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    <title>GDACS RSS information</title>
    <link>https://www.gdacs.org/</link>
    <description>Near real-time alerts about natural disaster with a potential humanitarian impact</description>
    <managingEditor>stefano.paris@ext.ec.europa.eu</managingEditor>
    <!--Records number 1-->
    <!--Start 11/25/2020 11:01:33 AM-->
    <!--=Start 11/25/2020 11:01:33 AM-->
    <webMaster>stefano.paris@ext.ec.europa.eu</webMaster>
    <pubDate>Wed, 25 Nov 2020 10:01:33 GMT</pubDate>
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      <title>Green flood alert in Democratic Republic of the Congo</title>
      <description>On 15/11/2020, a flood started in Democratic Republic of the Congo, lasting until 20/11/2020 (last update). The flood caused 9 deaths and 0 displaced .</description>
      <enclosure type="image/png" length="1" url="https://www.gdacs.org/saved/gdacs/fl/dfo2020_1100678.png" />
      <gdacs:temporary>false</gdacs:temporary>
      <link>https://www.gdacs.org/report.aspx?eventtype=FL&amp;eventid=1100678</link>
      <pubDate>Fri, 20 Nov 2020 00:00:00 GMT</pubDate>
      <gdacs:iscurrent>false</gdacs:iscurrent>
      <gdacs:fromdate>Sun, 15 Nov 2020 00:00:00 GMT</gdacs:fromdate>
      <gdacs:todate>Fri, 20 Nov 2020 00:00:00 GMT</gdacs:todate>
      <gdacs:durationinweek>1</gdacs:durationinweek>
      <gdacs:year>2020</gdacs:year>
      <dc:subject>FL1</dc:subject>
      <guid isPermaLink="false">FL1100678</guid>
      <geo:Point>
        <geo:lat>-1.5641819</geo:lat>
        <geo:long>29.0516096</geo:long>
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      <gdacs:bbox>25.0516096 33.0516096 -5.5641819 2.4358181</gdacs:bbox>
      <georss:point>-1.5641819 29.0516096</georss:point>
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      <gdacs:icon>https://www.gdacs.org/Images/gdacs_icons/alerts/Green/FL.png</gdacs:icon>
      <gdacs:version>1</gdacs:version>
      <gdacs:eventtype>FL</gdacs:eventtype>
      <gdacs:alertlevel>Green</gdacs:alertlevel>
      <gdacs:alertscore>1</gdacs:alertscore>
      <gdacs:episodealertlevel>Green</gdacs:episodealertlevel>
      <gdacs:episodealertscore>1</gdacs:episodealertscore>
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      <gdacs:eventid>1100678</gdacs:eventid>
      <gdacs:episodeid>1</gdacs:episodeid>
      <gdacs:calculationtype />
      <gdacs:severity unit="" value="0">Magnitude 0 </gdacs:severity>
      <gdacs:population unit="Population Affected" value="9">9 deaths </gdacs:population>
      <gdacs:vulnerability value="0" />
      <gdacs:iso3>COD</gdacs:iso3>
      <gdacs:country>Democratic Republic of the Congo</gdacs:country>
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          <gdacs:title>Event in rss format</gdacs:title>
          <gdacs:description>The event data in xml format</gdacs:description>
          <gdacs:acknowledgements>Copyright European Union. Syndication allowed, provided the source is acknowledged.</gdacs:acknowledgements>
          <gdacs:accesslevel>Public</gdacs:accesslevel>
        </gdacs:resource>
        <gdacs:resource id="UNOSATmaps_country" version="0" source="" url="http://www.unitar.org/unosat/maps/COD" type="html">
          <gdacs:title>UNOSAT maps by country</gdacs:title>
          <gdacs:accesslevel>Public</gdacs:accesslevel>
        </gdacs:resource>
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          <gdacs:title>MODIS Automatic Flood Map</gdacs:title>
          <gdacs:description>NASA Goddard's Office of Applied Science, in collaboration with Dartmouth Flood Observatory, is working to operationalize near real-time global flood mapping using available satellite data resources</gdacs:description>
          <gdacs:acknowledgements>NASA Experimental Product</gdacs:acknowledgements>
          <gdacs:accesslevel>Public</gdacs:accesslevel>
        </gdacs:resource>
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          <gdacs:title>MODIS Automatic Flood Map KMZ</gdacs:title>
