image_doc module

image_doc.classify_inventory_cnn(earthquake_inventory_features, rainfall_inventory_features, test_inventory_features)

function to give probability of testing inventory belonging to earthquake and rainfall class

Parameters:

earthquake_inventory_features (array_like)

is landslide images of known earthquake inventories landslides

rainfall_inventory_features (array_like)

is landslide images of known rainfall inventories landslides

test_inventory_features (array_like)

is landslide images of known testing inventory landslides

Returns:

(array_like) probability of testing inventory landslides belonging to earthquake and rainfall class

image_doc.increase_resolution_polygon(data)

function to increase the data points between two neighbouring vertex of landslide polygon to get smooth images

Parameters:

data (array_like)

easting and northing coordinates data of landslide polygon

Returns:

(array_like) linear interpolated data of landslide polygon

image_doc.latlon_to_eastnorth(lonlat_polydata)

function to convert the (longitude latitude) coordinates of polygons to (easting, northing) coordinates

Parameters:

lonllat_polydata (array_like)

longitude and latitude coordinates data

Returns:

(array_like) easting and northing coordinates of landslide polygon data when polygon data has longitude latitude coordinates

image_doc.make_ls_images(poly_data)

function to convert landslide polygon to images

Parameters:

poly_data

readed landslide inventory shapefile

Returns:

(array_like) binary pixels values of landslide polygon Image

image_doc.plot_geometric_results(predict_proba)

function to visualize the trigger prediction of landslides in testing inventory

Parameters:

predict_proba (array_like)

probability of each landslide in inventory class belonging to earthquake and rainfall class.

Returns:

Visualization of landslide probabilities belong to earthquake and rainfall class and trigger prediction of entire landslide inventory

image_doc.read_shapefiles(path_filename)

function to read the shapefile from the local file path of landslide inventory

Parameters:

path_filename (str)

path to local inventory shapefiles

Returns:

read shapefile from file path

image_doc.train_augment(train_data, train_label)

This function is used to augment the training data by rotating image by 90, 180, 270 degree and flipping image horizontally and vertically

Parameters:

train_data (array_like)

training data

train_label (array_like)

training label

Returns:

augmented training data and labels