urbanlc.model.pipeline_transforms.LandsatTransformer

class urbanlc.model.pipeline_transforms.LandsatTransformer(means: List[float], stds: List[float], ndbi_indices: Optional[Dict[str, Any]] = None, ndvi_indices: Optional[Dict[str, Any]] = None, bui_indices: Optional[Dict[str, Any]] = None)

Input Preprocessor for Landsat data

Methods

calculate_statistics([root, filename_glob, ...])	Calculate mean and standard deviation statistics of the dataset.
transform(img, mask[, is_training, p_hflip, ...])	Apply transformations to the input Landsat image and land cover.