1. Calculating land use change in west linn from 2000-2017
Corrigan Etheredge
GEOG 580 Remote Sensing
12/3/2017

2. Population change
Like much of Oregon, the Portland suburb West Linn has experienced an increase in population
2000*
Population: 22,261
Housing units: 8,687
2010*
Population: 25,109
Housing units: 10,035
With an increase in population comes an increase in housing, roads, businesses, etc.
*Statistics from the Oregon 2010 Census

3. Research question
How much has land use change has occurred in West Linn, Oregon since 2000?

4. methods
Calculate land use area in square feet using Landsat remotely sensed data with a focus on urban features
Use false color (urban) band combinations to highlight urban areas
Train image classification to 4 land use types:
Urban: Buildings, roads, asphalt lots, and other man made structures
Developed: altered land for future development, property lots, bare earth, and agriculture
Green space: forests, parks, and other vegetated areas
Water
Run maximum likelihood classification
Convert raster to polygon
Clip polygon by West Linn city boundary
Dissolve polygons by land use type
Add new field (long integer) and calculate geometry by square meters.

5. Data Data projected in WGS 1984 UTM Zone 10N 2017: 2000: Study Area:
Landsat 8 image captured August 15, 2017
Multispectral raster file used
LC08_L1TP_046029_ _ _01_T1_MTL
ArcMap basemap used for reference
2000:
Landsat 7 image captured August 8, 2000
Composite band tool used for bands 1-7
LE07_L1TP_046029_ _ _01_T1_B[#]
Google Earth historic photo from July 22, 2000
Study Area:
Portland RLIS

6. Pre-Process Projected imagery and data frame to WGS 1984 UTM Zone 10N
Removed stretch function from raster function for both images
Applied apparent reflectance function to both images
Create a study area feature and define study area

7. True color Images
2000:
2017:

8. False color (urban) Band Combinations
2000: (7,5,3,)
2017: (7,6,3)
Urban areas appear purple, developed light green and white, green space green and dark green, and water blue.
Unique classification signature file used for each year

9. Classified images
2000:
Large red area here is where clouds were present. Using base map for accuracy eye test, these values did not appear to hurt results

10. results

12. Results
Urban land use change: 4,635,876 square meters
Developed land use change: -5,228,330 square meters
Green space land use change: 839,595 square meters

13. accuracy Possible accuracy issues Solutions
Images at 30 meter resolution
Reference and image quality for classification varies due to improved technology between landsat 7 and 8
Possible for some inaccurate pixel classification
Polygons have different geometry than raster groups, which themselves are relative
Solutions
Use images with higher resolutions (Ex. aerial imagery rather than satellite imagery)
Increase number of samples when training image classification