Team: Andrea Claassen and Thomas Bales FR 5262, 12/13/2011 Instructor: Joe Knight

Goals of Study Target cloudy water river areas Inventory health analysis Urban areas Lower river Change detection over 5 years

Data and Methodology NAIP photography River shapefiles from MetGIS Target specific areas for the study Principal component analysis ISO classification over entire river area Break up river in study areas Unsupervised and supervised classifications Change detection

Data Limitations Year and environmental variables 2004 to 2009 resolution (2m to 1m per pixel) Ortho photo mosaic of study area Limited reference

Principal Component Analysis Pre test Isolate general classifications Determine water differences

General Unsupervised Classification Results Above the Falls Downtown Lower river

Target Areas North--Mississippi River in North Minneapolis South--Confluence of the Mississippi and Minnesota Rivers

Unsupervised Classifications clusters clusters

Thematic Recode (3 Clusters)

North Minneapolis Unsupervised classification using 10 clusters

North Minneapolis Unsupervised classification using thematic recode combing clusters into 3 groupings

Supervised Classification (Lower River)

Results--Change Detection North area—No net change in water clarity. South area (confluence)—Some changes in amount of sediments, locations different. Buffered South area—Change not very apparent. May be dependent on classification accuracy. Class% Change Non-river1.7 Clear Water-3.9 Medium Water-1.3 Silty Water3.8

Accuracy assessment Used same NAIP imagery for classification and reference data. Stratified random sampling method Overall accuracy 2004: 65.4% 2009: 66.0%

Conclusions Some decrease in water clarity in South section (confluence of Mississippi and Minnesota Rivers). Different pattern of sedimentation between years. Need to incorporate data on rainfall, agricultural runoff, etc. to better understand differences in sedimentation patterns between years.

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