1 / 14

Walker Wieland GEOG 342

Exploring Unsupervised Classification and Interactive Supervised Classification in Order to Characterize Impervious Cover. Walker Wieland GEOG 342. Outline. Introduction Isocluster Unsupervised Interactive Supervised Raster Analysis Conclusions. Introduction.

fallon
Download Presentation

Walker Wieland GEOG 342

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. Exploring Unsupervised Classification and Interactive Supervised Classification in Order to Characterize Impervious Cover Walker Wieland GEOG 342

  2. Outline • Introduction • Isocluster Unsupervised • Interactive Supervised • Raster Analysis • Conclusions

  3. Introduction • GIS work, watershed analysis • Characterize amounts of impervious cover (IC) at spatial extents • Impervious surface coefficients are used along with land use categories • Example: residential: 44% impervious cover, open space 2% impervious cover, heavy industry: 91% impervious cover

  4. Introduction • Use land use layer in GIS and impervious cover coefficients to calculate IC • Check for non-conforming land uses at 100-foot buffer

  5. Introduction-data acquisition

  6. Isocluster Unsupervised Classification 2 classes Original image

  7. Isocluster Unsupervised Classification 3 classes

  8. Isocluster Unsupervised Classification 4 classes

  9. Interactive supervised: training samples

  10. Interactive supervised

  11. Analysis • Converted raster to polygon features • Created field in new feature class, calculated geometry in square feet • Pervious: 10,823,961 • Impervious: 4,029,042 • Spatial analyst tool: Zonal geometry as table • Pervious: 10,830,614 • Impervious: 4,030,196

  12. Checked conversion tool • Option to ‘simplify polygons’ • If unchecked (not default), process takes longer, but more accurate • “unsimplify” output • Pervious: 10,825,112 • Impervious: 4,028,149

  13. Conclusions • With polygons unsimplified, pervious land was closer to the zonal statistics output, while impervious land was further away • Don’t know enough about what could cause error in zonal statistics • Used unsimplified output for percentage calculation • Results: polygon area is 27% impervious • ISC method: polygon area is 32% impervious • Close to one another, would like to try different spatial extents, more knowledge of zonal statistics

  14. Questions?

More Related