Brendan Collins brendancol

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

	from datetime import datetime
	from enum import Enum
	from dateutil.relativedelta import relativedelta
	from typing import Tuple, List



	def get_today() -> datetime:
	tz = pytz.timezone('America/New_York')
	return datetime.now(tz)

	import React, { Component } from 'react';
	import './Fetch.css';
	import 'abortcontroller-polyfill/dist/polyfill-patch-fetch';

	const AbortController = window.AbortController;
	const controller = new AbortController();
	const signal = controller.signal;

	class Fetch extends Component {

	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

	name: point-clouds
	channels:
	- menpo
	- conda-forge
	- defaults
	dependencies:
	- libiconv=1.14=4
	- libxslt=1.1.29=3
	- pyside=1.2.4=py27_6
	- configobj=5.0.6=py27_0

	from functools import partial
	import numpy as np
	from scipy.spatial import cKDTree
	from dask.delayed import delayed
	import dask.bag as db

	class DaskKDTree(object):
	"""

	Usage Example:

	from sklearn.ensemble import RandomForestClassifier
	from sklearn import preprocessing

	import pandas as pd
	import numpy as np

	from functools import partial


	def encode_data(df, cols):

	# Install fastparquet and pytables
	# conda install pytables
	# conda install -c conda-forge fastparquet
	# conda install python-snappy

	import pandas as pd
	import fastparquet as fp

	# Write file
	df = pd.read_hdf(data_path, base)

Brendan Collins brendancol

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

1. Create a mosaic