xdem.dDEM

xdem.dDEM#

class xdem.dDEM(raster, start_time, end_time, error=None)[source]#

A difference-DEM object.

__init__(raster, start_time, end_time, error=None)[source]#

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_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])

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.

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.

shift(xoff, yoff[, distance_unit, inplace])

Shift a raster by a (x,y) offset.

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.

value_at_coords(x, y[, latlon, band, ...])

Extract raster values at the nearest pixels from the specified coordinates, or reduced (e.g., mean of pixels) from a window around the specified coordinates.

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.

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.