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    <responseDate>2026-10-12T18:48:33Z</responseDate>
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    <identifier>10.57760/sciencedb.31439</identifier>
    <datestamp>2026-03-27T09:00:13Z</datestamp>
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  <dc:date>2026-03-27</dc:date>
  <dc:title>A forecasted surface velocity database for cities of the Mediterranean's southern coast to assess coastal displacement's contribution to shoreline change by 2030</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.31439</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>These data are the surface displacement of 27 South Mediterranean coastal cities over 15 years, where 10 years were observed by the InSAR Time Series technique of Small BASeline (SBAS) and 5 years were forecasted by using the Temporal Convolutional Networks (TCN) deep learning forecasting model. This work was supported by the International Society of Photogrammetry and Remote Sensing (ISPRS) Scientific Initiatives 2025 project: A forecasted surface velocity database for cities of the Mediterranean's southern coast to assess coastal displacement's contribution to shoreline change by 2030. The data collection and interferogram generation were done using the Alaska Satellite Facility (ASF)&amp;rsquo;s Hyp3, and the time-series generation for InSAR surface displacement was done using Miami InSAR time-series software in Python (MINTPY).&amp;nbsp;</dc:description>
  <dc:subject>InSAR; SBAS; Time series forecasting; North Africa; Coastal cities</dc:subject>
  <dc:creator>Bahaa Mohamadi</dc:creator>
  <dc:creator>Tamer ElGharbawi</dc:creator>
  <dc:creator>Kamel Hasani</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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