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    <responseDate>2026-10-12T18:18:53Z</responseDate>
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    <identifier>10.57760/sciencedb.011vi</identifier>
    <datestamp>2026-09-09T15:34:06Z</datestamp>
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  <dc:date>2026-09-09</dc:date>
  <dc:title>Unsupervised Automated Remote Sensing Monitoring of Crop Lodging for the Entire Pre- and PostDisaster Process</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.011vi</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset supports the study &amp;ldquo;Unsupervised Automated Remote Sensing Monitoring of Crop Lodging for the Entire Pre- and Post-Disaster Process.&amp;rdquo; It contains a Sentinel-2 Level-2A surface reflectance time series covering Bohetai Township, Zhaoyuan County, Daqing City, Heilongjiang Province, China, from January 19, 2018, to December 25, 2020. Images with scene-level cloud cover below 20% were selected and deduplicated by acquisition date, resulting in 108 observations. Each image was clipped to the administrative boundary of Bohetai Township, resampled to a spatial resolution of 10 m, and projected to WGS 84/UTM Zone 51N (EPSG:32651). Each observation contains bands B02, B03, B04, B05, B06, B07, B8A, and B11, together with the Scene Classification Layer (SCL). The dataset can support crop growth curve construction, time-series anomaly detection, vegetation index calculation, crop lodging monitoring, and related agricultural remote-sensing research.</dc:description>
  <dc:subject>Crop lodging; Sentinel-2; Time series; Anomaly detection</dc:subject>
  <dc:creator>Guo Rui</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.11834/jrs.20265421</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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