I have a big set of PNG files and EPSG:3006 coordinates of the edges of each file. (actually the coordinates of the edges are given in the file name, like this: 'image_666751_7023263_667007_7023519.png', so 666751, 7023263, 667007, 7023519 are the boundaries of the this image in EPSG:3006 )
How can I convert those PNG files to GeoTIFF files using Python so the TIFF files would contain the geo metadata. I guess it can be done with Rasterio lib, but I'm not sure how exactly.
2 Answers 2
eventually this worked for me:
dataset = rasterio.open(input_file_path, 'r')
bands = [1, 2, 3]
data = dataset.read(bands)
transform = rasterio.transform.from_bounds(west, south, east, north, data.shape[1], data.shape[2])
crs = {'init': 'epsg:3006'}
with rasterio.open(output_file_path, 'w', driver='GTiff',
width=data.shape[1], height=data.shape[2],
count=3, dtype=data.dtype, nodata=0,
transform=transform, crs=crs) as dst:
dst.write(data, indexes=bands)
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1Can you write the Full code below for better understanding.sameer_nubia– sameer_nubia2020年10月12日 11:21:35 +00:00Commented Oct 12, 2020 at 11:21
Check out gdalwarp that is part of the GDAL library. There are Python bindings available through the osgeo package.
This is untested, but it should get you close to what you need:
from osgeo import gdal
gdal.Warp(
dstDS,
srcDS,
format='GTiff',
dstSRS='EPSG:3006',
outputBounds=[minX, minY, maxX, maxY]
)
You'll need to define the source and destination datasets, and fill in the extent for outputBounds. You can find more examples in the GDAL test suite.
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this won't work, you need GPCs for thatFlash Thunder– Flash Thunder2021年04月01日 09:34:51 +00:00Commented Apr 1, 2021 at 9:34
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