diff --git a/data/processing/projection.py b/data/processing/projection.py
index 650a395..1afabf6 100644
--- a/data/processing/projection.py
+++ b/data/processing/projection.py
@@ -60,6 +60,12 @@ x = np.arange(
 )
 theta = np.angle(D.dot((1, 1j)))
 
+log.info(f"N points: {bathy.size:e}")
+S = bathy[:, 0].ptp() * bathy[:, 1].ptp()
+log.info(f"Surface: {S*1e-6:.2f}km^2")
+res = np.sqrt(S / bathy.size)
+log.info(f"Resolution: {res:.2f}m")
+
 coords = artha + (x * np.stack((np.cos(theta), np.sin(theta)))).T
 
 log.info("Interpolating bathymetry in 1D")
diff --git a/data/processing/zero_cross.py b/data/processing/zero_cross.py
index e010b34..8e66ceb 100644
--- a/data/processing/zero_cross.py
+++ b/data/processing/zero_cross.py
@@ -78,6 +78,7 @@ dj = 0.5
 J = 1 / dj * np.log2(N * dt / s0)
 j = np.arange(0, J)
 sj = s0 * 2 ** (j * dj)
+Tj = 2 * sj * np.pi / 5
 # sj = s0 * np.arange(1, 2 ** (J * dj))
 Mw = sj / dt
 Mlims = sj[[0, -1]]
@@ -99,7 +100,7 @@ ax.set(zorder=1, frame_on=False)
 ax.semilogy()
 a = [t0[0], t0[-1], *Mlims]
 # c = ax.imshow(M, extent=a, aspect="auto", cmap="plasma", vmin=0)
-c = ax.contourf(t, sj, M, cmap="Greys", vmin=0, vmax=v)
+c = ax.contourf(t, Tj, M, cmap="Greys", vmin=0, vmax=v)
 fig.colorbar(c)
 
 H13 = np.quantile(wave, 2 / 3)
@@ -131,7 +132,7 @@ for w, ax2, ax in zip(bigw, ax_[::2].flatten(), ax_[1::2].flatten()):
     log.info(f"Wave [{w}] size: {ws:.2f}m")
     c = ax2.contourf(
         t[i0:i1],
-        sj,
+        Tj,
         M[:, i0:i1],
         cmap="Greys",
         vmin=0,