Posts in Category: software

Cloud-masking Sentinel-2

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

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Raster Info Tool based on Shiny R

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

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Efficient import of large csv files into R

Hey everybody,

after a short summer break we are ready to emerge from several weeks in the doldrums 🙂

If you are working with large data sets stored in .csv format, the files are likely to comprise hundreds of MB or several GB of data.
Importing these csv files using the common read.csv or

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How to install ESA SNAP on Ubuntu Linux

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.


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Simple features for R

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

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Benchmark: R vs. Python Rasterio vs. GDAL

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

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