<?xml version="1.0" encoding="UTF-8"?>

<?xml-stylesheet type="text/xsl" href="/static/oaitohtml.xsl"?>

<!--
<?xml-stylesheet type="text/xsl" href="/oaitohtml.xsl"?>
-->

<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <responseDate>2026-10-13T01:23:23Z</responseDate>
    <request verb="GetRecord" metadataPrefix="oai_dc" identifier="10.57760/sciencedb.41573" >https://www.scidb.cn/oai</request>
<GetRecord>
    <record>
    <header >
    <identifier>10.57760/sciencedb.41573</identifier>
    <datestamp>2026-07-01T15:19:48Z</datestamp>
</header>
    <metadata>
        
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-07-01</dc:date>
  <dc:title>Independent Test Set: Multitemporal Sentinel-2 Patches (64&amp;times;64) for Flood Mapping &amp;ndash; Ibicu&amp;iacute; River Basin, Rio Grande do Sul, Brazil</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.41573</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Independent Test Dataset &amp;ndash; Flood Mapping (Ibicu&amp;iacute; River Basin, Rio Grande do Sul, Brazil)OverviewThis dataset provides 935 spatially independent test patches from the Ibicu&amp;iacute; River Basin, Brazil, a region not used during training or validation. The Sentinel-2 acquisitions used are: three pre-disaster images (May 1, 2025; May 4, 2025; June 8, 2025) and one post-disaster image (June 23, 2025).It enables robust evaluation of flood mapping models under two temporal configurations that vary the number of pre-flood observations:3-time setup: 2 pre-flood + 1 post-flood acquisition4-time setup: 3 pre-flood + 1 post-flood acquisitionIn both cases, the post-flood acquisition and flood mask correspond to the same reference date (June 23, 2025).Data Structurepatches_crops_images_3times/:4 crops (crop1&amp;ndash;crop4), each containing:images/: patches with 9 channels &amp;mdash; 3 time steps, each composed of Green, Red, and Near-Infrared (NIR) bandsmasks/: corresponding flood masks indicating flooded and non-flooded areaspatches_crops_images_4times/:Same 4 crops, each containing:images/: patches with 12 channels &amp;mdash; 4 time steps, each composed of Green, Red, and Near-Infrared (NIR) bandsmasks/: identical flood masks as in the 3-time setupPatch counts:| Crop  | Patches || crop1 | 187 || crop2 | 420 || crop3 | 168 || crop4 | 160 || Total | 935 |Spatial ReferenceCRS: EPSG:32721 (WGS 84 / UTM zone 21S)Resolution: 10 m/pixelLocation: Ibicu&amp;iacute; River Basin, Rio Grande do Sul, Brazil</dc:description>
  <dc:subject>flood detection; independent test set; Sentinel-2; Ibicuí River; Brazil; remote sensing; spatiotemporal analysis; GeoTIFF; UTM zone 21S</dc:subject>
  <dc:creator>Costa, Cesar Augusto de Moraes</dc:creator>
  <dc:creator>Körting, Thales Sehn</dc:creator>
  <dc:creator>Leal, Karine Bastos</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
</oai_dc:dc>

    </metadata>
</record>
</GetRecord>
</OAI-PMH>