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    <identifier>10.57760/sciencedb.j00001.01452</identifier>
    <datestamp>2026-03-19T16:16:50Z</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>2026-03-19</dc:date>
  <dc:title>High resolution optical satellite remote sensing image cultivated land sample dataset in Yanhe River Basin (2022-2023)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00001.01452</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is based on high-resolution optical remote sensing images (GF-2). It generates a sample dataset of cultivated land in the Yan River Basin through a combination of manual visual interpretation and deep learning algorithms. The dataset includes single-band grayscale image (panchromatic) samples, multi-band RGB (multispectral) true color (3,2,1) composite image samples, and multi-band RGB true color composite fusion image samples (panchromatic images and multispectral images). The resolutions are 4m,2m, and 2m, respectively, with a resolution size of 256x256. The dataset comprises manually annotated samples and enhanced samples, totaling 3000 samples, with a data volume of approximately 648 MB. The data formats are *.tif, *.twf, and *.txt. The dataset consists of 3 data folders, including: (1) multispectral samples (Sample 1), with a sample size of 1000 and a data volume of 307 MB; (2) panchromatic samples (Sample 2), with a sample size of 1000 and a data volume of 66 MB; (3) fusion image samples (Sample 3), with a sample size of 1000 and a data volume of 275 MB.逐句对照</dc:description>
  <dc:subject>High resolution 2 satellite image; Yanhe River basin; multispectral; panchromatic; Blend images</dc:subject>
  <dc:creator>Shi Lei</dc:creator>
  <dc:creator>Wang Kun</dc:creator>
  <dc:creator>Yang Liangyan</dc:creator>
  <dc:creator>He Lirong</dc:creator>
  <dc:creator>Fan Hongjian</dc:creator>
  <dc:creator>Xia Liheng</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.11922/11-6035.csd.2025.0084.zh</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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