragua; volcano InSAR; tropospheric effects; time-series analysis; global weather models; tropical region; Nicaragua; volcano
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MDPI and ACS Style

Stephens, K.J.; Wauthier, C.; Bussard, R.C.; Higgins, M.; LaFemina, P.C. Assessment of Mitigation Strategies for Tropospheric Phase Contributions to InSAR Time-Series Datasets over Two Nicaraguan Volcanoes. Remote Sens. 2020, 12, 782.

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