Lidar Data
FUSION
At Metro
Justin Houk
Metro Data
Resource Center

Fusion:
1. (noun)The merging of different elements into a union
2. (noun) A style of cooking that combines ingredients and
techniques from very different cultures or countries

• Metro is using the 2004/2007 Lidar
Consortium Data to Add value to existing
data by fusing it to other data sources
• We are also cooking up new Lidar derivatives

Metro 2007 High Resolution Landcover
Regional, Local, Neighborhood
Trees
Grass/Shrubs
Built
Water

Overwatch Systems
Feature Analyst

Reference Data
Users
Shrub/
Classification Data Total
Trees Built Water
Acc. %
Grass
Trees 90%
189 14 6 0 209
Shrub/Grass 80%
161
24 16 0 201
Built 92%
219
9 10 1 239
Water 92%
34
0 0 3 37
Total 222 185 244 35 686
Producers Acc. % 85% 87% 90% 97%
Accuracy = 88% Kappa = .83

686 Reference Site

How much did we get?
Area Covered Area Missed

Your Chance of Finding it
You Find it You Don’t

Kappa

Regional
.83
Automated
Success!
Neighborhood
88% Local

Using Lidar Data to Add Value
Filling in the missing pieces

University of Portland

Wet Ground
Sha
dow
s

Making The Feature Height Model
First Return DEM Bare Earth DEM
-

Feature Height Model

Classified Feature Height Model
0-2 Grass.Pavement
3-12 Shrub.Car
>13 Building.Tree

Dude!
Logic dicta
tes that a
tree
with a hei
ght less th
an two
feet is not
a tree!
Brosef!

Some Flaws are introduced
More pixels fixed
than broken
Powe
r Line

New Derivatives
Building Footprints 2 foot Contours
Streams 3D Buildings

Connect with me
{
GEOpdx
GEOpdx.blogspot.com
Justin C. Houk
Justin.houk@oregonmetro.gov