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Unsupervised Classification of Higgins Beach and Vicinity
Remote Sensing (GEO 205)
Author: Stanley Max
Final Project
Using ERDAS Imagine 8.7 to Conduct an Unsupervised Classification of
Higgins Beach and Vicinity
Unsupervised Classification of Higgins Beach and Vicinity
Why Have I Chosen to Study This Area?
• Several types of land-cover:ResidentialWooded suburbanRiverMarshBeachOcean
• My parcel of land
Unsupervised Classification of Higgins Beach and Vicinity
• 6 digital orthophoto quarter quadrangles (DOQQs) from Maine Office of GIS
• Mosaicked with ERDAS Imagine 8.7• Unsupervised classification
13 classes with 13 iterations; 98% convergence
Completed all 13 iterations; 95.6% convergence
Unsupervised Classification of Higgins Beach and Vicinity
• Classified image• Composed as a map• Saved as a TIFF• Converted to a JPEG• Exported into PowerPoint
• Poor color fidelity• Looks too blue• Actual classified image
resembles the original closely
Unsupervised Classification of Higgins Beach and Vicinity
The following pie chart depicts all the classifications I
obtained using ERDAS:
Unsupervised Classification of Higgins Beach and Vicinity
TreesShallow water; TreesDeep waterWater with sedimentGrass; Wet sandDry sandPavement; SandSand-soil combination
Class nameSand-soil combination2.5%
Pavement; Sand7.3%
Dry sand10.1%
Grass; Wet sand33.5% Water with sediment
15.5%
Deep water18.3%
Shallow water; Trees9.2%
Trees3.7%
Proportion of Territory Filled by Each Land-Cover Type
Total area = 600.210 ha
Unsupervised Classification of Higgins Beach and Vicinity
TreesShallow water; TreesDeep waterWater with sedimentGrass; Wet sandDry sandPavement; SandSand-soil combination
Class nameSand-soil combination2.5%
Pavement; Sand7.3%
Dry sand10.1%
Grass; Wet sand33.5% Water with sediment
15.5%
Deep water18.3%
Shallow water; Trees9.2%
Trees3.7%
Proportion of Territory Filled by Each Land-Cover Type
Total area = 600.210 ha
We can see that grass, sand, and
water predominate — which makes
sense.
Unsupervised Classification of Higgins Beach and Vicinity
Let us examine the pie chart depicting the supervised classifications I obtained
Unsupervised Classification of Higgins Beach and Vicinity
Deep waterShallow waterMarshPavementGrassRoofDry sandWet sand
Class nameWet sand1.9%Dry sand
1.3%
Roof42.7%
Grass16.1%
Pavement3.0%
Marsh13.0%
Shallow water4.0%
Deep water17.9%
Supervised ClassificationProportion of Territory Filled by Each Land-Cover Type
Total area = 600.210 ha
Unsupervised Classification of Higgins Beach and Vicinity
Deep waterShallow waterMarshPavementGrassRoofDry sandWet sand
Class nameWet sand1.9%Dry sand
1.3%
Roof42.7%
Grass16.1%
Pavement3.0%
Marsh13.0%
Shallow water4.0%
Deep water17.9%
Supervised ClassificationProportion of Territory Filled by Each Land-Cover Type
Total area = 600.210 ha
• Roof classification predominates!
• Marsh appears as a separate class.
Unsupervised Classification of Higgins Beach and Vicinity
What Issues Have We Encountered in the Study?
• Excellent resolution of DOQQs (approximately 15 cm) makes classification analysis difficult
• Need non-visible bands• Tremendous computer power needed• Very slow to run• Even negative results have value
Unsupervised Classification of Higgins Beach and Vicinity
Angus the dog lying on the back porch. The photograph looks East by Southeast. In the immediate background the marsh is visible. Just behind
lies the Spurwink River, with Cape Elizabeth in the distance on the left.