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Github reprojecting to mapublisher
Github reprojecting to mapublisher









github reprojecting to mapublisher
  1. #Github reprojecting to mapublisher code#
  2. #Github reprojecting to mapublisher professional#

Parser.add_argument('-p', '-proj', type = int, default = 3857, help = 'Output projection, must be EPSG number.') Parser.add_argument('-o', '-outdir', type = str, default = None, help = 'Output directory name.') Parser.add_argument('-i', '-indir', type = str, default = r'C:\Data\Freelancer\DavidHolcomb', help = 'Input directory name.') Parser = argparse.ArgumentParser(description = 'Script to create CONUS true color image from GOES 16 L1b data.') Here is my solution: # -*- coding: utf-8 -*-Ĭreated on Mon Mar 4 17:39:45 Guy Serbin

#Github reprojecting to mapublisher code#

I do not know python, so I have been attempting GDAL for the most part- however working python code added to my source code to achieve the expected result (or a working GDAL script) will earn the bounty.

github reprojecting to mapublisher

If the python code were modified to do this all in one go, that would be great too. (Mine must be EPSG:3857 for use with Mapbox). nc file on AWS > Color Channel 3 (Infrared - serves as green)Īdditionaly, someone else online has accomplished this using a similar projection via the pyproj module at. nc file on AWS > Color Channel 2 (Red, Higher 0.5km resolution & larger file size) nc file on AWS > Color Channel 1 (Blue 1km resolution) The following links are samples of the data that needs to be converted :

#Github reprojecting to mapublisher professional#

I am not a professional with this, but should I even be using gdalwarp to do this? I only want to change the projection - nothing else, so the python app can still work with the data. However, there have been several other variations tried and nothing works. The code I have tried is : gdalwarp -t_srs EPSG:3857 test.nc test-projected.nc (It is slow as the files are super high resolution). The source code for that application is Located here so you may validate the data. After the 3 files are downloaded (from Amazon AWS), a python console app does the processing and dumps a. nc files (blue, red, and infrared) that when combined and processed create a color image. I am working on colorizing satellite data. This data must be reprojected before it goes to a console app - and this process is taking weeks to find a solution for - I figured it was simple. I am open to using GDAL or other methods to do this. I am trying to convert netCDF files to EPSG:3857 for use with Mapbox by using GDAL.











Github reprojecting to mapublisher