Characterizing and Mapping Volcanic Flow Deposits on Mount St. Helens via Dual-Band SAR Imagery
نویسندگان
چکیده
Mapping volcanic flow deposits can be achieved by considering backscattering characteristics as a metric of surface roughness. In this study, we developed an approach to extract measure roughness from dual-band airborne Synthetic Aperture Radar (ASAR) data characterize and map various deposits—namely, debris avalanches, lahars, lava flows, pyroclastic density currents. We employed ASAR Indian Space Research Organization (ISRO) SAR datasets, joint project (ASAR-ISRO), acquired in December 2019 at 2 m spatial resolution, assess the role importance incorporating data, i.e., L-band S-band, into models. Additionally, derived analyzed digital model (DSM) generated unoccupied aircraft systems (UAS) acquisitions using Structure Motion (SfM) photogrammetry techniques. These UAS-derived outputs served meter-scale calibration products validate radar over targeted areas. Herein, applied our method region United States Mount St. Helens volcano Cascade Range Washington state. Our results showed that utilized different types range terrain Importantly, found combination wavelengths (i.e., 9 24 cm), tandem with high-spatial-resolution backscatter measurements, yields improved maps, compared single-band, satellite-based approaches coarser resolution. The (24 cm) effectively differentiate small, medium, large-scale structures, namely, blocks/boulders fine-grained lahar hummocks avalanche deposits. variation estimates identified quantified individually. contrast, S-band (9 distinguish soil moisture conditions across variable terrain; for example, identify wet active channels. principle, also time series other higher coherence (such satellite SAR), polarizations, encompassing wider roughness, ultimately enabling additional applications volcanoes worldwide even beyond volcanology.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2023
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs15112791