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    <identifier>10.57760/sciencedb.01898</identifier>
    <datestamp>2022-11-16T15:33:56Z</datestamp>
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  <dc:date>2022-11-16</dc:date>
  <dc:title>UAV-HSI-Crop-Dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.01898</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The study area locates in Shenzhou City, Hebei Province, China, and it consists of two sub-regions, Majiakou Village's plots(MJK_N, MJK_S) and Xijingmeng Valliage's plots(XJM). The hyperspectral data obtained on September 18th, 2019, with an electric hexacopter. The UAV carried the sensor Pika L hyperspectral imager made by Resonon company, which has a spectral range of 385nm to 1024nm with a total of 200 bands. And the flight height was set to be 100 m, resulting in a spatial resolution of 0.1 m per pixel. Spectronon and ENVI software was utilized for the post-processing of the hyperspectral data, including radiometric calibration, geometric correction, image stitching, and atmospheric correction. The images cropped to the 96*96*200 patches, then split into the Training set and Test set with a ratio of 8:2. The patches in the dataset are all numpy data type.</dc:description>
  <dc:subject>UAV; hyperspectral remote sensing; deep learning; crop classification</dc:subject>
  <dc:creator>Niu Bowen</dc:creator>
  <dc:creator>Feng Quanlong</dc:creator>
  <dc:creator>Chen Boan</dc:creator>
  <dc:creator>Ou Cong</dc:creator>
  <dc:creator>Liu Yiming</dc:creator>
  <dc:creator>Yang Jianyu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/https://doi.org/10.1016/j.compag.2022.107297</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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