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                <identifier>oai:data.mendeley.com/8pzk3f484z.1</identifier>
                <datestamp>2024-04-08T15:08:49Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" 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">
    <dc:creator>Di Mauro, Biagio</dc:creator>
    <dc:title>Hyperspectral data for PRISMA L1 and L2D validation over snow</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset has been used in the manuscript titled &quot;Evaluation of PRISMA products over snow in the Alps and Antarctica&quot;. It contains radiance and reflectance data collected in the field at three sites: two in the Western European Alps (Torgnon and Plateau Rosa) and one in East Antarctica (Nansen Ice Shelf). Those data have been used to validate PRISMA Level 1 (L1) and Level 2 (L2D) products for different snow conditions. PRISMA is a hyperspectral satellite mission launched by the Italian Space Agency (ASI) in April 2019. The mission is designed to collect data at global scale for a variety of applications, including those related to the cryosphere. PRISMA data were acquired contemporary to both field measurements and Sentinel-2 data. Simulated Top of the Atmosphere (TOA) radiance data were then compared to L1 PRISMA and Sentinel-2 TOA radiance. Bottom Of Atmosphere (BOA) reflectance from PRISMA L2D and Sentinel-2 L2A data were then evaluated by direct comparison with field data. The dataset contains also the Mean Absolute Difference (MAD) calculated for each comparison between field and satellite data.
</dc:description>
    <dc:subject>Spectroscopy</dc:subject>
    <dc:subject>Hyperspectral Imaging</dc:subject>
    <dc:subject>Surface Reflectance</dc:subject>
    <dc:subject>Snow</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/8pzk3f484z.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/8pzk3f484z.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:date>2024-04-08T15:08:49Z</dc:date>
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