Draw the topography of the region of interest

        Args:
            save (Optional[bool]): Weither or not to save the image.
                Defaults to False.
            name (Optional[str]): Absolut path to save the resulting
                image. Default to 'BaseLola.png' in the working
                directory.

        Returns:
            An image correponding to the region tography. Realized
            from the data taken by the LOLA instrument on board of LRO.

        Note:
            Nice to use in a jupyter notebook with ``%matplotib inline``
            activated.

            Feel free to modify this method to plot exactly what you need.

def lola_image(self, save=False, name='BaseLola.png'):
        ''' Draw the topography of the region of interest

        Args:
            save (Optional[bool]): Weither or not to save the image.
                Defaults to False.
            name (Optional[str]): Absolut path to save the resulting
                image. Default to 'BaseLola.png' in the working
                directory.

        Returns:
            An image correponding to the region tography. Realized
            from the data taken by the LOLA instrument on board of LRO.

        Note:
            Nice to use in a jupyter notebook with ``%matplotib inline``
            activated.

            Feel free to modify this method to plot exactly what you need.

        '''

        fig = plt.figure(figsize=(10, 8))
        ax1 = fig.add_subplot(111)

        lon_m, lon_M, lat_m, lat_M = self.lambert_window(
            self.size_window, self.lat0, self.lon0)
        m = Basemap(llcrnrlon=lon_m, llcrnrlat=lat_m, urcrnrlon=lon_M, urcrnrlat=lat_M,
                    resolution='i', projection='laea', rsphere=1734400, lat_0=self.lat0, lon_0=self.lon0)

        Xl, Yl, Zl = self.get_arrays('Lola')
        Xl, Yl = m(Xl, Yl)

        CS = m.pcolormesh(Xl, Yl, Zl, cmap='gist_earth',
                          alpha=.5, ax=ax1, zorder=1)
        # m.contour(Xl,Yl,Zl,20, colors = 'black', alpha = 1.0 , zorder=2)

        xc, yc = m(self.lon0, self.lat0)
        ax1.scatter(xc, yc, s=200, marker='v', zorder=2)

        self._add_scale(m, ax1)
        self._add_colorbar(m, CS, ax1, 'Topography')

        if save == True:
            fig.savefig(name, rasterized=True, dpi=50,
                        bbox_inches='tight', pad_inches=0.1)