Example #1
0
def CALIOP_track_on_SLSTR(SLSTR_pathname,
                          CALIOP_pathname,
                          SLSTR_brightness=0.2):
    """
    Produce false colour image for SLSTR file superimposed with CALIOP track.

    Parameters
    ----------
    Sreference: str or satpy Scene object
        SLSTR file to produce an image of.
        Either scene object or path to SLSTR files

    Plot: bool
        If True, plot false colour image
        Default is True
    """
    # SLSTR
    rgb, TitleStr = FalseColour(SLSTR_pathname,
                                plot=False,
                                brightness=SLSTR_brightness)

    plt.figure('CALIOP track on SLSTR scene')
    plt.xlabel('km')
    plt.ylabel('km')
    plt.xticks(np.arange(0, 3000, 100), np.arange(0, 1500, 50))
    plt.yticks(np.arange(0, 2400, 100), np.arange(0, 1200, 50))
    plt.imshow(rgb)

    Stime = TitleStr.split('\n')[-1]
    Stime = datetime.strptime(Stime, '%Y%m%dT%H%M%S')
    coords = c.collocate(SLSTR_pathname, CALIOP_pathname)

    Srows = np.array([i[0] for i in coords])
    Scols = np.array([i[1] for i in coords])
    Cinds = [i[2] for i in coords]

    with DL.SDopener(CALIOP_pathname) as file:
        flags = DL.load_data(file, 'Feature_Classification_Flags')[Cinds, 0]
        Ctime = DL.load_data(file, 'Profile_Time')[Cinds, 0]

    Ctime += 725846390
    Ctime1 = datetime.utcfromtimestamp(Ctime[0])
    diff1 = Stime - Ctime1
    if diff1.days == -1:
        diff1 = Ctime1 - Stime
    diff1 = diff1.seconds

    Ctime2 = datetime.utcfromtimestamp(Ctime[-1])
    diff2 = Stime - Ctime2
    if diff2.days == -1:
        diff2 = Ctime2 - Stime
    diff2 = diff2.seconds

    mindiff = min(diff1, diff2)
    maxdiff = max(diff1, diff2) + 180

    TitleStr += '\nTime Difference: %s - %s seconds' % (mindiff, maxdiff)
    plt.title('False colour image with CALIPSO track\n' + TitleStr)

    CTruth = DL.vfm_feature_flags(flags)
    mask = CTruth == 2

    plt.scatter(Scols[mask], Srows[mask], c='lightgreen', alpha=0.2)
    plt.scatter(Scols[~mask], Srows[~mask], c='lightpink', alpha=0.2)

    plt.show()
Example #2
0
File: Word.py Project: zbs/WSD
 def get_collocation_reference_vector(self):
     if not self.collocation_reference_vector:
             self.collocation_reference_vector = \
                 Collocation.get_reference(self.contexts)
     return self.collocation_reference_vector
Example #3
0
File: features.py Project: zbs/WSD
def collocations(word, context):
    return Collocation.get_vector(context, word)