Hi all,
I am currently attending the EO4Alps conference in Innsbruck, Austria. The objectives of this interesting workshop are:
My favourite supervised classification method for land cover classification until now was the very popular Random Forest. Recently however, I stumbled upon the xgBoost algorithm which made me very curious because of its huge success on the machine learning competition platform Kaggle where it has won several competitions. Since I
Dear Sentinel-2 enthusiasts!
First of all, I would like to wish you merry christmas and happy holidays. I thought I will use my time free time inbetween family gatherings first of all for digesting delicious christmas cookies and secondly for writing a short post on how to download Sentinel-2 satellite
Today, someone who wants to switch from Windows to Linux asked me if I could help him run ESA SNAP on Ubuntu. I thought it would be interesting for the blog, too. For those who don’t know: ESA SNAP (Sentinel Application Platform) is the common architecture for all Sentinel Toolboxes.
There
Today I would like to briefly introduce you to the Sentinel-Hub powered by Sinergise.
It is a very powerful and easy to use tool for the search, exploitation and visualization of Sentinel data and can be accessed under the following link: http://www.sentinel-hub.com
So what makes it so special? First of all
Hi all,
I’d like to point out a study conducted by colleagues from the Austrian Institute of Technology, the University of Natural Resources and Life Sciences Vienna and the University of Salzburg. In this study, we have analysed indicators for the sustainable development of cities that have the greatest potential for
Hey folks!
Today I am going to show you how to perform a very basic kMeans unsupervised classification of satellite imagery using R. We will do this on a small subset of a Sentinel-2 image.
Sentinel-2 is a satellite launched by the European Space Agency and its data is freely accessible
Today I am going to give you a short introduction into the Google Earth Engine and show you how to create a cloud free mosaic of Europe using Sentinel-2 data in just one minute! Yes, literally one minute!
The Google Earth Engine is a “computing platform that allows users to
As announced, here comes a short introduction to Spectral Python:
What is Spectral Python?
Spectral Python or SPy is a Python module for hyperspectral image processing. It works with Python 2.6/3.3 or higher versions (Python 3.6.2 is available since yesterday! 😉).
You can read, write, visualize and classify data with
For the hyperspectral people using Spectral Python: Version 0.19 was released just today.
For the hyperspectral people not using Spectral Python: Give it a try!
It has functions for reading, displaying, manipulating, and classifying your data and of course it is FOSS.
https://github.com/spectralpython/spectral
Perhaps there is some need for a