Dear all,
during the process of streamlining my posts on extreme value analysis, I have tried to rework the import of the data sets used for my elaborations. Usually, one would definitely use custom functions to perform tasks like this data import, and I figured that this is also useful in
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
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
Hey there!
Sentinel-2 is a relatively new satellite and cloud masking still is a big issue with this sensor. There are many ways on how to get cloud free images of Sentinel-2A (hopefully 2B soon as well). Here is an overview on possible technologies you can use, as well as
Dear GIS enthusiasts!
As you already know, R is my favourite tool to work with spatial (raster) data. In some situations however, I am forced to move to a GIS desktop softwarer (à la QGIS) to get some basic information on my raster file. Since switching inbetween two softwares is annoying
Hello,
today I’d like to draw your attention to an upcoming, interesting R package for handling spatial data.
Following the successful release of the sf package, which simplifies and optimizes many aspects of handling spatial (vector) data in R by implementing simple features as native R data (alongside with many R convenience
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
Hey folks,
sf is an rather new R package for handling and analyzing spatial data in R. While various R packages are available that provide classes and methods for spatial data (e.g. sp, rgdal and rgeos), sf, which is developed by Edzer Pebesma and others, is intended to gradually replace
Hey there,
I wanted to share the announcement of a potentially interesting event hosted by Boundless Geo with you:
A webinar about “Using Open Source to Help Feed the World” will be held on Tuesday, January 31, at 11 am PST (1 pm CST / 8 pm CET).
The main webinar takeaways are:
Hey there!
Today I would like to do a small comparsion between three raster processing tools:
R, Python (rasterio) and GDAL.
When I started with GIS and raster processing, I didn’t really pay much attention to the performance of the scripts I wrote and tools I used. But now, working