| __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. |
| #!/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 |
| import random | |
| for value in range(5000): | |
| print("<item alpha=\"255\" value=\"{}\" label=\"{}\" color=\"#{}\"/>".format(value, value, hex(random.randint(0, 16777215))[2:].upper())) |
| #!/bin/bash | |
| CERT_DIR="/home/ubuntu/certificate" | |
| CONF_DIR="/home/ubuntu/.jupyter" | |
| KEY="sha1:ca85a365c80b:0aee2a4846aadd78bec18ee21cf83cb77198b7a4" | |
| # install latest miniconda version | |
| cd "/home/ubuntu/" | |
| su ubuntu -c "wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh" | |
| su ubuntu -c "bash Miniconda3-latest-Linux-x86_64.sh -b -p /home/ubuntu/miniconda3" |
Welcome to the sentinelsat open source project. We invite anyone to participate by contributing code, reporting bugs, fixing bugs, writing documentation and tutorials and discussing the future of this project.
Please search existing issues, open and closed, before creating a new one.
Providing a Short, Self Contained, Correct (Compilable), Example (SSCCE) demonstrating the issue is encouraged.