diff --git a/flopy/plot/crosssection.py b/flopy/plot/crosssection.py
index e50ad5ed8..5ae25e518 100644
--- a/flopy/plot/crosssection.py
+++ b/flopy/plot/crosssection.py
@@ -51,6 +51,13 @@ class PlotCrossSection:
         minimum width of a grid cell polygon to be plotted. Cells with a
         cross-sectional width less than min_segment_length will be ignored
         and not included in the plot. Default is 1e-02.
+    view : str
+        view can be used to force the view of the cross section when a line is provided.
+        "auto" is default and mimics the long term behavior of flopy, which decides
+        on the view by taking the maximum of the x and y direction of the cross
+        sectional line. "x" forces the view to be plotted from the x direction
+        (bottom of the unrotated grid). and "y" forces the view to be plotted from the
+        y-direction "left" or "right" side of the unrotated grid.
     """
 
     def __init__(
@@ -62,7 +69,9 @@ def __init__(
         extent=None,
         geographic_coords=False,
         min_segment_length=1e-02,
+        view="auto",
     ):
+        view = view.lower()
         self.ax = ax
         self.geographic_coords = geographic_coords
         self.model = model
@@ -159,7 +168,10 @@ def __init__(
                 yp.append(v2)
 
             xp, yp = self.mg.get_local_coords(xp, yp)
-            if np.max(xp) - np.min(xp) > np.max(yp) - np.min(yp):
+            if (np.max(xp) - np.min(xp) > np.max(yp) - np.min(yp)) or view not in (
+                "auto",
+                "y",
+            ):
                 # this is x-projection and we should buffer x by small amount
                 idx0 = np.argmax(xp)
                 idx1 = np.argmin(xp)
diff --git a/flopy/plot/plotutil.py b/flopy/plot/plotutil.py
index f79b13321..23f6d00f3 100644
--- a/flopy/plot/plotutil.py
+++ b/flopy/plot/plotutil.py
@@ -1685,6 +1685,15 @@ def line_intersect_grid(ptsin, xgrid, ygrid):
                     if t:
                         vdict[cell] = t
 
+        # check if line vertex 0 or -1 should be included in the crosssection
+        ptschk = [ptsin[0], ptsin[-1]]
+        for cell, vrts in vdict.items():
+            if len(vrts) == 1:
+                for pt in ptschk:
+                    if np.min(xgrid[cell]) < pt[0] < np.max(xgrid[cell]):
+                        if np.min(ygrid[cell]) < pt[1] < np.max(ygrid[cell]):
+                            vdict[cell] = [vrts[0], tuple(pt)]
+
         return vdict
 
     @staticmethod
diff --git a/flopy/utils/rasters.py b/flopy/utils/rasters.py
index c2c72a596..10489e308 100644
--- a/flopy/utils/rasters.py
+++ b/flopy/utils/rasters.py
@@ -81,7 +81,10 @@ def __init__(
         elif array.dtype in Raster.FLOAT64:
             dtype = "float64"
         elif array.dtype in Raster.INT8:
-            dtype = "int8"
+            if np.max(array) > 127:
+                dtype = "uint8"
+            else:
+                dtype = "int8"
         elif array.dtype in Raster.INT16:
             dtype = "int16"
         elif array.dtype in Raster.INT32:
@@ -996,6 +999,7 @@ def plot(self, ax=None, contour=False, **kwargs):
         import_optional_dependency("rasterio")
         from rasterio.plot import show
 
+        band = kwargs.pop("band", None)
         # rasterio >= 1.5 defaults to adjusting data to [0, 1], which
         # can clash with user-supplied vmin/vmax. don't adjust unless
         # the caller explicitly asks for it
@@ -1013,11 +1017,15 @@ def plot(self, ax=None, contour=False, **kwargs):
             if d1 is None:
                 raise AssertionError("No plottable arrays found")
 
-            data = np.zeros((d0, d1, d2), dtype=float)
-            i = 0
-            for _, arr in sorted(self.__arr_dict.items()):
-                data[i, :, :] = arr
-                i += 1
+            if band is not None:
+                data = np.zeros((1, d1, d2), dtype=float)
+                data[0] = self.__arr_dict[band]
+            else:
+                data = np.zeros((d0, d1, d2), dtype=float)
+                i = 0
+                for _, arr in sorted(self.__arr_dict.items()):
+                    data[i, :, :] = arr
+                    i += 1
 
             data = np.ma.masked_where(data == self.nodatavals, data)
             ax = show(