Source code for flusstools.lidartools.laspy_main

"""Main script for las file processing. Use as:

``process_file(source_file_name, epsg, **opts)`` (more about arguments in the function doc below)

from .laspy_processor import *
import webbrowser

[docs]def lookup_epsg(file_name): """Starts a google search to retrieve information from a file name (or other ``str``) with information such as *UTM32*. Args: file_name (str): file name or other string with words separated by "-" or "_" Notes: * This function opens a google search in the default web browser. * More information about projections, spatial reference systems, and coordinate systems can be obtained with the `geo_utils <>`_ package. """ search_string = file_name.replace( "_", "+").replace(".", "+").replace("-", "+") google_qry = "" + search_string)
@cache def process_file(source_file_name, epsg, **opts): """Loads a las-file and convert it to another geospatial file format (keyword arguments ``**opts``). Args: source_file_name (str): Full directory of the source file to use with methods * if method="las2*" > provide a las-file name * if method="shp2*" > provide a shapefile name epsg (int): Authority code to use (try ``hylas.lookup_epsg(las_file_name)`` to look up the epsg online). Keyword Args: create_dem (bool): default: False - set to True for creating a digital elevation model (DEM) extract_attributes (str): Attributes to extract from the las-file available in pattr ( methods(`list` [`str`]): Enabled list strings are las2shp, las2tif, shp2tif, las2dem overwrite (bool): Overwrite existing shapefiles and/or GeoTIFFs (default: ``True``). pixel_size (float): Use with *2tif to set the size of pixels relative to base units (pixel_size=5 > 5-m pixels) shapefile_name (str): Name of the point shapefile to produce with las2* tif_prefix (str): Prefix include folder path to use for GeoTiFFs (defined extract_attributes are appended to file name) interpolate_gap_pixels (bool): Fill empty pixels that are not touched by a shapefile point with interpolated values (default: ``True``) radius1 (float): Define the x-radius for interpolating pixels (default: ``-1``, corresponding to infinity). Only applicable ``with interpolate_gap_pixels``. radius2 (float): Define the y-radius for interpolating pixels (default: ``-1``, corresponding to infinity). Only applicable ``with interpolate_gap_pixels``. power (float): Power of the function for interpolating pixel values (default: ``1.0``, corresponding to linear). smoothing (float): Smoothing parameter for interpolating pixel values (default: ``0.0``). min_points (int): Minimum number of points to use for interpolation. If the interpolator cannot find at least ``min_points`` for a pixel, it assigns a ``no_data`` value to that pixel (default: ``0``). max_points (int): Maximum number of points to use for interpolation. The interpolator will not use more than ``max_points`` closest points to interpolate a pixel value (default: ``0``). Returns: bool: ``True`` if successful, ``False`` otherwise """ default_keys = { "extract_attributes": "aci", "interpolate_gap_pixels": True, "methods": ["las2shp"], "shapefile_name": os.path.abspath("") + "/{0}.shp".format(source_file_name.split(".")[0]), "tif_prefix": os.path.abspath("") + "/{0}_".format(source_file_name.split(".")[0]), "overwrite": True, "create_dem": False, "pixel_size": 1.0, "radius1": -1, "radius2": -1, "power": 1.0, "smoothing": 0.0, "min_points": 0, "max_points": 0, } for k in default_keys.keys(): if opts.get(k): default_keys[k] = opts.get(k) las_object = LasPoint(las_file_name=source_file_name, epsg=epsg, use_attributes=default_keys["extract_attributes"], overwrite=default_keys["overwrite"]) if "las2shp" in default_keys["methods"] or not os.path.isfile(default_keys["shapefile_name"]):" * Need to create a point shapefile first (%s does not exist) ..." % default_keys["shapefile_name"]) las_object.export2shp(shapefile_name=default_keys["shapefile_name"]) if "las2dem" in "".join(default_keys["methods"]):" * Generating DEM from %s." % default_keys["shapefile_name"]) las_object.create_dem(target_file_name=default_keys["tif_prefix"] + "_dem.tif", src_shp_file_name=default_keys["shapefile_name"], pixel_size=default_keys["pixel_size"], interpolate_gap_pixels=default_keys["interpolate_gap_pixels"], power=default_keys["power"], radius1=default_keys["radius1"], radius2=default_keys["radius2"], smoothing=default_keys["smoothing"], min_points=default_keys["min_points"], max_points=default_keys["max_points"] ) if "2tif" in "".join(default_keys["methods"]):" * Creating GeoTIFFs ...") for attr in default_keys["extract_attributes"]: tif_name = "{0}{1}.tif".format( default_keys["tif_prefix"], wattr[attr])" -- Creating %s ..." % tif_name) geo_utils.rasterize(in_shp_file_name=default_keys["shapefile_name"], out_raster_file_name=tif_name, interpolate_gap_pixels=False, pixel_size=default_keys["pixel_size"], field_name=wattr[attr], overwrite=default_keys["overwrite"])" -- Done.") return True