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

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

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

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

Goals of Study

Target cloudy water river areasInventory health analysis

Urban areasLower river

Change detection over 5 years

Data and MethodologyNAIP photographyRiver shapefiles from MetGISTarget specific areas for the study

Principal component analysisISO classification over entire river areaBreak up river in study areasUnsupervised and supervised

classificationsChange detection

Data LimitationsYear and environmental variables2004 to 2009 resolution (2m to 1m per pixel)Ortho photo mosaic of study areaLimited reference

Principal Component Analysis Pre test Isolate

general classifications

Determine water differences

General Unsupervised Classification

Results Above the

Falls Downtown Lower river

Target AreasNorth--Mississippi River

in North Minneapolis

South--Confluence of the Mississippi and Minnesota Rivers

Unsupervised Classifications200910 clusters

200410 clusters

Thematic Recode (3 Clusters)20092004

North Minneapolis

Unsupervised classification using 10 clusters

2004 2009

North Minneapolis

Unsupervised classification using thematic recode combing clusters into 3 groupings.

2004 2009

2004 2009

Supervised Classification (Lower River)

Results--Change DetectionNorth 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-river 1.7

Clear Water -3.9

Medium Water -1.3

Silty Water 3.8

Accuracy assessmentUsed same NAIP imagery for classification

and reference data.Stratified random sampling methodOverall accuracy

2004: 65.4%2009: 66.0%

ConclusionsSome 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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