          <gdacs:description>NASA Goddard's Office of Applied Science, in collaboration with Dartmouth Flood Observatory, is working to operationalize near real-time global flood mapping using available satellite data resources</gdacs:description>
          <gdacs:acknowledgements>NASA Experimental Product</gdacs:acknowledgements>
          <gdacs:accesslevel>Public</gdacs:accesslevel>
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          <gdacs:title>MODIS Automatic Flood Map (shapefiles)</gdacs:title>
          <gdacs:description>NASA Goddard's Office of Applied Science, in collaboration with Dartmouth Flood Observatory, is working to operationalize near real-time global flood mapping using available satellite data resources</gdacs:description>
          <gdacs:acknowledgements>NASA Experimental Product</gdacs:acknowledgements>
          <gdacs:accesslevel>Public</gdacs:accesslevel>
        </gdacs:resource>
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          <gdacs:title>KML Event</gdacs:title>
          <gdacs:description>Link to KML data of this event</gdacs:description>
          <gdacs:acknowledgements>Copyright European Union. Syndication allowed, provided the source is acknowledged.</gdacs:acknowledgements>
          <gdacs:accesslevel>Public</gdacs:accesslevel>
        </gdacs:resource>
        <gdacs:resource id="cap_link" version="0" source="JRC" url="https://www.gdacs.org/cap.aspx?profile=archive&amp;eventid=1100678&amp;eventtype=FL" type="xml">
          <gdacs:title>CAP file</gdacs:title>
          <gdacs:description>Link to CAP data of this event</gdacs:description>
          <gdacs:acknowledgements>Copyright European Union. Syndication allowed, provided the source is acknowledged.</gdacs:acknowledgements>
          <gdacs:accesslevel>Public</gdacs:accesslevel>
        </gdacs:resource>
        <gdacs:resource id="metoffice" version="0" source="WMO" url="http://www.meteo-congo-kinshasa.net" type="link">
          <gdacs:title>Agence Nationale de Meteorologie et de Teledetection par Satellite</gdacs:title>
          <gdacs:description>Official website of meteorological institute</gdacs:description>
          <gdacs:accesslevel>Public</gdacs:accesslevel>
        </gdacs:resource>
        <gdacs:resource id="modis_flood_download" version="0" source="NASA" url="https://floodmap.modaps.eosdis.nasa.gov/Products/020E000S/MFW_2020324_020E000S_3D3OT_V.kmz" type="kmz">
          <gdacs:title>MODIS Automatic Flood Map KMZ</gdacs:title>
          <gdacs:description>NASA Goddard's Office of Applied Science, in collaboration with Dartmouth Flood Observatory, is working to operationalize near real-time global flood mapping using available satellite data resources</gdacs:description>
          <gdacs:acknowledgements>NASA Experimental Product</gdacs:acknowledgements>
          <gdacs:accesslevel>Download</gdacs:accesslevel>
        </gdacs:resource>
        <gdacs:resource id="inform_report" version="0" source="INFORM" url="https://drmkc.jrc.ec.europa.eu/inform-index/Portals/0/InfoRM/2019/Country_Profiles/COD.pdf" type="link">
          <gdacs:title>Inform Country Report</gdacs:title>
          <gdacs:description>The link to informa data by country specified</gdacs:description>
          <gdacs:accesslevel>Public</gdacs:accesslevel>
        </gdacs:resource>
        <gdacs:resource id="inform_reference" version="0" source="INFORM" url="http://www.inform-index.org/" type="link">
          <gdacs:title>Inform Website</gdacs:title>
          <gdacs:description>The link to inform website</gdacs:description>
          <gdacs:accesslevel>Public</gdacs:accesslevel>
        </gdacs:resource>
        <gdacs:resource id="dynamic_map_event" version="0" source="JRC" url="https://www.gdacs.org/gdacsapi/api/polygons/getgeometry?eventtype=FL&amp;eventid=1100678&amp;episodeid=1" type="json">
          <gdacs:title>The event in geojson format</gdacs:title>
          <gdacs:accesslevel>Private</gdacs:accesslevel>
        </gdacs:resource>
      </gdacs:resources>
      <gdacs:identifiers>
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</rss><!--End 11/25/2020 11:01:34 AM-->