geografif

# =====================================================
# define U-Net model architecture

def build_unet(img_shape):
    # input layer shape is equal to patch image size
    inputs = Input(shape=img_shape)

    # rescale images from (0, 255) to (0, 1)
    rescale = Rescaling(scale=1. / 255, input_shape=(img_height, img_width, img_channels))(inputs)
    previous_block_activation = rescale  # Set aside residual

geografif

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# title         : Perform a Mann-Kendall trend test of satellite image time series
# purpose       : Mann-Kendall test of monotonic trend and associated statistical significance
# author        : Abdulhakim Abdi (@HakimAbdi)
# input         : Raster stack/brick comprising a time series of observations
# output        : Raster object of monotoic trend (Kendall's tau), significance or both (i.e. brick) 
# data          : Test data: https://www.dropbox.com/sh/bz0fxvtm27mf4w8/AADE8kOPKnx1c84QxJDSAoyAa?dl=0
# notes         : Depending on the time series, it is might be useful prewhiten the data to remove serial correlation 
#               : prior to extracting the trend. See blog post on www.hakimabdi.com for more information. 
#############################################################################################