Creating COG writing and validation docs

[omshinde]

This PR consists of documentations for-

1. Writing a (Cloud-Optimized GeoTIFF) COG output with Python
2. Validating the COG vs Non-COG

I have a few queries about the location for these documentations.

• The 1. notebook was initially planned for the Cloud-Optimized Geospatial Formats Guide. However, I realised that there is already a tutorial on Examples of working with COGs. So, 1. is re-written for MAAP ADE users. If we still plan to publish to the Guide, then I can create another copy for the guide based on this document.

• The 2. notebook is a detailed explanation of a brief COG-validation MAAP Documentation Example. We can remove it if is redundant. However, keeping this still acts as a good end-to-end tutorial for COG validation.

Reason for choosing ASTER_L1T dataset:

• Ongoing mission
• It has two OnlineHTTPAccessURLs and we don't have any example in MAAP Documentation for using one URL out of the two OnlineHTTPAccessURLs. So, it can act as a reference for such use-case.

cc: @wildintellect @smk0033

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[wildintellect]

@omshinde the Guide

• doesn't show how to properly make a COG using python code
• doesn't show how to validate the data inside the COG

I actually think using something with 2 urls make's it confusing, how to select between 2 urls should be it's own technical topic in the CMR/STAC usage section.

Most of what you wrote could be converted to a science tutorial about accessing ASTER-1

[omshinde]

Thank you @wildintellect ..
As suggested, I'll keep these notebooks for accessing ASTER-1 and prepare another for the guide. Do you have any recommendations on the data for the guide tutorial? Is this the one we discussed last time- NASA Shuttle Radar Topography Mission Global 1 arc second NetCDF V003 on NASA CMR.

[wildintellect]

Might as well use the updated dataset NASADEM https://search.earthdata.nasa.gov/search/granules?p=C1546314043-LPDAAC_ECS&pg[0][v]=f&pg[0][gsk]=-start_date&q=NASADEM&tl=1706908327.71!3!!

[smk0033]

My only comment is doing mixed case on the headers for both tutorials, like "Accessing the Dataset". Other than that, I think the formatting looks good!

Just a side note, but you can probably remove my name from the authors on both tutorials - I appreciate it, but definitely haven't contributed enough to these

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[smk0033]

One other note is this should be at least a ## header if not smaller (should definitely be smaller than the title). Sorry if it is smaller than the title, not sure if it's the way it's showing up on here or not

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