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        <identifier>oai:figshare.com:article/14097104</identifier>
        <datestamp>2021-03-21T18:09:21Z</datestamp>
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          <dc:title>Supporting code and data for dissertation: 'large-area forest assessment and monitoring using disparate lidar datasets'</dc:title>
          <dc:creator>Ranjith Gopalakrishnan (10183655)</dc:creator>
          <dc:subject>Forestry management and environment</dc:subject>
          <dc:subject>FIA</dc:subject>
          <dc:subject>wall-to-wall mapping</dc:subject>
          <dc:subject>forest inventory</dc:subject>
          <dc:subject>lidar</dc:subject>
          <dc:subject>remote sensing forestry</dc:subject>
          <dc:subject>forestry</dc:subject>
          <dc:subject>remote sensing</dc:subject>
          <dc:subject>Forestry Management and Environment</dc:subject>
          <dc:description>This repository is for supporting code and data for the dissertation 'large-area forest assessment and monitoring using disparate lidar datasets' submitted by Ranjith Gopalakrishnan (2017). The focus of the work was on combining disparate lidar datasets with national forest inventory data (FIA) to generate forest parameters maps (such as canopy height) over large areas.  More details about this dataset can be found in the README file.</dc:description>
          <dc:date>2017-02-13T00:00:00Z</dc:date>
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          <dc:identifier>10.7294/W41Z429P</dc:identifier>
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