Training and test datasets for togo region

[jlpearso]

Hello! I am very new to this package and was hoping you could clarify if I am understanding things correctly.

I am trying to get a training and test dataset for togo.

Training Data for Togo:

Using the code below I was able to get training data with the correct dimensions based on the demo.ipynb. However my understanding is that the dimensions of this data are [ number of corresponding rows in labels.geojson x (12 months * 18 bands)]. So 1290 rows of togo within the geojson file and 216 values for each band/time. However when I open the geojson file and search for togo datasets the list comes up short with only 1276 entries. Can you confirm if I am misunderstanding the setup?

Additionally does the is_crop column mean that for each row the location had crops for the entire year (12 months of regressor data available)?

Test Data for Togo:
Also going off the demo notebook, to get the test data I used this code.

Can I confirm that the values are pulled from 'data/test_features/togo-eval.h5'. with the same dimensions of test location, (12 months * 18 bands)?

I really appreciate any help!

[gabrieltseng]

Hi @jlpearso ,

1. When the benchmark datasets are created, training data is pulled from any point within the Togo bounding box. This function is responsible for filtering out the positive and negative labels, and filters by bounding box (specifically a Togo bounding box created by this function). So the togo dataset refers to a specific dataset (all datasets are described here), but other datasets may also contain points within Togo and they will be included too. In this case, the additional points come from the GeoWiki dataset.
2. is_crop means crop were present for a growing season captured in the year. It doesn't necessarily mean crops were being grown on that point for all 12 months.
3. Yes, the test data has the same dimensions as the training data. You can recover the band & time dimensions by running the functions with flatten_x=False.

I hope this helps!

[jlpearso]

Thank this helps a lot! Can you tell me the best way to call the function that gets the lat Lon box? Or must I look at the shape file myself? Was going to try to filer the labels this way. Thank you!

[gabrieltseng]

You can get the lat/lon box using the following code:

from cropharvest.countries import get_country_bbox

togo_bbox = get_country_bbox(country_name="Togo", largest_only=True)

togo_bbox is a list of bounding boxes (since some countries have more than one contiguous area). If largest_only is True, then the list has length 1 and only contains the largest bounding box.