diff --git a/README.rst b/README.rst
index 77c31313..88fa5873 100644
--- a/README.rst
+++ b/README.rst
@@ -218,13 +218,15 @@ land cover types using ``cover_statistics``, and actual ET with ``ssebopeta_byge
     stats = gh.cover_statistics(lulc.cover)
     eta = gh.ssebopeta_bygeom(geometry, dates=("2005-10-01", "2005-10-05"))
 
-<img src="https://raw.githubusercontent.com/cheginit/pygeohydro/master/docs/_static/lulc.png"
-     alt="Land Use/Land Cover"
-     style="float: left; margin-right: 10px;"
-     width="200"/> <img src="https://raw.githubusercontent.com/cheginit/pygeohydro/master/docs/_static/eta.png"
-     alt="Actual ET"
-     style="float: left; margin-right: 10px;"
-     width="200"/>
+.. image:: https://raw.githubusercontent.com/cheginit/pygeohydro/master/docs/_static/lulc.png
+    :target: https://raw.githubusercontent.com/cheginit/pygeohydro/master/docs/_static/lulc.png
+    :width: 200
+    :height: 200
+
+.. image:: https://raw.githubusercontent.com/cheginit/pygeohydro/master/docs/_static/eta.png
+    :target: https://raw.githubusercontent.com/cheginit/pygeohydro/master/docs/_static/eta.png
+    :width: 200
+    :height: 200
 
 Additionally, we can all the US dams data using ``get_nid`` and ``get_nid_codes``: