|
| 1 | +""" |
| 2 | +This file is part of gempy. |
| 3 | +
|
| 4 | +Created on 16.04.2019 |
| 5 | +
|
| 6 | +@author: Elisa Heim |
| 7 | +""" |
| 8 | + |
| 9 | +import numpy as np |
| 10 | +import pandas as pn |
| 11 | +import os |
| 12 | + |
| 13 | +from gempy_plugins.optional_dependencies import require_gdal |
| 14 | +import matplotlib.pyplot as plt |
| 15 | + |
| 16 | + |
| 17 | +class LoadDEMGDAL: |
| 18 | + """Class to include height elevation data (e.g. DEMs) with the geological grid |
| 19 | + """ |
| 20 | + |
| 21 | + def __init__(self, path_dem, grid=None, extent=None, delete_temp=True): |
| 22 | + """ |
| 23 | + Args: |
| 24 | + path_dem: path where dem is stored. file format: GDAL raster formats |
| 25 | + if grid: cropped to geomodel extent |
| 26 | + """ |
| 27 | + self.gdal = require_gdal() |
| 28 | + self.dem = self.gdal.Open(path_dem) |
| 29 | + |
| 30 | + if isinstance(self.dem, type(None)): |
| 31 | + raise AttributeError( |
| 32 | + 'Raster file could not be opened {}. Check if the filepath is correct. If yes,' |
| 33 | + 'check if your file fits the requirements of GDALs raster file formats.'.format(path_dem)) |
| 34 | + |
| 35 | + try: |
| 36 | + self.dem_zval = self.dem.ReadAsArray() |
| 37 | + except AttributeError: |
| 38 | + raise AttributeError('Filepath seems to be wrong.') |
| 39 | + |
| 40 | + self._get_raster_dimensions() |
| 41 | + |
| 42 | + if extent is not None: |
| 43 | + self.regular_grid_extent = extent |
| 44 | + self.crop2grid() |
| 45 | + elif grid is not None: |
| 46 | + self.regular_grid_extent = grid.extent |
| 47 | + self.crop2grid() |
| 48 | + else: |
| 49 | + print('pass geo_model to automatically crop the DEM to the grid extent') |
| 50 | + print('depending on the size of the raster, this can take a while...') |
| 51 | + self.convert2xyz() |
| 52 | + |
| 53 | + if delete_temp is True: |
| 54 | + self.dem = None |
| 55 | + os.remove('topo.xyz') |
| 56 | + if os.path.exists('_cropped_DEM.tif'): |
| 57 | + os.remove('_cropped_DEM.tif') |
| 58 | + |
| 59 | + def _get_raster_dimensions(self): |
| 60 | + """calculates DEM extent, resolution, and max. z extent (d_z)""" |
| 61 | + ulx, xres, xskew, uly, yskew, yres = self.dem.GetGeoTransform() |
| 62 | + z = self.dem_zval |
| 63 | + if np.any(np.array([xskew, yskew])) != 0: |
| 64 | + print('DEM is not north-oriented.') |
| 65 | + lrx = ulx + (self.dem.RasterXSize * xres) |
| 66 | + lry = uly + (self.dem.RasterYSize * yres) |
| 67 | + self.resolution = np.array([(uly - lry) / (-yres), (lrx - ulx) / xres]).astype(int) |
| 68 | + self.extent = np.array([ulx, lrx, lry, uly]).astype(int) |
| 69 | + self.d_z = np.array([z.min(), z.max()]) |
| 70 | + |
| 71 | + def get_values(self): |
| 72 | + return self.values_3D |
| 73 | + |
| 74 | + def info(self): |
| 75 | + ulx, xres, xskew, uly, yskew, yres = self.dem.GetGeoTransform() |
| 76 | + print('raster extent: {}\n raster resolution: {}\n Pixel X size {}, Pixel Y size {}'.format( |
| 77 | + self.extent, self.resolution, xres, yres)) |
| 78 | + plt.imshow(self.dem_zval, extent=self.extent) # plot raster as image |
| 79 | + plt.colorbar() |
| 80 | + |
| 81 | + def crop2grid(self, delete_temp=True): |
| 82 | + """ |
| 83 | + Crops raster to extent of the geomodel grid. |
| 84 | + """ |
| 85 | + cornerpoints_geo = self._get_cornerpoints(self.regular_grid_extent) |
| 86 | + cornerpoints_dtm = self._get_cornerpoints(self.extent) |
| 87 | + |
| 88 | + # self.check() |
| 89 | + |
| 90 | + if np.any(cornerpoints_geo[:2] - cornerpoints_dtm[:2]) != 0: |
| 91 | + path_dest = '_cropped_DEM.tif' |
| 92 | + new_bounds = (self.regular_grid_extent[[0, 2, 1, 3]]) |
| 93 | + self.gdal.Warp( |
| 94 | + path_dest, |
| 95 | + self.dem, |
| 96 | + options=self.gdal.WarpOptions( |
