I used gdal_translate to convert a geotiff to a jpg with jpg.aux.xml file. The following is part of the script I used to get and write the tiles to disk import rasterio as rio im = rio.open('./rgb.tif

Yes. That was exactly it. My bad. Thanks.

Hi guys, I'm trying to write to an array to a tiff as follows: profile.update(driver="GTiff", count=1) with open('res.tiff', 'w', **profile) as dst: dst.write(thresh.astype(rio.uint8), 1) However, I'm

How can I convert a 16 bit tiff to an 8 bit tiff using rasterio. I can do this via gdal_translate so I was wondering if there's a rasterio equivalent?

Given a binary numpy array (array of 0s and 1s where 0=background), what would be the best way to polygonise this raster and write it to a geojson?

Thanks. Setting the boundless flag fixed the problem.

I need to tile a large geotiff into equally sized tiles (with/without overlap depending on user). While I've been able to do that, a problem arises in the edge windows wherein the edge windows have a

I have a geotiff (size= 4490 x 7341) that I cut into 256 x 256 crops to do an operation. Once the operation is done, I merge them back together. Since the original dimensions aren't divisible by 256 t

I originally had a geotiff (size= 4490 x 7341) which I tiled into tiles of size 256 x 256 to perform an operation. The result is a list of 522 numpy array. From the original geotiff I have the geo tra

I merged two tiffs via the rasterio.merge function which returned the merged numpy array and the geo transform. Is there a way to get the bounds (in latitude and longitude) of this new merged image?

I would like to crop my large geotiff into 800 x 800 tiles. While it's possible to do so otherwise, I was wondering if rasterio has an internal functionality to crop large geotiffs to tiles of a speci