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Multi-Sensor Land Cover Mapping Using GEOBIA and Exploring E. Coli Correlations

Cassie Tamblyn Gainesville State College Fall 2012. Multi-Sensor Land Cover Mapping Using GEOBIA and Exploring E. Coli Correlations. OBJECTIVE.

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Multi-Sensor Land Cover Mapping Using GEOBIA and Exploring E. Coli Correlations

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  1. Cassie Tamblyn Gainesville State College Fall 2012 Multi-Sensor Land CoverMapping Using GEOBIA and Exploring E. Coli Correlations

  2. OBJECTIVE • Use geographical object based image analysis (GEOBIA) to determine if there is a correlation between land cover classification and E. coli levels within the Flat Creek Watershed and its subwatersheds

  3. BACKGROUND • GEO-Object Based Image Analysis • Looks at images as groups of objects rather than pixels • More like how we see images • Can use many layers to delineate objects • Yields more accurate results (when applied properly) • E. Coli contamination • Easy way to measure fecal contamination • 100 cfu’s allowed during spring months for fishing waters

  4. DATA USED • 15 LiDAR tiles (1.5m posts), 2010 • 42 CIR tiles (0.1524m spatial resolution), 2010 • Flat Creek watershed boundary & subwatershedboundary shapefiles (created using ArcHydro) • E. Coli measurements during March & April 2012 (from Upper Chattahoochee Riverkeepers)

  5. SOFTWARE USED • ArcHydro • Delineate watershed • Quick Terrain Modeler • Create nDSM (DSM-DEM) • ERDAS Imagine • Mosaic imagery • eCognition Developer • Develop and process rule set • ArcMap • Develop Map Layout

  6. AREA OF INTEREST • Flat Creek Watershed (divided into 5 subwatersheds) • Total area = 20,000,000 m2 • Flat Creek starts in Gainesville and flows in a southwesterly direction to Lake Lanier • One of the most impacted streams of Georgia • Most of land within watershed is covered by impervious surfaces • Industrial district contains chicken processing plants and other factories • Some agricultural land

  7. AOI

  8. RULE SET

  9. POST PROCESSING RULE SET • After processing entire AOI on the server & merging the data again….

  10. RESULTS

  11. RESULTS for SUBWATERSHEDS

  12. CORRELATION?

  13. CORRELATION, cont.

  14. ANALYSIS • No correlation was found by this assay in this watershed • No manual editing was done which may improve accuracy which could in turn improve correlation • Point sources could be added to correlation factor

  15. Questions?Thank you!

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