University of Washington Tacoma
GIS Certificate Program
+
Cal Poly Pomona
Master of Landscape Architecture Student
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LiDAR Analysis of University of Washington Tacoma's Campus
From urban planning to managing
forests (check out UBC’s Malcolm Knapp
Research Forest data), LiDAR is being
used globally to explore and solve
pressing issues - in three dimensions.
According to NOAA (National Ocean
and Atmoshperic Administration):
"LIDAR, which stands for Light
Detection and Ranging, is a remote
sensing method that uses light in the form of a pulsed laser to measure ranges (variable distances) to the Earth. These light pulses—combined with other data recorded by the airborne system— generate precise, three-dimensional information about the shape of the Earth and its surface characteristics." (Source: oceanservice.noaa.gov/facts/lidar)
Fig. 1: A photograph of Bixby Bridge in Big Sur, CA (Right) and an image created with LiDAR data (Left).
This analysis will utilize LiDAR data collected by the University of Washington Tacoma regarding the building structures on the campus. The building footprints arrive in the form of a shapefile, and heights are extruded along a Z-axis. This analysis will explore how accurate;y the LiDAR data respresents the relative heights of the buildings in reality.
LiDAR Return Data Rasters
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Fig. 2: Orthophoto, downtown
Tacoma, WA.
Fig. 3: Bare Earth returns raster. Bare earth (BE) LiDARE returns measure the height of the ground, or how high above sea level the gorund is.
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Fig. 4: All Returns raster. All returns LiDAR data measures the top heights of all returning data including structures, i.e. top of buildings.
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Building Footprints
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Fig. 5: Shapefile of UWT building footprints.
Fig. 6: Buildings' central points.
Fig. 7: Building shapefile overlayed on Bare Earth raster.
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Ground Truthing
Though the LiDAR data is relatively accurate (it is not precise), a few alterations were in order post ground truthing - relative heights in Fig. 10 were compared with visual observations of campus buildings. Figures 11 (shapefile) and 13 (resulting ArcScene with extruded buildings) include new buildings and buildings whose footprint or height in the original data appeared to be different from reality.
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New Building
Altered Building
Fig. 11 (Left): New shapefile with new buildings not included in original shapefile in orange and altered buildings, striped.
Table 1 (Above): Building Names and abbreviations from ArcMap attribute table. (Click on table to go to UW Tacoma's campus building website.)
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Fig. 13: New ArcScene including new buildings, extruded to minimum heights
ArcScene Analysis
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Fig. 8: Orthophoto of UW Tacoma campus in ArcScene (Left).
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Fig. 9: Orthophoto of UW Tacoma campus in ArcScene "draped" over a base height using "BE_Grid", or Bare Earth LiDAR data (Right).
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Fig. 10: UWT Building footprint shapefile, with a base height using "BE_Grid" and extruded to maximum Z height.
Skills Used
- LiDAR data
- Extruding vector shapes into 3D features
- Zonal Statistics
- Raster value extraction
- Creating points from tabular data
Lauren McKenna
lmckenna@uw.edu, April 2016
University of Washington Tacoma, Geospatial Technologies
ArcMap 10.3.1, ArcScene 10.3.1
Projection: NAD 1983 HARN State Plane Washington South FIPS 4602 Feet
Sources: UWT GIS 414 data.