palmerj

Creating a Cloud Optimised Geotiffs (COGs) for raster photo imagery

This process outlines the process for creating Cloud Optimised Geotiffs suitable for hosting in services such as AWS S3. COGs enables more efficient workflows use cases such as fast access from Functions as a Services (E.g AWS Lambda), or comsumption into client desktop GIS systems (e.g QGIS). For more details on COGs please see https://www.cogeo.org/in-depth.html

1. Create a mosaic

perrygeo

import os
import sys

outdir = os.path.abspath(os.path.join(os.path.dirname(__file__), 'output'))
if not os.path.exists(outdir):
    os.mkdir(outdir)
input_elevation = "dem.img"

gisbase = os.environ['GISBASE'] = "/usr/local/grass-7.0.0svn"

seberg

def rolling_window(array, window=(0,), asteps=None, wsteps=None, axes=None, toend=True):
    """Create a view of `array` which for every point gives the n-dimensional
    neighbourhood of size window. New dimensions are added at the end of
    `array` or after the corresponding original dimension.
    
    Parameters
    ----------
    array : array_like
        Array to which the rolling window is applied.
    window : int or tuple

erussell

/data
/mosaic.gdb
/scratch.gdb