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    <responseDate>2026-10-14T15:45:32Z</responseDate>
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    <identifier>10.57760/sciencedb.IGA.001f7</identifier>
    <datestamp>2026-09-15T13:23:26Z</datestamp>
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  <dc:date>2026-09-15</dc:date>
  <dc:title>Observation Dataset of 2022 Space‑Air‑Ground Integrated Cooperative Observation Experiment under XDA28050302</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.iga.001f7</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset consists of black‑soil data acquired by multi‑band ground‑penetrating radar (GPR) equipment in Changchun during October 2022. As a special experiment for GPR detection of black‑soil stratigraphy in Northeast China, black‑soil moisture content was collected and jointly analyzed with historical black‑soil observation data. Based on field observation and comparative analysis, the moisture content and dielectric constant of black soil were analyzed, and comparative analysis results on the spatiotemporal characteristics of black soil in typical regions were obtained.

The experimental acquisition instrument is a multi‑band ground‑penetrating radar developed by the Aerospace Information Research Institute, Chinese Academy of Sciences. It adopts an ultra‑wideband carrier‑free pulse system with integrated antennas of three center frequencies: 200 MHz, 500 MHz and 1000 MHz. Utilizing ultra‑wideband high‑resolution GPR detection technology, fine‑scale detection of various soil types is realized, and subsurface layer interface information of typical black‑soil areas in Northeast China is acquired.</dc:description>
  <dc:subject>multi‑band ground‑penetrating; dielectric constant; subsurface layer interface inf</dc:subject>
  <dc:creator>叶盛波</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>
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