Routine Processing and Automatic Detection of Volcanic Ground Deformation Using Sentinel-1 InSAR Data: Insights from African Volcanoes

Albino, F, Biggs, J, Lazecký, M et al. (1 more author) (2022) Routine Processing and Automatic Detection of Volcanic Ground Deformation Using Sentinel-1 InSAR Data: Insights from African Volcanoes. Remote Sensing, 14 (22). 5703. p. 5703. ISSN 2072-4292

Abstract

Metadata

Authors/Creators:
  • Albino, F
  • Biggs, J
  • Lazecký, M
  • Maghsoudi, Y
Copyright, Publisher and Additional Information: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Keywords: Sentinel-1 SAR; volcanic ground deformation; East Africa
Dates:
  • Accepted: 26 October 2022
  • Published (online): 11 November 2022
  • Published: 2 November 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst of Geophysics and Tectonics (IGT) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 21 Dec 2022 11:14
Last Modified: 21 Dec 2022 11:14
Published Version: http://dx.doi.org/10.3390/rs14225703
Status: Published
Publisher: MDPI
Identification Number: https://doi.org/10.3390/rs14225703

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