Dear all, I wonder if anyone has ever developed or applied and IDL algorithm that will allow to extract from a time series of images slope, intercept, R-square and even associated probability of a pixel-to-pixel regression analysis, in order to evaluate the temporal trend of each pixel in that time series of images. Independent variable will be time and dependent variables will be the different values acquired for every pixel along time. Results (a, b, R2, p) would be provided in images. This method will help to locate local temporal trends of any spatial variable. Does anyone knows something useful for this purpose? Many thanks and best wishes for the next year Ricardo