correct typos and add polygons

app/pages/1_🌍_Flood_extent_analysis.py

@@ -103,7 +103,7 @@ def app():
                 draw_options={
                     "circle": False,
                     "polyline": False,
-                    "polygon": False,
+                    "polygon": True,
                     "circle": False,
                     "marker": False,
                     "circlemarker": False,
@@ -113,20 +113,8 @@ def app():
             Geocoder(add_marker=False).add_to(Map)
             # Add minimap to map
             MiniMap().add_to(Map)
-            # Add file uploader for GeoJSON to add polygons to map
-            # data = st.file_uploader(
-            #     "Upload a GeoJSON file to use as an ROI.",
-            #     type=["geojson", "kml", "zip"],
-            # )
-            # ss = st.empty()
-            # with ss:
             # Export map to Streamlit
             output = st_folium(Map, width=800, height=600)
-            # if data is not None:
-            #     with ss:
-            #         # gj = geojson.load(data)
-            #         # coords = gj['features'][0]['geometry']['coordinates']
-            #         st.write('Still to be implemented')
     with col2:
         # Add collapsable container for image dates
         with st.expander("Choose Image Dates"):
@@ -246,8 +234,7 @@ def app():
                             """
                             No satellite image found for the selected
                             dates.\n\n
-                            Try changing the pass direction or the
-                            polarization.\n\n
+                            Try changing the pass direction.\n\n
                             If this does not work, choose different
                             dates: it is likely that the satellite did not
                             cover the area of interest in the range of

app/pages/2_📖_Documentation.py

@@ -140,7 +140,7 @@ st.markdown(
 )
 
 # Third section
-st.markdown("## Key limtations")
+st.markdown("## Key limitations")
 st.markdown(
     """
     Radar imagery is great for detecting floods, as it is good at picking up