Peter Brehm Boucher, PhD

Work Portfolio

Projects and workflows for cataloging, processing, & analyzing geospatial data

Lidar-Notebooks

Lidar-Notebooks on Github

A set of efficient pipelines for voxelizing lidar point clouds, computing vegetation structure metrics, and comparing differences among sites/regions.

See Boucher et al., 2023 for use-cases

Consists of 3 jupyter notebook workflows:

LasFilePreProcessing

  • Tools for clipping point clouds, computing point heights, and making shapefiles of data extents

PolygonMetrics

  • A pipeline for computing voxel metrics for polygon features
  • Takes in a shapefile of site polygons, outputs lidar vegetation metrics for each polygon

VoxelMetrics

  • A pipeline for computing voxelized metrics (vertical cover, plant area index, vegetation complexity, etc.) from lidar point clouds
  • Takes in point clouds, builds a 3-D grid, computes metrics in parrallel, and outputs 2-D rasters and 3-D data products as geotiff and netcdf files

Airborne-RS-Catalog

A workflow that catalogs, processes, & visualizes airborne remote sensing datasets, including:

Takes in:

  • Airplane/drone flight trajectories
  • Base station data
  • RGB and thermal imagery
  • Lidar point clouds
  • Raster data tiles (e.g. Canopy Height Models (CHMs), Elevation models (DTMs), Orthomosaics, etc.)

Outputs:

  • Merged, mosaicked, and/or stacked raster data products
  • File extent polygons (shapefiles and kmls)
  • Metadata .json files (for easy-access later)

See Boucher et al., 2023 for use-cases

Additional projects coming soon!