1 / 16

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.

zena
Download Presentation

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

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  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!

More Related