DigitSeis: A New Digitization Software for Analog Seismograms

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Research Article| March 23, 2016 DigitSeis: A New Digitization Software for Analog Seismograms Petros Bogiatzis; Petros Bogiatzis aDepartment of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts 02138 U.S.A.petrosbogiatzis@fas.harvard.edu Search for other works by this author on: GSW Google Scholar Miaki Ishii Miaki Ishii aDepartment of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts 02138 U.S.A.petrosbogiatzis@fas.harvard.edu Search for other works by this author on: GSW Google Scholar Author and Article Information Petros Bogiatzis aDepartment of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts 02138 U.S.A.petrosbogiatzis@fas.harvard.edu Miaki Ishii aDepartment of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts 02138 U.S.A.petrosbogiatzis@fas.harvard.edu Publisher: Seismological Society of America First Online: 14 Jul 2017 Online Issn: 1938-2057 Print Issn: 0895-0695 © 2016 by the Seismological Society of America Seismological Research Letters (2016) 87 (3): 726–736. https://doi.org/10.1785/0220150246 Article history First Online: 14 Jul 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Petros Bogiatzis, Miaki Ishii; DigitSeis: A New Digitization Software for Analog Seismograms. Seismological Research Letters 2016;; 87 (3): 726–736. doi: https://doi.org/10.1785/0220150246 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietySeismological Research Letters Search Advanced Search ABSTRACT This article presents a new MATLAB software, DigitSeis, that converts digital, raster images of analog seismograms to readily usable, digital time series using image‐processing techniques. It classifies important features of analog seismograms, such as time marks, to simplify the generation of continuous time series and uses some of this information to assign accurate timing. Geometrical distortions associated with various stages of seismogram creation, storage, and digitization are detected automatically and corrected. Although the software is written to minimize human input, DigitSeis provides interactive tools for challenging situations such as when traces cross. Finally, the effectiveness of the software is demonstrated with digitization of a long‐period seismogram from the Harvard‐Adam Dziewoński observatory recorded in November 1938. At least five significant teleseismic events are identified, and its spectral analysis shows no spurious features. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.