From 4eba751b91bbe415fbc2b76806aadcefd5b103ef Mon Sep 17 00:00:00 2001 From: drnextgis Date: Thu, 30 Aug 2018 11:59:01 +0700 Subject: [PATCH] New masked_value parameter for cropping --- telluric/georaster.py | 47 ++++++++++++++++++++++++----------- tests/data/raster/nomask.jp2 | Bin 0 -> 605104 bytes tests/test_merge_all.py | 20 +++++++++++++++ 3 files changed, 53 insertions(+), 14 deletions(-) create mode 100644 tests/data/raster/nomask.jp2 diff --git a/telluric/georaster.py b/telluric/georaster.py index 2dd88c78..21145b98 100644 --- a/telluric/georaster.py +++ b/telluric/georaster.py @@ -85,7 +85,8 @@ class PixelStrategy(Enum): def merge_all(rasters, roi=None, dest_resolution=None, merge_strategy=MergeStrategy.UNION, shape=None, ul_corner=None, crs=None, - pixel_strategy=PixelStrategy.FIRST): + pixel_strategy=PixelStrategy.FIRST, + crop_masked_value=None): """Merge a list of rasters, cropping by a region of interest. There are cases that the roi is not precise enough for this cases one can use, the upper left corner the shape and crs to precisely define the roi. @@ -100,7 +101,7 @@ def merge_all(rasters, roi=None, dest_resolution=None, merge_strategy=MergeStrat dtype=rasters[0].dtype, shape=shape, ul_corner=ul_corner, crs=crs) # Create a list of single band rasters - all_band_names, projected_rasters = _prepare_rasters(rasters, merge_strategy, empty) + all_band_names, projected_rasters = _prepare_rasters(rasters, merge_strategy, empty, crop_masked_value) assert len(projected_rasters) == len(rasters) prepared_rasters = _apply_pixel_strategy(projected_rasters, pixel_strategy) @@ -172,8 +173,12 @@ def key(rs): return rasters_final -def _prepare_rasters(rasters, merge_strategy, first): - # type: (List[GeoRaster2], MergeStrategy, GeoRaster2) -> Tuple[IndexedSet[str], List[Optional[_Raster]]] +def _prepare_rasters(rasters, # type: List[GeoRaster2] + merge_strategy, # type: MergeStrategy + first, # type: GeoRaster2 + crop_masked_value=None # type: Union[int, float] + ): + # type: (...) -> Tuple[IndexedSet[str], List[Optional[_Raster]]] """Prepares the rasters according to the baseline (first) raster and the merge strategy. The baseline (first) raster is used to crop and reproject the other rasters, @@ -185,7 +190,7 @@ def _prepare_rasters(rasters, merge_strategy, first): all_band_names = IndexedSet(first.band_names) projected_rasters = [] for raster in rasters: - projected_raster = _prepare_other_raster(first, raster) + projected_raster = _prepare_other_raster(first, raster, crop_masked_value) # Modify the bands only if an intersecting raster was returned if projected_raster: @@ -216,12 +221,14 @@ def _explode_raster(raster, band_names=[]): return [_Raster(image=raster.bands_data([band_name]), band_names=[band_name]) for band_name in band_names] -def _prepare_other_raster(one, other): - # type: (GeoRaster2, GeoRaster2) -> Union[_Raster, None] +def _prepare_other_raster(one, other, crop_masked_value=None): + # type: (GeoRaster2, GeoRaster2, Union[int, float]) -> Union[_Raster, None] # Crop and reproject the second raster, if necessary if not (one.crs == other.crs and one.affine.almost_equals(other.affine) and one.shape == other.shape): if one.footprint().intersects(other.footprint()): - other = other.crop(one.footprint(), resolution=one.resolution()) + other = other.crop(one.footprint(), + resolution=one.resolution(), + masked_value=crop_masked_value) other = other._reproject(new_width=one.width, new_height=one.height, dest_affine=one.affine, dst_crs=one.crs, resampling=Resampling.nearest) @@ -931,11 +938,14 @@ def type_min(dtype): dst_array = dst_array.astype(dst_type) return self.copy_with(image=dst_array) - def crop(self, vector, resolution=None, masked=True, bands=None): + def crop(self, vector, resolution=None, masked=True, masked_value=None, bands=None): """ crops raster outside vector (convex hull) :param vector: GeoVector :param resolution: output resolution, None for full resolution + :param masked: boolean, if `True` the return value will be a masked array. Default is True + :param masked_value: only this pixel value will be masked, optional + :param bands: list of indices of requested bands, default None which returns all bands :return: GeoRaster """ bounds, window = self._vector_to_raster_bounds(vector, boundless=self._image is None) @@ -944,7 +954,9 @@ def crop(self, vector, resolution=None, masked=True, bands=None): else: xsize, ysize = (None, None) - return self.pixel_crop(bounds, xsize, ysize, window=window, masked=masked, bands=bands) + return