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    <responseDate>2026-10-14T13:02:42Z</responseDate>
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    <identifier>10.57760/sciencedb.34763</identifier>
    <datestamp>2026-04-27T10:00:20Z</datestamp>
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<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>2026-04-27</dc:date>
  <dc:title>WFI and MUX patches for generating synthetic infrared bands</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.34763</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset supports the training and evaluation of a conditional Generative Adversarial Network (cGAN) designed to reconstruct three target bands from Sentinel-2/MSI: Band 8A (narrow NIR), Band 11 (SWIR-1), and Band 12 (SWIR-2). The proposed approach uses only VNIR inputs (blue, green, red, and NIR) from Brazilian sensors to synthesize these bands, which are not natively available in CBERS-4, CBERS-4A, and AMAZONIA-1 imagery.</dc:description>
  <dc:subject>CBERS-4; CBERS-4A; AMAZONIA-1; Sentinel-2; WFI; MUX</dc:subject>
  <dc:creator>Alisson Cleiton de Oliveira</dc:creator>
  <dc:rights>EMBARGO</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>
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