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Quantifying volumes of volcanic deposits using time-averaged ASTER digital elevation models
- Source :
- Science of Remote Sensing, Vol 10, Iss , Pp 100179- (2024)
- Publication Year :
- 2024
- Publisher :
- Elsevier, 2024.
-
Abstract
- Quantifying the volume of erupted volcanic material, particularly lava flows and domes, provides critical insights into the dynamics of an eruption. This in turn aids in future hazard modeling, mitigation, and response. However, acquiring the necessary topographic datasets to calculate volumetric change is difficult, especially for active volcanoes in remote regions. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument has acquired global photogrammetric data since 2000, from which individual scene digital elevation models (DEMs) are created. We present a new straight forward method using ASTER DEMs to measure the volume of emplaced lava flows, domes, and tephra cones. We focus on five case studies that represent different eruption styles and products. For each of these we compare the results to those from previous studies that used alternative topographic datasets, such as synthetic aperture radar (SAR), airborne photogrammetry, or Light Detection and Ranging (LiDAR) measurements. These datasets, however, are expensive to acquire or lack the needed temporal resolution. We show that in nearly all cases, our volume results are either within the reported range for the eruption or ≤0.05 km3 of the previously reported value derived from SAR or LiDAR. The simplicity of the ASTER DEM approach combined with the global coverage of the data products enables more timely production of accurate volumetric data during and following an eruption, which can then be used to assess past and future eruption dynamics.
Details
- Language :
- English
- ISSN :
- 26660172
- Volume :
- 10
- Issue :
- 100179-
- Database :
- Directory of Open Access Journals
- Journal :
- Science of Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.1fd5e86f4b05489b8823733f20c05096
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.srs.2024.100179