xdem.dDEM

class xdem.dDEM(raster, start_time, end_time, error=None)

A difference-DEM object.

__init__(raster, start_time, end_time, error=None)

Create a dDEM object from a Raster.

Parameters:

• raster (Raster) – A georeferenced Raster object.

• start_time (datetime64) – The starting time of the dDEM.

• end_time (datetime64) – The end time of the dDEM.

• error (Any | None) – An error measure for the dDEM (UNUSED).

Returns:

A new dDEM instance.

Methods

__init__(raster, start_time, end_time[, error])	Create a dDEM object from a Raster.
astype(dtype[, convert_nodata, inplace])	Convert data type of the raster.
coords([grid, shift_area_or_point, force_offset])	Get coordinates (x,y) of all pixels in the raster.
copy([new_array])	Return a copy of the DEM.
crop(crop_geom[, mode, inplace])	Crop the raster to a given extent.
from_array(data, transform, crs, start_time, ...)	Create a new dDEM object from an array.
from_pointcloud_regular(pointcloud[, ...])	Create a raster from a point cloud with coordinates on a regular grid.
from_xarray(ds[, dtype])	Create raster from a xarray.DataArray.
georeferenced_grid_equal(raster)	Check that raster shape, geotransform and CRS are equal.
get_bounds_projected(out_crs[, densify_points])	Get raster bounds projected in a specified CRS.
get_footprint_projected(out_crs[, ...])	Get raster footprint projected in a specified CRS.
get_mask()	Get mask of invalid values from the raster.
get_metric_crs([local_crs_type, method])	Get local metric coordinate reference system for the raster (UTM, UPS, or custom Mercator or Polar).
get_nanarray([return_mask])	Get NaN array from the raster.
ij2xy(i, j[, shift_area_or_point, force_offset])	Get coordinates (x,y) of indexes (row,column).
info([stats, verbose])	Print summary information about the raster.
interp_points(points[, method, band, ...])	Interpolate raster values at a set of points.
interpolate([method, reference_elevation, mask])	Interpolate the dDEM using the given method.
intersection(raster[, match_ref])	Returns the bounding box of intersection between this image and another.
load([bands])	Load the raster array from disk.
outside_image(xi, yj[, index])	Check whether a given point falls outside the raster.
plot([bands, cmap, vmin, vmax, alpha, ...])	Plot the raster, with axes in projection of image.
polygonize([target_values, data_column_name])	Polygonize the raster into a vector.
proximity([vector, target_values, ...])	Compute proximity distances to the raster target pixels, or to a vector geometry on the raster grid.
raster_equal(other[, strict_masked, ...])	Check if two rasters are equal.
reduce_points(points[, reducer_function, ...])	Reduce raster values around point coordinates.
reproject([ref, crs, res, grid_size, ...])	Reproject raster to a different geotransform (resolution, bounds) and/or coordinate reference system (CRS).
save(filename[, driver, dtype, nodata, ...])	Write the raster to file.
set_area_or_point(new_area_or_point[, ...])	Set new pixel interpretation of the raster.
set_mask(mask)	Set a mask on the raster array.
set_nodata(new_nodata[, update_array, ...])	Set a new nodata value for all bands.
split_bands([copy, bands])	Split the bands into separate rasters.
subsample(subsample[, return_indices, ...])	Randomly sample the raster.
to_pointcloud([data_column_name, data_band, ...])	Convert raster to point cloud.
to_points(**kwargs)
to_rio_dataset()	Export to a Rasterio in-memory dataset.
to_xarray([name])	Convert raster to a xarray.DataArray.
translate(xoff, yoff[, distance_unit, inplace])	Shift a raster by a (x,y) offset.
xy2ij(x, y[, op, precision, shift_area_or_point])	Get indexes (row,column) of coordinates (x,y).

Attributes

area_or_point	Pixel interpretation of the raster.
bands	Band indexes loaded in memory if they are, otherwise on disk.
bands_on_disk	Band indexes on disk if a file exists.
bounds	Bounding coordinates of the raster.
count	Count of bands loaded in memory if they are, otherwise the one on disk.
count_on_disk	Count of bands on disk if it exists.
crs	Coordinate reference system of the raster.
data	Array of the raster.
driver	Driver used to read a file on disk.
dtype	Data type of the raster (string representation).
fill_method	Return the fill method used for the filled_data.
filled_data	Get the filled data array if it exists, or else the original data if it has no nans.
footprint	Footprint of the raster.
height	Height of the raster in pixels.
indexes	Band indexes (duplicate of .bands attribute, mirroring Rasterio naming "indexes").
is_loaded	Whether the raster array is loaded.
is_modified	Whether the array has been modified since it was loaded from disk.
name	Name of the file on disk, if it exists.
nodata	Nodata value of the raster.
res	Resolution (X, Y) of the raster in georeferenced units.
shape	Shape (i.e., height, width) of the raster in pixels.
time	Get the time duration.
transform	Geotransform of the raster.
width	Width of the raster in pixels.