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WILD 5750/6750 LAB 6 – Oct 11 2010

WILD 5750/6750 LAB 6 – Oct 11 2010. PRINCIPAL COMPONENT ANALYSIS PCA & BRIGHTNESS– GREENNESS – WETNESS BGW. Assignment – Part A. Principal Component Analysis. Unzip the file PCA.zip to your working folder and work on the following items.

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WILD 5750/6750 LAB 6 – Oct 11 2010

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  1. WILD 5750/6750 LAB 6 – Oct 11 2010 PRINCIPAL COMPONENT ANALYSIS PCA & BRIGHTNESS– GREENNESS – WETNESS BGW

  2. Assignment – Part A Principal Component Analysis Unzip the file PCA.zip to your working folder and work on the following items • Brief description of PCA as a general statistical tool and its use for digital image processing – use your book, lecture materials, recommended readings and the Internet. • Review the document “Notes about PCA.pdf” and complete/answer the following points/questions: • 2. Perform the PCA analysis for the Rich county image. Create snapshots of the input file, the output file, and individual bands (multilayer view). • 3. Report the table for the Eigenvalues and the matrix of Eigenvectors • 4. Determine the amount (%) of information contained in each band using the • Eigenvalues (proportion of variance) • 5. Interpret each output band and discuss about the information contained in each PC (visual interpretation & factor loadings). Jensen, 2005 -

  3. Assignment – Part B Brightness - Greenness - Wetness Unzip the file BGW.zip to your working folder and work on the following items Review the document “Notes about BGW.pdf” and complete/answer the following points/questions: • We have 3 images for 3 different periods for the Camp Williams – Utah Lake area • (CWUL_Aug99.img, CWUL_Oct99.img, and CWUL_May00). Obtain BGW transformations • for each of these images. Use the document “Notes BGW.pdf” • Provide snapshots of the 3 results (BGW 08/1999, BGW 10/1999 and BGW 05/2000). • Please label appropriately for each temporal scenario. • By visually comparing the indices, what major changes do you see? i.e. brightness differences among temporal scenarios. • What do you think is the cause for such changes? - If any – • ----------------------------------------------------------------------------------------------------------------------------------- (1)

  4. Assignment – Part B Brightness - Greenness - Wetness • We also have as ancillary data an image (GAP-CWUL.img) which contains land cover • categories from the SWRGAP project. This image can be used to see the rationale of our 3 Greenness indices through time. • Briefly, how would you derive simple inferences? Hint! – Think about seasonal precipitation • and phenology patterns. • Choose three land cover categories (of your choice), and record 5 values for each land cover • category and for each temporal scenario (Greenness indices only). Prepare a table with these • values and 3 simple graphs and include them in your report. Does this help you for answering (4)? (2)

  5. Files needed for this lab: • Part A: PCA exercise: • Rich_cty.img • Factor_loading_calc.xls • Part B: BGW exercise: • CWUL_Aug99.img • CWUL_Oct99.img • CWUL_May00.img • GAP-CWUL.img Suggested readings… • Book: • Jensen – 2005 – Image enhancement – Vegetation transformation indices Chapter 8 • Papers: • Christ & Cicone – 1984 – A physically-based transformation of Thematic Mapper Data – The TM Tasseled Cap • Christ & Kauth – 1986 – The Tasseled Cap De-Mystified • Huang and others – 2002 - Derivation of a Tasseled Cap transformation based on Landsat 7 at-satellite reflectance Email your report doug.ramsey@usu.edu

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