Kersten kr-stn

Data Science, Satellites and Python.

kr-stn / random-QML.py

Created October 25, 2016 13:57

Generate 5000 randomly colored QML styles for display of segmentation results.

	import random

	for value in range(5000):
	print("<item alpha=\"255\" value=\"{}\" label=\"{}\" color=\"#{}\"/>".format(value, value, hex(random.randint(0, 16777215))[2:].upper()))

kr-stn / Global_tree_cover_vector_from_Hansen.py

Last active May 11, 2022 21:18

	#!/usr/bin/env python
	__author__ = 'kersten.clauss'
	__date__ = '28.03.2015'


	"""script to create a vector/polygon from Hansens 30m global tree cover dataset
	(http://earthenginepartners.appspot.com/science-2013-global-forest/download_v1.1.html)

	Each tile will be downloaded, filtered to >75% tree cover for 2013 and merged into a global vector datset. The format of
	the vector dataset is SpatiaLite/SQLite. It is advised to use the resampling to 250m option otherwise the resulting

kr-stn / GTiff_compression_benchmark.py

Last active July 20, 2023 13:02

Benchmark filesize and read/ write times for various GeoTiff compression algorithms

	__author__ = 'kersten.clauss'

	"""Benchmark different GeoTiff compression algorithms.

	Usage: GTiff_compression_benchmark.py some_geo.tif

	Requires the GDAL tools to be present and executable from the command line of your system.

	This script will take a GeoTiff as input and create copies with different compression algorithms from it.
	It measures the filesize, compression and decompression times and returns them as a table.