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  <identifier>D:\SDP_S3_Uploads\draft_products\UER_canopy_ht_33cm_v2.tif</identifier>
  <parentidentifier></parentidentifier>
  <language>en</language>
  <type>dataset</type>
  <title>One-third meter resolution vegetation canopy height derived from 2015 and 2019 LiDAR data</title>
  <abstract>This is a map of vegetation canopy height suitable for tree detection and crown segmentation, derived from high-density airborne LiDAR scans collected in August - September 2015 and 2019. Classified LiDAR point clouds from both datasets were re-projected to a common coordinate system (EPSG:32613, WGS84 UTM Zone 13N). A 0.33m canopy height model was constructed for each dataset by triangulating ground returns and subtracting the elevation of the ground surface. A pitfree algorithm (Khosravipour et al. 2014) was then used to reconstruct canopy geometry. All point cloud processing was done using the R package lidR version 2.1. 

The two canopy height models from the 2015 and 2019 LiDAR datasets were mosaiced to produce a continous dataset, with the 2019 data taking priority where there was coverage (approximately 80% of the domain). Buildings and topographic artifacts were removed by setting canopy heights to zero within 1m of building footprints in the Microsoft Bing dataset, and in areas with a negative NDVI in NAIP 4-band aerial imagery.

References:

Khosravipour, A., Skidmore, A. K., Isenburg, M., Wang, T., &amp; Hussin, Y. A. (2014). Generating pit-free canopy height models from airborne lidar. Photogrammetric Engineering &amp; Remote Sensing, 80(9), 863-872.</abstract>
  <keywords vocabulary="gmd:topicCategory">
    <keyword>Elevation</keyword>
    <keyword>Environment</keyword>
    <keyword>Geoscientific Information</keyword>
  </keywords>
  <contact>
    <name>Ian Breckheimer</name>
    <organization>Rocky Mountain Biological Laboratory</organization>
    <position>Research Scientist</position>
    <voice></voice>
    <fax></fax>
    <email>ikb@rmbl.org</email>
    <role>owner</role>
  </contact>
  <links>
    <link description="Spatial Data Platform Description" type="WWW:LINK" name="URL" url="https://rmbl.org/data" size="" mimeType="" format=""/>
  </links>
  <fees></fees>
  <license>Creative Commons Attribution 4.0</license>
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      <proj4>+proj=utm +zone=13 +datum=WGS84 +units=m +no_defs</proj4>
      <srsid>3097</srsid>
      <srid>32613</srid>
      <authid>EPSG:32613</authid>
      <description>WGS 84 / UTM zone 13N</description>
      <projectionacronym>utm</projectionacronym>
      <ellipsoidacronym>EPSG:7030</ellipsoidacronym>
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