Time-series of lidar data for the H. J. Andrews Experimental Forest and Willamette National Forest, 2008-2021

  • Creator(s): David Bell
  • PI(s): David Bell
  • Originator(s): David Bell
  • Other researcher(s):
  • Dates of data preparation: Aug 10 2008 - Sep 1 2021
  • Data collection status: Study continues and further data collection is planned
  • Data access: Online
  • Last update: Apr 3 2023 (Version 1)
<Citation>     <Acknowledgement>     <Disclaimer>    
Watershed Sciences, Quantum Spatial, Inc. (QSI), and NV5 have all collected Light Detection and Ranging (lidar) data from HJ Andrews and the Willamette National Forest (WNF) over a series of years (2008, 2011, 2014, 2016, 2020, and 2021). Flight acquisition details, including sensor, elevation, point density, accuracy, and area differ, sometimes substantially. In particular, coordinate systems differ among acquisitions as do workflows for generating data products, like 1-m rasters of ground height, presenting a challenge to time-series analysis. To allow for time-series analysis for lidar data products, we developed a common workflow for processing lidar point clouds to generate temporally consistent geospatial products. We reprojected all point clouds (.las files) to UTM 10. We then generated rasters for (1) digital terrain, digital surface, and canopy height models at 1-m resolution (m) and (2) derivative topographic (slope, aspect, hillshade) and vegetation (crownshade, 95th percentile height, standard deviation in height, canopy cover) at 5- and 25-m resolutions. Shapefiles were also generated for (1) the extent of the processed data and (2) 10-m contour lines.

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