def _apply_band_math(dataset):
clear_mask = task.satellite.get_clean_mask_func()(dataset)
# mask out water manually. Necessary for frac. cover.
wofs = wofs_classify(dataset, clean_mask=clear_mask, mosaic=True)
clear_mask[wofs.wofs.values == 1] = False
return frac_coverage_classify(dataset,
clean_mask=clear_mask,
no_data=task.satellite.no_data_value)
def _apply_band_math(dataset):
clear_mask = create_cfmask_clean_mask(
dataset.cf_mask) if 'cf_mask' in dataset else create_bit_mask(
dataset.pixel_qa, [1, 2])
# mask out water manually. Necessary for frac. cover.
wofs = wofs_classify(dataset, clean_mask=clear_mask, mosaic=True)
clear_mask[wofs.wofs.values == 1] = False
return frac_coverage_classify(dataset, clean_mask=clear_mask)
def _apply_band_math(ds, idx):
# mask out water manually. Necessary for frac. cover.
wofs = wofs_classify(ds, clean_mask=clear_mask[idx], mosaic=True)
clear_mask[
idx] = False if wofs.wofs.values[0] == 1 else clear_mask[idx]
fractional_cover = frac_coverage_classify(
ds,
clean_mask=clear_mask[idx],
no_data=task.satellite.no_data_value)
return fractional_cover