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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-archives-XLIII-B3-2022-313-2022</article-id>
<title-group>
<article-title>PROCESSING AND PUBLISHING THE ACTIVE DEFORMATION AREAS OF ALL EUROPE – CONCEPT AND FIRST IMPLEMENTATION STEPS FOR A LOW-COST SOLUTION</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Navarro</surname>
<given-names>J. A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>García</surname>
<given-names>D.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Crosetto</surname>
<given-names>M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<ext-link>https://orcid.org/0000-0001-8545-5490</ext-link></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Monserrat</surname>
<given-names>O.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Av. Carl Friedrich Gauss 7, 08860 Castelldefels, Spain</addr-line>
</aff>
<pub-date pub-type="epub">
<day>30</day>
<month>05</month>
<year>2022</year>
</pub-date>
<volume>XLIII-B3-2022</volume>
<fpage>313</fpage>
<lpage>320</lpage>
<permissions>
<copyright-statement>Copyright: © 2022 J. A. Navarro et al.</copyright-statement>
<copyright-year>2022</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/isprs-archives-XLIII-B3-2022-313-2022.html">This article is available from https://isprs-archives.copernicus.org/articles/isprs-archives-XLIII-B3-2022-313-2022.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/isprs-archives-XLIII-B3-2022-313-2022.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/isprs-archives-XLIII-B3-2022-313-2022.pdf</self-uri>
<abstract>
<p>The European Ground Motion Service provides a plethora of information about land subsidence in the form of Persistent Scatterers (PS). Data for all over Europe will be soon available, facilitating the analysis of ground deformation at a continental level. However, Active Deformation Areas (ADA) may be used instead of PS, since those are more understandable for humans. The CTTC already developed a tool, namely &lt;i&gt;ADAfinder&lt;/i&gt;, to produce the said ADAs out of input PS. The authors are involved in an ongoing project, at its very early stages, targeted at computing the Active Deformation Areas for all Europe using the PS data provided by the EGMS, making the results available to the community by means of a WebGIS. A few concepts are already very clear, such as the high volume of information to process, the need of a specific software chain to do the actual processing and the economic cost that storing and making the results accessible might imply. This paper describes how the data volume and economic factors led to the selection of an in-house hosted &amp; developed solution rather than resorting to well-established and expensive providers of cloud-based solutions. Furthermore, the set of self-developed tools required to implement the production chain are also explained. Also, the open-source tool used to prepare a server able to store the data and make it available to the public are described here. Very preliminary but promising figures concerning processing and response times have been included too.</p>
</abstract>
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