Three-dimensional (3D) surface deformation is retrieved for the March 6-10, 2011 (UTC dates), Kamoamoa fissure eruption along the East Rift Zone of Kilauea Volcano, Hawai'i, through the integration of multi-temporal synthetic aperture radar (SAR) interferometry (InSAR) and multiple-aperture interferometry (MAI) measurements from the COSMO-SkyMed X-band SAR. The measurement accuracies of 1) the individual and multi-stacked MAI interferograms and 2) the 3D deformation, which is measured from COSMO-SkyMed data, are assessed using continuous GPS stations. The root-mean-square (RMS) errors of individual MAI interferograms for descending and ascending data are 2.97. ±. 0.6. cm and 3.20. ±. 0.62. cm, respectively. The MAI interferograms stacked from multi-temporal observations can produce better results by emphasizing surface deformation signals, with the RMS errors of 1.06 and 1.24. cm for descending and ascending data, respectively. The empirical equations for measurement uncertainties are determined with respect to interferometric coherence for individual and stacked MAI interferograms. An assessment of the 3D components of deformation was performed as well, and RMS errors of 0.75, 0.83, and 0.68. cm were estimated in the east, north, and up directions. A performance test of magma source model parameter estimations was carried out by using the InSAR and 3D measurements. From the 3D deformation field, we found that the magma chamber source at the Kilauea caldera should be modeled by the spheroid source rather than the simple point source. The performance comparison between the InSAR and 3D modeled results showed that the 3D deformation field allows for precise model parameter estimation.
|Number of pages||16|
|Journal||Remote Sensing of Environment|
|Publication status||Published - 2015 Nov 1|
Bibliographical noteFunding Information:
This work was funded by the Korea Meteorological Administration Research and Development Program under Grant KMIPA2015-3071 , and also supported by the MSIP (Ministry of Science, ICT & Future Planning) and NRF (National Research Foundation of Korea) under the Space Core Technology Development Program (project id: 2013M1A3A3A02042314 ). The COSMO-SkyMed data were provided courtesy of the Hawai'i Supersite and Italian Space Agency (ASI). We appreciate the GPS data processing from Asta Miklius of U.S. Geological Survey (USGS) Hawaiian Volcano Observatory (HVO), and UH Mauoa, and Stanford university for operating the GPS network on Kīlauea. And we specially appreciate the crucial review and comments from Michael Poland of USGS Cascades Volcano Observatory (CVO).
© 2015 Elsevier Inc.
All Science Journal Classification (ASJC) codes
- Soil Science
- Computers in Earth Sciences