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    <responseDate>2026-10-12T11:34:41Z</responseDate>
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    <header >
    <identifier>10.57760/sciencedb.IGA.0017l</identifier>
    <datestamp>2026-09-15T13:27:54Z</datestamp>
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    <metadata>
        
<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>2026-09-15</dc:date>
  <dc:title>Farmland Waterlogging Dataset of the Core Demonstration Area in Nong'an County (2021&amp;ndash;2022)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.iga.0017l</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains farmland waterlogging-related data for the core demonstration area of Chenjiadian, Nong'an County, Jilin Province, and is primarily intended for waterlogging identification and mapping, result comparison and visualization, and sample verification. The dataset consists of two parts: 2022 waterlogging mapping data and historical UAV imagery.
(1) 2022 waterlogging mapping data: located in the 2022年涝灾 directory. The core data include NDVI raster data (GeoTIFF) and waterlogging/flooding masks derived from NDVI (GeoTIFF), along with visible-band raster data for spatial comparison and visual interpretation. To ensure consistency in GIS software loading and subsequent processing, auxiliary files are also provided, including overview files (.ovr), world files (.tfw), and auxiliary metadata files (.aux.xml, .xml, etc.).
(2) Historical UAV imagery: located in the 20210827倒伏玉米\dji directory, containing original UAV photographs (DJI_XXXX.JPG). These images were acquired on August 27, 2021, as an aerial image sequence with a single-image resolution of 5472 &amp;times; 3648, and are used to document typical field conditions and provide visual reference for interpreting waterlogging or lodging-related damage.
In addition, the directory contains several JPG result figures, such as 涝灾.jpg, NDVI_涝灾.jpg (with an enlarged view), and 可见光_涝灾.jpg (with an enlarged view), which are intended for result presentation and quick browsing. They are generally used for report mapping and result verification; for quantitative analysis, the GeoTIFF raster data are recommended as the primary source.</dc:description>
  <dc:subject>floods; GIS; corn</dc:subject>
  <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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