Merge pull request #259 from NASA-Openscapes/tidy-matlab

remove old approach, noted by Cedric

in-development/matlab.qmd

@@ -310,105 +310,6 @@ This isn't included in the numbered prereq list above because it is a bit more i
 3.  Login with your MATLAB credentials
 4.  You are in!
 
-
-## 
-1.  Search NASA Earthdata and find the S3 link you want to access 
-
-2.  Set AWS Environment Variables - Go to the link above for the Access key, secret access key and token.
-
-3.  Copy and past those variables into the code below
-
-    `setenv('AWS_ACCESS_KEY_ID', 'REPLACE WITH PODAAC ACCESS KEY');`
-
-    `setenv('AWS_SECRET_ACCESS_KEY', 'REPLACE WITH PODAAC SECRET KEY');`
-
-    `setenv('AWS_SESSION_TOKEN',  'REPLACE WITH PODAAC SESSION TOKEN');`
-
-    `setenv('AWS_DEFAULT_REGION', 'us-west-2');`
-
-    NOTE: These expire ever 30 mins or so and this step needs to be done. We are searching for a better method.
-
-4.  In MATLAB on AWS only the HDF commands work
-
-    `FILE_NAME = 's3://podaac-ops-cumulus-protected/MODIS_A-JPL-L2P-v2019.0/20100619062008-JPL-L2P_GHRSST-SSTskin-MODIS_A-N-v02.0-fv01.0.nc';`
-
-    `file_id = H5F.open(FILE_NAME, 'H5F_ACC_RDONLY', 'H5P_DEFAULT');`
-
-5.  This code works to read the file - Copy each section into the MATLAB command\
-    NOTE: We need a way to find all variables in a given netcdf file. I used the python code to find variables and then brought it here.
-
-    `DATAFIELD_NAME='sea_surface_temperature_4um';`
-
-    `data_id = H5D.open(file_id, DATAFIELD_NAME);`
-
-    `data=H5D.read(data_id,'H5T_NATIVE_DOUBLE', 'H5S_ALL', 'H5S_ALL', 'H5P_DEFAULT');`
-
-    `% Read units.`
-
-    `ATTRIBUTE = 'units';`
-
-    `attr_id = H5A.open_name(data_id, ATTRIBUTE);`
-
-    `units = H5A.read(attr_id, 'H5ML_DEFAULT');`
-
-    `H5A.close(attr_id);`
-
-    `% Read long_name.`
-
-    `ATTRIBUTE = 'long_name';`
-
-    `attr_id = H5A.open_name (data_id, ATTRIBUTE);`
-
-    `long_name=H5A.read (attr_id, 'H5ML_DEFAULT');`
-
-    `H5A.close(attr_id);`
-
-    `% Read the fill value.`
-
-    `ATTRIBUTE = '_FillValue';`
-
-    `attr_id = H5A.open_name(data_id, ATTRIBUTE);`
-
-    `fillvalue=H5A.read(attr_id, 'H5T_NATIVE_DOUBLE');`
-
-    `H5A.close(attr_id);`
-
-    `% Read latitude data.`
-
-    `LAT_NAME='lat';`
-
-    `lat_id=H5D.open(file_id, LAT_NAME);`
-
-    `lat=H5D.read(lat_id, 'H5T_NATIVE_DOUBLE', 'H5S_ALL', 'H5S_ALL', 'H5P_DEFAULT');`
-
-    `% Read longitude data.`
-
-    `LON_NAME='lon';`
-
-    `lon_id=H5D.open(file_id, LON_NAME);`
-
-    `lon=H5D.read(lon_id, 'H5T_NATIVE_DOUBLE', 'H5S_ALL', 'H5S_ALL', 'H5P_DEFAULT');`
-
-    `% Close and release resources.`
-
-    `H5D.close(data_id);`
-
-    `H5D.close(lat_id);`
-
-    `H5D.close(lon_id);`
-
-    `H5F.close(file_id);`
-
-    `% Replace the fill value with NaN.`
-
-    `data(data==fillvalue) = NaN;`
-
-6.  Create an image
-
-    `contour(data);`
-
-    ![](images/Screen%20Shot%202022-05-30%20at%207.00.01%20PM.png)
-
 ### Shutdown your AWS Stack
 
 After each session you need to turn off the AWS Stack. If you forget this step and leave it running it is like keeping a computer on for the month. For the large instance it costs \$0.5/day so it's a few dollars a month.