self.pixel_crop(bounds, xsize, ysize, + window=window, masked=masked, + masked_value=masked_value, bands=bands) def _window(self, bounds, to_round=True): # self.window expects to receive the arguments west, south, east, north, @@ -994,13 +1006,15 @@ def _resolution_to_output_shape(self, bounds, resolution): ysize = round(height / yscale) return xsize, ysize - def pixel_crop(self, bounds, xsize=None, ysize=None, window=None, masked=True, bands=None): + def pixel_crop(self, bounds, xsize=None, ysize=None, window=None, + masked=True, masked_value=None, bands=None): """Crop raster outside vector (convex hull). :param bounds: bounds of requester portion of the image in image pixels :param xsize: output raster width, None for full resolution :param ysize: output raster height, None for full resolution :param windows: the bounds representation window on image in image pixels, Optional + :param masked_value: only this pixel value will be masked, optional :param bands: list of indices of requested bands, default None which returns all bands :return: GeoRaster """ @@ -1015,7 +1029,8 @@ def pixel_crop(self, bounds, xsize=None, ysize=None, window=None, masked=True, b bounds[1], bounds[2] - bounds[0] + 1, bounds[3] - bounds[1] + 1) - return self.get_window(window, xsize=xsize, ysize=ysize, masked=masked, bands=bands) + return self.get_window(window, xsize=xsize, ysize=ysize, + masked=masked, masked_value=masked_value, bands=bands) def _crop(self, bounds, xsize=None, ysize=None): """Crop raster outside vector (convex hull). @@ -1579,8 +1594,9 @@ def _get_window_out_shape(self, bands, window, xsize, ysize): def get_window(self, window, bands=None, xsize=None, ysize=None, - resampling=Resampling.cubic, masked=True, affine=None - ): + resampling=Resampling.cubic, + masked=True, masked_value=None, + affine=None): """Get window from raster. :param window: requested window @@ -1589,6 +1605,7 @@ def get_window(self, window, bands=None, :param ysize: tile y size default None, for full resolution pass None :param resampling: which Resampling to use on reading, default Resampling.cubic :param masked: boolean, if `True` the return value will be a masked array. Default is True + :masked_value: only this pixel value will be masked, optional :return: GeoRaster2 of tile """ bands = bands or list(range(1, self.num_bands + 1)) @@ -1605,6 +1622,8 @@ def get_window(self, window, bands=None, } with self._raster_opener(self._filename) as raster: # type: rasterio.io.DatasetReader array = raster.read(bands, **read_params) + if masked and (masked_value is not None): + array = np.ma.masked_where(array == masked_value, array) affine = affine or self._calculate_new_affine(window, out_shape[2], out_shape[1]) raster = self.copy_with(image=array, affine=affine) diff --git a/tests/data/raster/nomask.jp2 b/tests/data/raster/nomask.jp2 new file mode 100644 index 0000000000000000000000000000000000000000..2dfb855339c43ec41073804d40da0243ee0c14c5 GIT binary patch literal 605104 zcmb5V1ymi|vNnplyF0<%A-KD{%fj6g+}+*X2@>4hg1b9G0t9#aNp{Y;d!KvWd;eQK zx@WD@uc~Ixo@3Df0Rh2TDi9ID!-T*90Rdr|I)Adav}Y!Ir-6QrmiF$yXmm$MfCF&1 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--git a/tests/test_merge_all.py b/tests/test_merge_all.py index 0810f64a..44cdff72 100644 --- a/tests/test_merge_all.py +++ b/tests/test_merge_all.py @@ -5,6 +5,7 @@ import numpy as np from numpy.testing import assert_array_equal from affine import Affine +from shapely import geometry from telluric import FeatureCollection, GeoFeature from telluric.constants import WEB_MERCATOR_CRS, WGS84_CRS @@ -140,6 +141,25 @@ def test_crop_for_merging(main_r, cropping_r): assert(rr.affine.almost_equals(cropping_r.affine)) +def test_crop_masked_value(): + rr = GeoRaster2.open("tests/data/raster/nomask.jp2") + bounds = [-6530057, -3574558, -6492196, -3639376] + roi = GeoVector(geometry.Polygon.from_bounds(*bounds), crs=WEB_MERCATOR_CRS) + + # https://github.com/mapbox/rasterio/issues/1449 + out = rr.crop(roi, masked=True) + assert(out.image.mask is np.ma.nomask) + + out = rr.crop(roi, masked=True, masked_value=0) + assert(out.image.mask[0, -1, -1]) + + out = rr.crop(roi, masked=False) + # It is very confused behaviour that crop returns masked array even + # if masked=False. This is due to default value of nodata + # (nodata=0) in GeoRaster2 constructor. + assert(out.image.mask[0, -1, -1]) + + def test_pixel_crop(): rr = black_and_white_raster([1, 2, 3], height=1000, width=1000) out = rr.pixel_crop((0, 0, 1000, 1000))