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        <datestamp>2026-09-14T09:34:32Z</datestamp>
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          <dc:title>A global 30 m urban visible greenness dataset</dc:title>
          <dc:creator>Chaoqun Zhang (24868750)</dc:creator>
          <dc:creator>Ziyue Chen (22956593)</dc:creator>
          <dc:subject>Other environmental sciences not elsewhere classified</dc:subject>
          <dc:subject>Greenview index</dc:subject>
          <dc:subject>Urban visible greenness</dc:subject>
          <dc:subject>Urban greening</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This research presents the first version (v1.0) of a global Urban Visible Greenness (UVG) dataset covering 958 major cities worldwide from 2007 to 2020 at a 30 m spatial resolution. The dataset estimates visible urban greenness by integrating street-view-derived Green View Index (GVI) with satellite-based spectral and structural features, environmental variables, and terrain information using a Random Forest model. It provides a globally consistent, long-term representation of urban greenness as perceived by residents and supports research on urban green infrastructure, environmental equity, and sustainable urban development.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-14T09:34:32Z</dc:date>
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          <dc:identifier>10.6084/m9.figshare.33719659.v1</dc:identifier>
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