| 97 | + options=['outputBounds'], outputBounds=new_bounds |
| 98 | + ) |
| 99 | + ) |
| 100 | + |
| 101 | + self.dem = self.gdal.Open(path_dest) |
| 102 | + self.dem_zval = self.dem.ReadAsArray() |
| 103 | + self._get_raster_dimensions() |
| 104 | + |
| 105 | + print('Cropped raster to geo_model.grid.extent.') |
| 106 | + |
| 107 | + def check(self): |
| 108 | + # TODO make this usable |
| 109 | + test = np.logical_and.reduce((self.regular_grid_extent[0] <= self.extent[0], |
| 110 | + self.regular_grid_extent[1] >= self.extent[1], |
| 111 | + self.regular_grid_extent[2] <= self.extent[2], |
| 112 | + self.regular_grid_extent[3] >= self.extent[3])) |
| 113 | + if test: |
| 114 | + cornerpoints_geo = self._get_cornerpoints(self.regular_grid_extent) |
| 115 | + cornerpoints_dtm = self._get_cornerpoints(self.extent) |
| 116 | + plt.scatter(cornerpoints_geo[:, 0], cornerpoints_geo[:, 1], label='grid extent') |
| 117 | + plt.scatter(cornerpoints_dtm[:, 0], cornerpoints_dtm[:, 1], label='raster extent') |
| 118 | + plt.legend(frameon=True, loc='upper left') |
| 119 | + raise AssertionError('The model extent is too different from the raster extent.') |
| 120 | + |
| 121 | + def convert2xyz(self, del_temp=True): |
| 122 | + """ |
| 123 | + Translates the gdal raster object to a numpy array of xyz coordinates. |
| 124 | + """ |
| 125 | + path_dest = 'topo.xyz' |
| 126 | + print('storing converted file...') |
| 127 | + shape = self.dem_zval.shape |
| 128 | + if len(shape) == 3: |
| 129 | + shape = shape[1:] |
| 130 | + self.gdal.Translate( |
| 131 | + path_dest, |
| 132 | + self.dem, |
| 133 | + options=self.gdal.TranslateOptions( |
| 134 | + options=['format'], |
| 135 | + format="XYZ" |
| 136 | + ) |
| 137 | + ) |
| 138 | + |
| 139 | + xyz = pn.read_csv(path_dest, header=None, sep=' ').values |
| 140 | + self.values_3D = xyz.reshape((*shape, 3), order='C') |
| 141 | + |
| 142 | + # This is for 3D going from xyz to ijk |
| 143 | + self.values_3D = self.values_3D.swapaxes(0, 1) |
| 144 | + self.values_3D = np.flip(self.values_3D, 1) |
| 145 | + |
| 146 | + return self.values_3D |
| 147 | + |
| 148 | + def _resize(self, resx, resy): |
| 149 | + raise NotImplementedError |
| 150 | + |
| 151 | + def resample(self, new_xres, new_yres, save_path): |
| 152 | + """ |
| 153 | + Decrease the pixel size of the raster. |
| 154 | +
|
| 155 | + Args: |
| 156 | + new_xres (int): desired resolution in x-direction |
| 157 | + new_yres (int): desired resolution in y-direction |
| 158 | + save_path (str): filepath to where the output file should be stored |
| 159 | +
|
| 160 | + Returns: Nothing, it writes a raster file with decreased resolution. |
| 161 | +
|
| 162 | + """ |
| 163 | + props = self.dem.GetGeoTransform() |
| 164 | + print('current pixel xsize:', props[1], 'current pixel ysize:', -props[-1]) |
| 165 | + options = self.gdal.WarpOptions(options=['tr'], xRes=new_xres, yRes=new_yres) |
| 166 | + newfile = self.gdal.Warp(save_path, self.dem, options=options) |
| 167 | + newprops = newfile.GetGeoTransform() |
| 168 | + print('new pixel xsize:', newprops[1], 'new pixel ysize:', -newprops[-1]) |
| 169 | + print('file saved in ' + save_path) |
| 170 | + |
| 171 | + @staticmethod |
| 172 | + def _get_cornerpoints(extent): |
| 173 | + """Get the coordinates of the bounding box. |
| 174 | +
|
| 175 | + Args: |
| 176 | + extent: np.array([xmin, xmax, ymin, ymax)] |
| 177 | +
|
| 178 | + Returns: np.ndarray with corner coordinates |
| 179 | +
|
| 180 | + """ |
| 181 | + upleft = ([extent[0], extent[3]]) |
| 182 | + lowleft = ([extent[0], extent[2]]) |
| 183 | + upright = ([extent[1], extent[3]]) |
| 184 | + lowright = ([extent[1], extent[2]]) |
| 185 | + return np.array([upleft, lowleft, upright, lowright]) |
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