Landsat Imagery in Rochester Minnesota Patrick Landisch amp Stephanie Zahler May 3 rd 2013 FR 3262 Rochester Minnesota Third largest city in Minnesota Population 57890 in 1980 ID: 563808
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Slide1
Quantifying Urbanization with Landsat Imagery in Rochester, Minnesota
Patrick
Landisch
& Stephanie
Zahler
May 3
rd
, 2013
FR 3262Slide2
Rochester, Minnesota
Third largest city in Minnesota
Population:
57,890 in 1980*
70,745 in 2000*209,607 in 2012
*U.S. Decennial CensusSlide3
Original Landsat 5 ImageryMay, 1985
April, 2001Slide4Slide5
Image Preparatory ProcessNad 83 UTM Zone 15N
Determine area of interest in Arc GIS
Minnesota Data Deli PLS Townships
Export
shapefile of area of interestClip image to area of interest
4 townships containing Rochester in Olmsted CountyRange 13W, Township 107N
Range 13W, Township 106N
Range 14W, Township 107N
Range 14W, Township 106NSlide6
Clipped ImageryMay, 1985
April, 2001Slide7
ClassificationSupervised classification10-20 training sites for each classClassified:
Urban Areas
Agriculture
Forest Land
WaterBare SoilSlide8
Classified Images
May, 1985
April, 2001Slide9
Change DetectionThematic Change
Uses the classified
i
mages
Detects change within five “Zones”Zones determined by classified image
Image Difference
20%
t
hreshold on “highlight
c
hange” image
Pixel by pixel
m
ethodSlide10
Thematic Change Detection ImageSlide11
Image Difference: “Highlighted Change”Slide12
Accuracy AssessmentUsed NAIP imagery for the entire state of Minnesota2006 land cover data as reference for 2001 imageryClipped to our area of interestSlide13
Accuracy Assessment
71.43%Slide14
Results
Percent Change to Urban Area 1985-2001
Percent Change
Acres
Bare Agriculture to Urban
0.1367
3119.48
Water to Urban
0.1998
37.42
Green Vegetation to Urban
0.1085
566.1
Forest to Urban
0.1513
4829.1
Urban to Urban (Acres in 1985)
15503
Total
0.5963
24055.1Slide15
Discussion 2001 as an endpoint for our study, but may be used as a starting point for future studiesAdd another photo or two to monitor increment change between ’85 and ‘01Rough study of 15 years of urban growth
It would be interesting to start this study during the 30’s or 40’s
Added two more photos from the fall
Improve classification processSlide16
Limitations/ChallengesFirst time using ERDAS to do data analysisDid not find images with no cloud cover10% proved to be acceptableNo reference map used for 1985 classification
Provided more confidence in our results
Could not find images from the same month
Interpreting the data with confidence Slide17
Conclusion Learning experience with ERDAS ImagineUrban expansion is important to monitor RapidUseful in city planning and allocating resources
Historical information regarding previous land use
Provide a helpful resource for anyone attempting to do a similar projectSlide18
Referenceshttp://deli.dnr.state.mn.us/http://landsat.gsfc.nasa.gov/about/landsat5.html
http://glovis.usgs.gov/
http://www.fsa.usda.gov/FSA/NAIP
FR 3262 Lab Lesson 6- Image Operations and Clip
FR
3262 Lab Lesson 11- Supervised
Classification
FR 3262 Lab
Lesson 12-
Change Detection
FR
3262
Lab Lesson 11a-
Accuracy
Assessment