Fix mistakes in example section for P2G Version 3.1 release

doc/source/examples/acspo_example.rst

@@ -18,7 +18,7 @@ Find the options available for creating ACSPO VIIRS SST GeoTIFFs:
 
 List the products that can be created from your ACSPO NetCDF dataset:
 
-    ``polar2grid.sh -r acspo -w geotiff --list-products -f <path_to_l1b_file>``
+    ``polar2grid.sh -r acspo -w geotiff --list-products -f <path_to_acspo_file>``
 
 To create the default product image, which is `sst` taken from
 the `sea_surface_temperature` array in the ACSPO file,
@@ -137,7 +137,7 @@ To add a color enhancement to this image, I use the *add_colormap.sh* utility
 script and a rainbow color table `p2g_sst_palette.txt` that is included as part of
 the Polar2Grid package.  This table is formatted as described in the
 :ref:`util_add_colormap` section. You can view the file
-`online <https://github.com/ssec/polar2grid/blob/main/etc/colormaps/p2g_sst_palette.txt>`_.
+`online <https://github.com/ssec/polar2grid/blob/main/polar2grid/etc/colormaps/p2g_sst_palette.txt>`_.
 
 This colormap will assign a color value to each of the 0-255 brightness range
 in the GeoTIFF image.  Again, the default brightness range is associated with a
@@ -165,7 +165,7 @@ full range of brightness values. In order to do this, I need to create a new
 rescaling `yaml` file that I will then provide to polar2grid.sh.
 
 I chose an enhancment name of `great_lakes_sst` and will use the same standard_name of
-`sea_surface_subskin_temperature` and then redefined the relationship between the brightness
+`sea_surface_subskin_temperature` and then redefine the relationship between the brightness
 values and the data.  I tighten the temperature range to be between 275.0 K and 305.0 K.  The contents of
 my new rescale yaml file is shown below (`my_rescale.yaml`).
 

doc/source/examples/asci_example.rst

@@ -57,7 +57,7 @@ data files, I would use this command:
 
 .. code-block:: bash
 
-    polar2grid.sh -r acspo -w geotiff -p AOD550 -f viirs/JRR-AOD_*j01_s20240605185*.nc
+    polar2grid.sh -r viirs_edr -w geotiff -p AOD550 -f viirs/JRR-AOD_*j01_s20240605185*.nc
 
 An aggregated GeoTIFF image will be created from the 7 granule input files with the data
 re-projected into the WGS84 (Platte Carrée) projection by default. The image scaling
@@ -173,7 +173,7 @@ is shown below, followed by the output image.
     --colorbar-title="Normalized Difference Vegetation Index (NDVI)" --add-coastlines \
     --coastlines-outline "black" --coastlines-level 1 \
     --coastlines-resolution=i --add-borders --borders-level 2 \
-    --borders-outline gray --coastlines-width 2 --colorbar-tick-marks 10 \
+    --borders-outline gray --coastlines-width 2 --colorbar-tick-marks 0.1 \
     --colorbar-height 150 --colorbar-text-size 100
 
 .. raw:: latex

doc/source/readers/viirs_edr.rst

@@ -21,12 +21,10 @@ Examples:
 
     polar2grid.sh -r viirs_edr -w geotiff -h
 
-    polar2grid.sh -r viirs_edr -w geotiff --list-products -f ../edr/*.h5
+    polar2grid.sh -r viirs_edr -w geotiff --list-products -f ../edr/*.nc
 
-    polar2grid.sh -r viirs_edr -w geotiff -p true_color_surf false_color_surf --num-workers 8 --no-tiled -f ../edr/*.h5
+    polar2grid.sh -r viirs_edr -w geotiff -p true_color_surf false_color_surf --num-workers 8 -f ../edr/edr/SurfRefl*.nc
 
+    polar2grid.sh -r viirs_edr -w hdf5 --add-geolocation --dtype float32 -p NDVI EVI --maximum-weight-mode -f SurfRefl*.nc
 
-Product Explanation
--------------------
-
-TODO
+    polar2grid.sh -r viirs_edr -w awips_tiled -p AOD550 CldTopHght CldTopTemp  -g lcc_conus_300 --sector-id LCC --letters --compress -f /viirs/JRR-AOD_v3r0_j01_s202406051854471_e202406051856116_c202406052204237.nc /viirs/JRR-CloudHeight_v3r0_j01_s202406051854471_e202406051856116_c202406052204237.nc