elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Topographic change quantification and DEM uncertainty assessment using TanDEM-X and F-SAR DEM time series and quality maps: Application to the 2014-2015 Bárðarbunga volcanic eruption, Iceland

Dirscherl, Mariel Christina (2016) Topographic change quantification and DEM uncertainty assessment using TanDEM-X and F-SAR DEM time series and quality maps: Application to the 2014-2015 Bárðarbunga volcanic eruption, Iceland. Master's, University College London.

[img] PDF - Registered users only
77MB

Abstract

Topographical information is of fundamental interest for a wide range of disciplines including glaciology, agriculture, communication network planning, or hazard management. In volcanology, elevation data is of particular interest when assessing material flows throughout a volcanic system. To obtain accurate estimates of time-varying topography in volcanic active regions, high-resolution digital elevation models (DEMs) are required. Whilst ground-based GPS measurements and photogrammetry are restricted in terms of temporal and spatial resolution, the monitoring with airborne laser scanning (LiDAR) depends upon meteorological and illumination conditions and is limited by volcanic ash clouds. The use of space- and airborne synthetic aperture radar (SAR) overcomes such issues and allows the generation of medium- to high-resolution DEMs with interferometric techniques (InSAR). To monitor and evaluate topographical changes and especially volumetric gains and losses during the 2014-2015 Bárðarbunga eruption, Iceland, time sequences of TanDEM-X and F-SAR InSAR DEMs were evaluated differencing pairs of elevation models. The 2014-2015 volcanic eruption was associated with the rare event of a caldera collapse, visible on the surface of the Vatnajökull glacier, as well as a major effusive eruption in the Holuhraun plain. In order to guarantee the reliability of the topographical analysis at both locations, DEM absolute and relative height errors were investigated and raised the importance of accounting for the impact of system parameters, the SAR processing and the local environment before processing the DEMs. Acquisitions over the snow-covered Bárðarbunga caldera were especially affected by microwave penetration into snow and DEMs over the Holuhraun lava field implied large height errors due to fast moving lava flows. Considering the TanDEM-X dataset, the topographical analysis over the Bárðarbunga caldera revealed a total volume loss of approximately -1.40 ± 0.13 km3 and the volume gain of the generated lava field was computed at +1.44 ± 0.03 km3. Taking into account the calculation of rates, the temporal development of caldera collapse and lava effusion was found to exhibit a near-exponential decrease. The ratio between subsidence and lava volume moreover indicated the coupling between the processes. The quality of the applied workflow and achieved results was finally verified comparing the results to other reference data and revealed the overall excellent agreement.

Item URL in elib:https://elib.dlr.de/109037/
Document Type:Thesis (Master's)
Title:Topographic change quantification and DEM uncertainty assessment using TanDEM-X and F-SAR DEM time series and quality maps: Application to the 2014-2015 Bárðarbunga volcanic eruption, Iceland
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Dirscherl, Mariel ChristinaUCL, Department of GeographyUNSPECIFIED
Date:August 2016
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:77
Status:Published
Keywords:InSAR, TanDEM-X, F-SAR, Holuhraun, BArdarbunga, lave flow
Institution:University College London
Department:Department of Geography
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - SAR-Methodology
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Remote Sensing Technology Institute
Microwaves and Radar Institute
Microwaves and Radar Institute > SAR Technology
Deposited By: Minet, Christian
Deposited On:06 Dec 2016 12:48
Last Modified:13 Jan 2017 12:44

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.