Define tiles for the training dataset

[HamedAlemo]

Divide the training dataset AOI (from here) to tiles of 224 x 224 pixels (at 30m spatial resolution).
The outcome can be a GeoJSON which stores all of these tiles, or any other compatible data format.
We will use the bounding boxes of these tiles to chip the CDL dataset and query HLS scenes.

[HamedAlemo]

We need to also define a naming convention for the tiles. Each tile will have a unique ID that we can refer to when selecting HLS data and the CDL data.

[mcecil]

• Decide which chips to include in training data to have balanced crop distribution
• Determine crop calendar based on final training data set, and determine months to query HLS