I'm using QuickBird images in Antarctica to extract surface reflectance values. I'm running the images through FLAASH to obtain the surface reflectance values. I'm getting values that are off by a order of magnitude ( DN value -.022 to .159 in the pan band). In order to obtain these values I have to divide the image by 10'000 in band math. I believe that all my steps are correct when setting up the image in FLAASH: QuickBird Preprocessing to radiance, output image to floating points, etc. Also, I'm getting the images that are in 8-bit data ( DN value 0 to 255). I know some QuickBird images come in 11 bit, with the DN value ranging from 0-2048. I believe the 11 bit would solve the problem of being off by a order of magnitude in FLAASH, but I wanted to see if this was the problem of not. The problem could also be from the extreme location of Antarctica, the radiance values could be lower because all the radiance values might not reach the sensor. I played around with the other parameters in FLAASH and it doesn't play into being off by an order of magnitude that much in the final image.