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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-XLII-4-W20-3-2019</article-id>
<title-group>
<article-title>SIMILE, A GEOSPATIAL ENABLER OF THE MONITORING OF SUSTAINABLE DEVELOPMENT GOAL 6 (ENSURE AVAILABILITY AND SUSTAINABILITY OF WATER FOR ALL)</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Brovelli</surname>
<given-names>M. 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>Cannata</surname>
<given-names>M.</given-names>
<ext-link>https://orcid.org/0000-0003-2527-1416</ext-link>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rogora</surname>
<given-names>M.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Politecnico di Milano, Department of Civil and Environmental Engineering, Piazza Leonardo da Vinci, 20133 Milano, Italy</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Institute of Earth Sciences, University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Campus Trevano, 6952 Canobbio, Switzerland</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>CNR Water Research Institute, L.go Tonolli 50, 28922 Verbania, Italy</addr-line>
</aff>
<pub-date pub-type="epub">
<day>15</day>
<month>11</month>
<year>2019</year>
</pub-date>
<volume>XLII-4/W20</volume>
<fpage>3</fpage>
<lpage>10</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2019 M. A. Brovelli et al.</copyright-statement>
<copyright-year>2019</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>
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<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLII-4-W20/3/2019/isprs-archives-XLII-4-W20-3-2019.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLII-4-W20/3/2019/isprs-archives-XLII-4-W20-3-2019.pdf</self-uri>
<abstract>
<p>&lt;p&gt;The paper presents SIMILE (Italian acronym for “Integrated monitoring system for knowledge, protection and valorization of the subalpine lakes and their ecosystems), a cross-border Italian-Swiss project whose general objectives are the strengthening of the coordinated management of the water of the great subalpine lakes in the so-called Insubric region and the intensification of stakeholder participation in the processes of knowledge and monitoring of the water resource. The project fits the purpose of SDG 6 and involves administrations, monitoring agencies, universities and research centers, and citizens.&lt;/p&gt;&lt;p&gt;SIMILE is a system where geospatial data, information, and techniques play a pivotal role. The system strongly benefits the information derived from the analysis of Sentinel 1 and Sentinel 3 imagery, in situ authoritative data, and user-contributed georeferenced data. A Business Intelligence (BI) platform, i.e. a web data-driven decision support system, will allow the integration, analysis, and synthesis of the information derived from the different types of data, heterogeneous in format, coordinate system, information content, and access method. The technologies that will be used are based on open software so as to guarantee the replicability and sustainability of the system.&lt;/p&gt;</p>
</abstract>
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