I am doing land cover classification with an hyperspectral image of Santa Barbara, CA. The spatial resolution is 6.4 meters but I couldn't find any high spatial resolution land truth data for validation. Someone recommends me that I can generate random points in the classification map and see if those points are correctly classified by using Google Earth. However, I don't know how to do that.
Should I download image from Google Earth and put it into ArcGIS? Or should I put the randomly generated points and their classified types into Google Earth?