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        <identifier>oai:figshare.com:article/31901947</identifier>
        <datestamp>2026-09-14T05:41:26Z</datestamp>
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          <dc:title>Forest Aboveground Biomass and Structural Parameters Dataset of &lt;i&gt;Populus euphratica&lt;/i&gt; along the Mainstream of Tarim River (2022-2024)</dc:title>
          <dc:creator>qiuli yang (22803989)</dc:creator>
          <dc:subject>Forestry biomass and bioproducts</dc:subject>
          <dc:subject>Tarim River Basin</dc:subject>
          <dc:subject>Aboveground biomass.</dc:subject>
          <dc:subject>Populus euphratica Oliv.</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This dataset provides a high-resolution (30m) suite of forest parameters for the desert riparian forests (Populus euphratica) along the mainstream of the Tarim River, Xinjiang, China. The maps were generated based on multi-source data collected between 2022 and 2024, supporting long-term ecological monitoring and carbon sequestration research in arid environments.&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;b&gt;[Data Structure &amp; File List]&lt;/b&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;The dataset is provided as a compressed file Tarim_River_Forest_Data.zip. It contains five sub-folders, each including the GeoTIFF (.tif) and its associated auxiliary files (e.g., .tfw, .xml, .ovr):&lt;/p&gt;&lt;p dir="ltr"&gt;1.TRM_AGB_30m: Aboveground Biomass (AGB). Unit: Mg/ha.&lt;/p&gt;&lt;p dir="ltr"&gt;2.TRM_Canopyheight_30m: Canopy Height. Unit: meters (m).&lt;/p&gt;&lt;p dir="ltr"&gt;3.TRM_Canopycover_30m: Canopy Coverage. &lt;/p&gt;&lt;p dir="ltr"&gt;4.TRM_FHD_30m: Foliage Height Diversity (FHD). A vertical structural index reflecting canopy complexity.&lt;/p&gt;&lt;p dir="ltr"&gt;5.TRM_LAI_30m: Leaf Area Index (LAI).&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;b&gt;[Technical Specifications]&lt;/b&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;Temporal Coverage: 2022-2024.&lt;/p&gt;&lt;p dir="ltr"&gt;Spatial Resolution: 30 meters.&lt;/p&gt;&lt;p dir="ltr"&gt;Coordinate System: WGS 84.&lt;/p&gt;&lt;p dir="ltr"&gt;Methodology: The inversion models were developed using Random Forest algorithms, validated with field-measured plot data. The products represent the average forest status during the 2022-2024 period.&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;b&gt;[Usage Note]&lt;/b&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;These maps are intended for scientific research and forest management. Please ensure the spatial reference is correctly handled when integrating with other geospatial data.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;</dc:description>
          <dc:date>2026-09-14T05:41:26Z</dc:date>
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          <dc:identifier>10.6084/m9.figshare.31901947.v1</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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