I happened across an interesting Github repository from Samapriya Roy the other day for creating custom basemaps to add to your Google Earth Engine map. Traditionally when using or sharing your work in GEE you have the option between a standard Google cartographic basemap or the ‘satellite’ view ( in quotations here since it’s my … CONTINUE READING
Category: Python Page 1 of 2
GDAL is a powerful geospatial processing library that backups many of the geospatial software you are using. The full list can be found here.
In this post, we will look at a very basic example of reading the raster file including all the bands and looping through the bands to get the statistics (Minimum, … CONTINUE READING
Last week, I was doing some testing using the Python API interface for sentinel-1 toolbox with Snappy and the SNAP desktop to see the time taken by each of them. The workflow for processing the data is described here. The results were astonishing. Each and every steps were significantly slower, especially the co-registration process … CONTINUE READING
In this tutorial, we are going to perform the mosaicing of two adjacent Sentinel-1 scenes using Snappy, the Python interface for SNAP.
If you haven’t, follow along this tutorial to see how you can setup the development environment for SNAP in your machine. To overview, the basic steps that we cover in this tutorial are:… CONTINUE READING
The back-end on SNAP has been written in Java. But good news to Python enthusiast, they provide Python interface to Java API. It’s through their module called Snappy. In my previous tutorial, I showed you how you can install snappy in your machine and get geared up for the development work. And before we … CONTINUE READING