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Remote Sensing (GEO 205)

Remote Sensing (GEO 205). Final Project. Using ERDAS Imagine 8.7 to Conduct an Unsupervised Classification of Higgins Beach and Vicinity. Author: Stanley Max. Why Have I Chosen to Study This Area?. Several types of land-cover: Residential Wooded suburban River Marsh Beach Ocean

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Remote Sensing (GEO 205)

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  1. Remote Sensing (GEO 205) Final Project Using ERDAS Imagine 8.7 to Conduct an Unsupervised Classification ofHiggins Beach and Vicinity Author: Stanley Max

  2. Why Have I Chosen to Study This Area? • Several types of land-cover: • Residential • Wooded suburban • River • Marsh • Beach • Ocean • My parcel of land

  3. 6 km2 = 600 ha • My parcel shown in red

  4. 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

  5. Let us view the classified image.

  6. 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

  7. The following pie chart depicts all the classifications I obtained using ERDAS:

  8. We can see that grass, sand, and water predominate — which makes sense.

  9. I also ran a supervised classification.

  10. Let us examine the pie chart depicting the supervised classifications I obtained

  11. Roof classification predominates! • Marsh appears as a separate class.

  12. 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

  13. 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.

  14. HappyHolidays

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