for image in rasters:
    print(image)
    name, ext = os.path.splitext(image)

    if ext == '.hdr':

        img = sp.open_image(ssrc_directory + image)
        print(image)
        im_HS = img[:,:,0]

        cols = im_HS.shape[0]  # Number of column
        rows = im_HS.shape[1]   # Number of lines
        bands = im_HS.shape[2]  # Number of bands

        names = []

 ##mask NDVI
        names.append('maskNDVI')
        for i in range(0,cols):
            for j in range(0,rows):
                if im_HS[i,j] >= 0.6 :
                    im_HS[i,j] = np.min(im_HS)

img = sp.open_image(ssrc_directory + image)
        print(image)
        im_HS = img[:,:,:]

        cols = im_HS.shape[0]  # Number of column
        rows = im_HS.shape[1]   # Number of lines
        bands = im_HS.shape[2]  # Number of bands

        names = []

 ##mask NDVI
        names.append('mask')
        for h in range(0,bands):
            for i in range(0,cols):
                for j in range(0,rows):
                    if im_HS[i,j,0] >= 0.6 :
                        im_HS[i,j,h] = np.min(im_HS)