InSAR decorrelation to assess and prevent volcanic risk

Citation:
Malinverni, ES, Sandwell DT, Tassetti AN, Cappelletti L.  2014.  InSAR decorrelation to assess and prevent volcanic risk. European Journal of Remote Sensing. 47:537-556.

Date Published:

2015/01

Keywords:

aperture radar interferometry, correlation, deformation, earths surface, eruption, fournaise, InSAR, intrusion, la, piton, risk prevention, SAR, uplift, volcanoes, yellowstone caldera

Abstract:

SAR can be invaluable describing pre-eruption surface deformation and improving the understanding of volcanic processes. This work studies correlation of pairs of SAR images focusing on the influence of surface, climate conditions and acquisition band. Chosen L-band and C-band images (ENVISAT, ERS and ALOS) cover most of the Yellowstone caldera (USA) over a span of 4 years, sampling all the seasons. Interferograms and correlation maps are generated and studied in relation to snow depth and temperature. To isolate temporal decorrelation pairs of images with the shortest baseline are chosen. Results show good performance during winter, bad attitude towards wet snow and good coherence during summer with L-band performing better over vegetation.

Notes:

n/a

Website

DOI:

10.5721/EuJRS20144730