yatsm.mapping.classification module

Functions relevant for mapping categorical classification labels

yatsm.mapping.classification.get_classification(date, result_location, image_ds, after=False, before=False, qa=False, pred_proba=False, ndv=0, pattern='yatsm_r*', warn_on_empty=False)

Output raster with classification results

Parameters:

• date – ordinal date for prediction image
• result_location – Location of the results
• image_ds – Example dataset
• after – If date intersects a disturbed period, use next available time segment
• before – If date does not intersect a model, use previous non-disturbed time segment
• qa – Add QA flag specifying segment type (intersect, after, or before)
• pred_proba – Include additional band with classification value probabilities
• ndv – NoDataValue
• pattern – filename pattern of saved record results
• warn_on_empty – Log warning if result contained no result records (default: False)

Returns:

2D numpy array containing the classification map for the

date specified

Return type:

np.ndarray