Plotting raster data can be done in a few lines of code with Matplotlib. Adding a colour bar (color bar) associated to your data can be as simple as plt.colorbar() for example: This is a nice quick way of displaying a scale for your data. I’ve often wanted to plot discrete (and not continuous) colour… Read More »Colour bar for discrete rasters with Matplotlib
Jupyter Notebooks or Jupyter Labs are everywhere at the moment. And rightly so; there are so many things you can do with them, such as this, this and this. These three pages were just the first three returned after searching google for “cool things you can do with Jupyter notebooks“ This post is a simple… Read More »Building your own collection of functions and using them in Jupyter
I’ve written about Sentinel-5P several times in the past. You can check these posts out below: Why is Sentinel-5P important? Sentinel-5P and Python The Sentinel-5P and Python post is an outline on how to read in a Sentinel-5P netcdf file and plot it. The notebook (code) is available here. I wanted to expand on this… Read More »Sentinel-5P and xarray
I saw this tweet on May 1st: Inspired by @ZachACole's beautiful illustrations and @jakevdp's pulsar plots, I just released a library to make "ridge elevation plots" with Python and @matplotlib. Let me know if you make something nice! https://t.co/X3XLnA6qAM pic.twitter.com/UfApYUDTH8 — Colin Carroll (@colindcarroll) May 1, 2019 I’ve seen these plots created before and find… Read More »Ridge map plots using Python
There are so many ways to download Sentinel 2 data. I am not going to list them all here, but most involve an interaction with a website that contains a map. This is fine for many users. Sometimes though it is preferable to access via the command line or a script and again there are… Read More »sentinelsat – using Python to search and download Sentinel 2 data
Last week I attended the annual GRSG conference (Geological Remote Sensing Group) in London. At the GRSG conference a great deal is crammed into 3 days – talks, papers, networking and workshops. This year I put together a brief workshop on Python for image processing. If you’d like the notebook that I presented you can… Read More »Python Workshop at GRSG
GBDX notebooks are a great way of acessing a vast array of satellite data. You can get yourself a trial account here: https://notebooks.geobigdata.io/ No more downloading satellite imagery, just process it in the cloud. When you think about the sheer volume of satellite data that Digital Globe has and its size to download, processing it… Read More »Community GBDX Notebooks
In part 1 I looked at how to set up a Python 3 environment for use with Geospatial Workflows. If you want to recap take a look here In part 2 we will look at Jupyter Notebooks. Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages.… Read More »Python for Geospatial work flows part 2: Use Jupyter Notebooks
18 months ago I wrote about unsupervised classification of randomly extracted point data from satellite data. I have been meaning to follow it up with showing how straightforward it is to use the cluster algorithms in Sklearn to classify Sentinel 2 data. I have made this blog into a Juypter Notebook which is available here.… Read More »K-means in Python 3 on Sentinel 2 data
GeoPandas is a super simple way to work with GIS data using Python. It sits nicely in Jupyter Notebooks as well. This blog is all about displaying and visualising shapefiles in Jupyter Notebooks with GeoPandas. I am going to use a subset of the hexagonal Crop Map of England (CROME) and visualise it in a… Read More »Using GeoPandas to display Shapefiles in Jupyter Notebooks
I am always on the look out for an easy way to build simple web maps. Ideally I would like to perform OpenCV in the browser but I am not aware of that possibility at present. I work with computer vision and satellite imagery a great deal and have written several blogs on the subject.… Read More »Combining OpenCV and leaflet for simple web mapping
Last year I heard about Colaboratory by Google and, now that I am using Jupyter Notebooks, it seems the perfect opportunity to explore it further. I previously wrote about how using Jupyter Notebooks is a perfect match for Satellite imagery processing. If you would like to read about that then the post is here. Otherwise,… Read More »Colaboratory notebooks and GDAL
If you work with Geospatial software you cannot ignore the Shapefile. Whatever your thoughts on them (and it does polarise opinion in the GIS world; look for #Teamshapefile or #switchfromshapefile), I feel that I am ultimately driven by whatever a client would prefer. More often than not that is a preference for a Shapefile. FME… Read More »How many Shapefiles on my computer?
I have been meaning for the last 6 months to write about Jupyter Notebooks and why they are the perfect toolbox for working with Python and Satellite Imagery. I like Notepad ++ a great deal, it is simple and easy to use and will remain my default choice for the time being for writing code.… Read More »Jupyter Notebooks and Satellite Imagery