xdem.DEM

class xdem.DEM(filename_or_dataset, vcrs=None, silent=True, **kwargs)

The digital elevation model.

The DEM has a single main attribute in addition to that inherited from geoutils.Raster:

vcrs: pyproj.VerticalCRS

Vertical coordinate reference system of the DEM.

Other derivative attributes are:

vcrs_name: str

Name of vertical CRS of the DEM.

vcrs_grid: str

Grid path to the vertical CRS of the DEM.

ccrs: pyproj.CompoundCRS

Compound vertical and horizontal CRS of the DEM.

The attributes inherited from geoutils.Raster are:

data: np.ndarray

Data array of the DEM, with dimensions corresponding to (count, height, width).

transform: affine.Affine

Geotransform of the DEM.

crs: pyproj.crs.CRS

Coordinate reference system of the DEM.

nodata: int or float

Nodata value of the DEM.

All other attributes are derivatives of those attributes, or read from the file on disk. See the API for more details.

__init__(filename_or_dataset, vcrs=None, silent=True, **kwargs)

Instantiate a digital elevation model.

The vertical reference of the DEM can be defined by passing the vcrs argument. Otherwise, a vertical reference is tentatively parsed from the DEM product name.

Inherits all attributes from the geoutils.Raster and geoutils.SatelliteImage classes.

Parameters:

• filename_or_dataset (Union[str, TypeVar(RasterType, bound= Raster), DatasetReader, MemoryFile]) – The filename of the dataset.

• vcrs (Union[Literal['Ellipsoid'], Literal['EGM08'], Literal['EGM96'], VerticalCRS, str, Path, int, None]) – Vertical coordinate reference system either as a name (“WGS84”, “EGM08”, “EGM96”), an EPSG code or pyproj.crs.VerticalCRS, or a path to a PROJ grid file (OSGeo/PROJ-data).

• silent (bool) – Whether to display vertical reference parsing.

Methods

__init__(filename_or_dataset[, vcrs, silent])	Instantiate a digital elevation model.
astype(dtype[, inplace])	Convert data type of the raster.
coords([offset, grid])	Get coordinates (x,y) of all pixels in the raster.
copy([new_array])	Copy the DEM, possibly updating the data array.
crop(crop_geom[, mode, inplace])	Crop the raster to a given extent.
from_array(data, transform, crs[, nodata, vcrs])	Create a DEM from a numpy array and the georeferencing information.
georeferenced_grid_equal(raster)	Check that raster shape, geotransform and CRS are equal.
get_bounds_projected(out_crs[, densify_pts])	Get raster bounds projected in a specified CRS.
get_footprint_projected(out_crs[, densify_pts])	Get raster footprint projected in a specified CRS.
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[, offset])	Get coordinates (x,y) of indexes (row,column).
info([stats])	Summarize information about the raster.
interp_points(pts[, input_latlon, mode, ...])	Interpolate raster values at a set of points.
intersection(rst[, match_ref])	Returns the bounding box of intersection between this image and another.
load([indexes])	Load the raster array from disk.
outside_image(xi, yj[, index])	Check whether a given point falls outside the raster.
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)	Check if two rasters are equal.
reproject([dst_ref, dst_crs, dst_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_mask(mask)	Set a mask on the raster array.
set_nodata(new_nodata[, update_array, ...])	Set a new nodata value for all bands.
set_vcrs(new_vcrs)	Set the vertical coordinate reference system of the DEM.
shift(xoff, yoff[, distance_unit])	Shift the raster by a (x,y) offset.
show([index, cmap, vmin, vmax, alpha, ...])	Plot the raster, with axes in projection of image.
split_bands([copy, subset])	Split the bands into separate rasters.
subsample(subsample[, return_indices, ...])	Randomly subsample the raster.
to_points([subset, as_array, pixel_offset])	Convert raster to points.
to_rio_dataset()	Export to a Rasterio in-memory dataset.
to_vcrs(dst_vcrs[, src_vcrs])	Convert the DEM to another vertical coordinate reference system.
to_xarray([name])	Convert raster to a xarray.DataArray.
value_at_coords(x, y[, latlon, index, ...])	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

bounds	Bounding coordinates of the raster.
ccrs	Compound horizontal and vertical coordinate reference system of the DEM.
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.
datetime
driver	Driver used to read a file on disk.
dtypes	Data type for each raster band (string representation).
height	Height of the raster in pixels.
indexes	Indexes of bands loaded in memory if they are, otherwise on disk.
indexes_on_disk	Indexes of bands on disk if it exists.
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.
product
res	Resolution (X, Y) of the raster in georeferenced units.
satellite
sensor
shape	Shape (i.e., height, width) of the raster in pixels.
tile_name
transform	Geotransform of the raster.
vcrs	Vertical coordinate reference system of the DEM.
vcrs_grid	Grid path of vertical coordinate reference system of the DEM.
vcrs_name	Name of vertical coordinate reference system of the DEM.
version
width	Width of the raster in pixels.
date