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dataset/crop/bugfix/up-updated-extent-for-cropped-raster #75

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merged 4 commits into from
Dec 31, 2023
Merged

dataset/crop/bugfix/up-updated-extent-for-cropped-raster #75

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87aebda
add exception in the stats method to bridge error in the GetStatistic…
MAfarrag Dec 29, 2023
7adbda1
remove the bug test
MAfarrag Dec 29, 2023
fe058e6
correct the gdal error when cutline is false in gdal.wrap
MAfarrag Dec 31, 2023
ac8d361
test __str__ and __repr__
MAfarrag Dec 31, 2023
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4 changes: 2 additions & 2 deletions docs/dataset.rst
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Expand Up @@ -742,9 +742,9 @@ Parameters
method: [String]
resampling technique default is "Nearest"
https://gisgeography.com/raster-resampling/
"nearest neigbour" for nearest neighbour,"cubic" for cubic convolution,
"nearest neighbour" for nearest neighbour,"cubic" for cubic convolution,
"bilinear" for bilinear
maintain_alighment : [bool]
maintain_alignment : [bool]
True to maintain the number of rows and columns of the raster the same after re-projection. Default is False.

Returns
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8 changes: 4 additions & 4 deletions examples/MatchTwoRasters.py
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Expand Up @@ -4,7 +4,7 @@

match two rasters
"""
#%links
# %links
import os

rpath = r"C:\MyComputer\01Algorithms\gis\pyramids"
Expand All @@ -17,11 +17,11 @@
from pyramids.dataset import Dataset

# import matplotlib.pyplot as plt
#%% inputs
# %% inputs
RasterAPath = f"{rpath}/examples/data/DEM5km_Rhine_burned_acc.tif"
RasterBPath = f"{rpath}/examples/data/MSWEP_1979010100_reprojected.tif"
SaveTo = f"{rpath}/examples/data/MSWEP_1979010100_Matched.tif"
#%% Read the Input rasters
# %% Read the Input rasters
# the source raster is of the ASCII format
src = gdal.Open(RasterAPath)
src_Array = src.ReadAsArray()
Expand All @@ -45,7 +45,7 @@

# %% Match the NODataValue
# TODO : fix bug in nearestneighbor
NewRasterB_ND = Dataset._crop_alligned(src, NewRasterB)
NewRasterB_ND = Dataset._crop_aligned(src, NewRasterB)

NoDataValue = NewRasterB_ND.GetRasterBand(1).GetNoDataValue()

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2 changes: 1 addition & 1 deletion pyramids/_utils.py
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Expand Up @@ -121,7 +121,7 @@
)

INTERPOLATION_METHODS = {
"nearest neigbour": gdal.GRA_NearestNeighbour,
"nearest neighbour": gdal.GRA_NearestNeighbour,
"cubic": gdal.GRA_Cubic,
"bilinear": gdal.GRA_Bilinear,
}
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