Land Classification on the Kaibuskong River Subwatershed The Reduction of Blue Green Algae in Lake Nosbonsing Land Classification on the Kaibuskong River Subwatershed 6/1/2013 White Winter .gis

Outline Project Team Study Area Project Statement Overview Methodology Data Mosaic Unsupervised Classification Supervised Classification Statistical Analysis Cost Analysis Challenges Recommendations 6/1/2013 White Winter .gis

Client Project team Scott Higgins Janet Finlay Bennett White GIS Specialist Department of Drinking Water Source Protection Project team Janet Finlay Project Advisor B.Sc McMaster University Instructor at Niagara College Canada Bennett White Project Manager Hons. BA Wilfird Laurier University White Winter .gis 6/1/2013

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Problem Statement Project Objective Recent Blue Green Algae Events Lack of Information pertaining to land classes Lake Nosbonsing and Kaibuskong Subwatershed Project Objective Identification of Land Classes Comparable Analysis Compare NEW LAND data against OLD LAND CLASS 6/1/2013 White Winter .gis

Benefits Identification of land classes that have increased the abundance of phytoplankton in the watershed Nutrient rich vegetation Tangible items; Updated land classes of unclassified subwatershed Spatial Overlay Analysis Hard and soft copy maps Documentation 6/1/2013 White Winter .gis

Data Mosaic Unsupervised Supervised Spatial Overlay Analysis Methodology Data Mosaic Unsupervised Supervised Spatial Overlay Analysis 6/1/2013 White Winter .gis

Data QuickBird Imagery Forest Resource Inventory Data Multispectral Imagery 2cm resolution 271 Tiles 1 tile = 130mb Forest Resource Inventory Data Panchromatic Imagery Shape File Forest Type / Area Mgmt. Practices 6/1/2013 White Winter .gis

271 tiles 130mb per file Final Image 70GB Unsupervised Classification Mosaic Process 271 tiles 130mb per file Final Image 70GB 6/1/2013 White Winter .gis

Unsupervised Classification ISODATA PCA 6/1/2013 White Winter .gis

Unsupervised Classification 11 Classes were selected Algorithm splits and merges clusters ISODATA Algorithum Iterative Select Organizing Data Analysis Technique 6/1/2013 White Winter .gis

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Principal Component Analysis Creates a new set of uncorrelated variables Principle Components or eigenchannel Linear Combinations of the original bands Makes the image smooth and clean, without data lose Data reduction technique Compresses a number of bands into a few components Reduction in dimensionality of the data without a loss of information 6/1/2013 White Winter .gis

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Analysis of 11 Classes Unsupervised VS. PCA 6/1/2013 White Winter .gis

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Training Sites (AOIs) Spectral Signatures Supervised Training Sites (AOIs) Spectral Signatures 6/1/2013 White Winter .gis

Supervised Classification 6/1/2013 White Winter .gis

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Maximum Likelihood Input bands of data have a normal distribution -- Parametric Rule Input bands of data have a normal distribution Assumes that a pixel belongs to a particular class 6/1/2013 White Winter .gis

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Old vs New Land Class Data Overlay Analysis 6/1/2013 White Winter .gis

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Project management 6/1/2013 White Winter .gis

EVM (October 12 – June 14) End First Term End Second Term June 14 Planned Value Actual Value End First Term 8,060.00 End Second Term 25,494.74 June 14 48,174.00 End First Term 8,306.01 End Second Term 14,742.35 June 14 33,375.35 6/1/2013 White Winter .gis

Cost Analysis Baseline 1: December 14, 2012 Baseline 1: $55,393.05 Baseline 2: March 22, 2013 $45,409.14 Final Cost: June 10th, 2013 $ 38,038.84 Cost Savings of $17,354.21 Baseline 1: Data Acquisition, Proposal Baseline 2: Mosaic, Progress Report Baseline 3: Unsupervised & Supervised classification, Statistical Analysis White Winter .gis 6/1/2013

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Challenges Data & Storage Space Processing Speed 1tile= 130mb, Mosaic= 70GB Processing Speed Mosaic Raster to Polygon Tool in ArcGIS 6/1/2013 White Winter .gis

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= Recommendations Added Z-Values Obtain appropriate method to transfer data Niagara College Corporate DropBox Account Determine the compatibilities between = 6/1/2013 White Winter .gis

Acknowledgments North Bay Mattawa Conservation Authority Ministry of Natural Resources (MNR) Niagara College Canada Instructors IT Specialist (Colin Bissell) 6/1/2013 White Winter .gis

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Questions Thank you Bennett White bennett.white88@gmail.com http://whitewintergis.weebly.com 6/1/2013 White Winter .gis