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    <identifier>10.57760/sciencedb.iga.01250</identifier>
    <datestamp>2026-09-18T15:19:20Z</datestamp>
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  <dc:date>2026-09-18</dc:date>
  <dc:title>Demonstration Zone Hydrothermal Key Parameters Remote Sensing Monitoring Dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.iga.01250</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is a thematic scientific dataset produced by a sub-project of the Strategic Priority Research Program of the Chinese Academy of Sciences. It primarily covers key water and heat parameters for farmland in the Changchun Demonstration Zone, including evapotranspiration and land surface temperature. The dataset was generated through inversion based on multi-source remote sensing data and ground-based IoT sensor data. In terms of data accuracy and coverage, the remote sensing monitoring accuracy of various data products exceeds 80%, with a spatial resolution better than 30m. The temporal coverage spans the crop growing season, with a monitoring frequency of at least once per month during the growing season. The dataset is mainly stored in raster (TIFF) format, capable of accurately reflecting the spatiotemporal distribution characteristics of key water and heat parameters for farmland within the Changchun Demonstration Zone. The monitoring data covers the years 2020&amp;ndash;2025, specifically from May to October, encompassing the entire crop growing season. The total dataset size is 1.26 GB.</dc:description>
  <dc:subject>remote sensing; monitoring; evapotranspire</dc:subject>
  <dc:creator>杜嘉</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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