def mod_ndwi_learned(domain, b):
    if domain.unflooded_domain == None:
        print "No unflooded training domain provided."
        return None
    unflooded_b = modis_utilities.compute_modis_indices(domain.unflooded_domain)
    water_mask = modis_utilities.get_permanent_water_mask()
    threshold = modis_utilities.compute_binary_threshold(get_mod_ndwi(unflooded_b), water_mask, domain.bounds)
    return mod_ndwi(domain, b, threshold)
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def mod_ndwi_learned(domain, b):
    if domain.unflooded_domain == None:
        print 'No unflooded training domain provided.'
        return None
    unflooded_b = modis_utilities.compute_modis_indices(domain.unflooded_domain)
    water_mask  = modis_utilities.get_permanent_water_mask()
    threshold   = modis_utilities.compute_binary_threshold(get_mod_ndwi(unflooded_b), water_mask, domain.bounds)
    return mod_ndwi(domain, b, threshold)
def dart_learned(domain, b):
    """The dartmouth method but with threshold calculation included (training image required)"""
    if domain.unflooded_domain == None:
        print "No unflooded training domain provided."
        return None
    unflooded_b = modis_utilities.compute_modis_indices(domain.unflooded_domain)
    water_mask = modis_utilities.get_permanent_water_mask()
    threshold = modis_utilities.compute_binary_threshold(get_dartmouth(unflooded_b), water_mask, domain.bounds)
    return dartmouth(domain, b, threshold)
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def dart_learned(domain, b):
    '''The dartmouth method but with threshold calculation included (training image required)'''
    if domain.unflooded_domain == None:
        print 'No unflooded training domain provided.'
        return None
    unflooded_b = modis_utilities.compute_modis_indices(domain.unflooded_domain)
    water_mask  = modis_utilities.get_permanent_water_mask()
    threshold   = modis_utilities.compute_binary_threshold(get_dartmouth(unflooded_b), water_mask, domain.bounds)
    return dartmouth(domain, b, threshold)
def diff_learned(domain, b):
    '''modis_diff but with the threshold calculation included (training image required)'''
    if domain.unflooded_domain == None:
        print 'No unflooded training domain provided.'
        return None
    unflooded_b = modis_utilities.compute_modis_indices(domain.unflooded_domain)
    water_mask  = modis_utilities.get_permanent_water_mask()
    
    threshold = modis_utilities.compute_binary_threshold(get_diff(unflooded_b), water_mask, domain.bounds)
    return modis_diff(domain, b, threshold)