I have done rediometric correction, TOA which was used for a tasselled cap transformation on Landsat images with 30m resolution. Now i want to use regression modelling to relate the tasselled values (greeness, wetness and brightness) to impervious surface values from digitized high resolution images. i am using this approach to quantify imperviousness in an urban area, but i am stack at how to apply the regression model (in Arcmap 10.1) to achieve this. I will be grateful for your suggestions
http://wiki.landscapetoolbox.org/doku.php/remote_sensing_methods:tasseled-cap_transformation
http://desktop.arcgis.com/en/arcmap/10.3/manage-data/raster-and-images/tasseled-cap-transformation.htm
http://web.pdx.edu/~jduh/courses/Archive/geog481w07/Students/Marcello_TasselledCap.pdf
http://gis.stackexchange.com/questions/156161/tasseled-cap-transformation-coefficient-and-bias-value
Firoz, the tasselled cap transformation has already been done what i need is how to relate its values to values obtained from digitized highresolution images of selected locations within the same site in a regression model. Thanks anyway
Dear J.,
You can import the tif format TC brightness, greenness and wetness (if not in tif, you can convert them into tif) into ArcGIS, and then, add the excel file which you have geographical and other thematic information of your points, to convert it into a point shapefile. You go to Spatial Analyst Tools, seleting Extraction, clicking on Extract Values to Points. After running, you will get a shapefile whose table contains both TC indicator and your digitized values (in dbf). You can open this dbf file with Excel and input it to SPSS or SYSTAT or SAS, etc., for regression analysis.
Hope this helps, and good try,
Best regards,
Weicheng
Thanks for the contribution. i tried to convert to points by first covertingvto polygon but receives an 000863 error message; Invalid GP data type, somthing to do with converting from a floating file type to non.floating, yet to sort that out. Will keep you posted. Joel
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