I started blogging on www.acgeospatial.co.uk in May 2016 and since then (at the time of writing in January 2020) I have gone on to write over 120 blog posts. I write loosely around the topic of Earth Observation and Satellite imagery but also more generally on Geospatial topics. GIS is my background. I am a… Read More »Geospatial Python Course V1
This is the last EO quarterly news of 2019. I try and use these posts to record what happen in the general sphere of Earth Observation / Geospatial across each quarter. If you want a more regular news please check out the #scenefromabove podcast which gets a new episode approximately once every 3 weeks. If… Read More »Earth Observation Q4 2019 review
If you are a Geospatial Programming beginner, one of the quickest ways to get started (once you have grasped the basics) is to plot some data. Data analysis often begins with inspecting and plotting data. It is a great way to check that you have the data correctly loaded. With geospatial data we have more… Read More »Simple plotting Rasters and Vectors (and clipping) using Python
For scaling projects, speed is one of the main things that clients want. I like to use Python for rapid prototyping of an idea or a workflow and then I try to bring it to scale. When your process performs a lot of read/write or input/output (I/O) operations, then speeding this up can have a… Read More »Speeding up GeoPanadas IO with Geofeather
Another quarter has flown by. So welcome to EO news Q3 2019! If you are interested in the major EO related events in Q1 and Q2 2019, please visit the links below: Earth Observation Q1 2019 review Q3 2019 Launches Have small sats reached maturity? Analysis | Are smallsats entering the maturity stage?… Read More »Earth Observation Q3 2019 review
GeoPandas is great. If you are learning Geospatial Programming and work with vector data then you could do alot worse than giving GeoPandas a go. I’ve written a little about GeoPandas before; so first a couple of links. Installing a Python Geospatial work environment that includes GeoPandas: Python for Geospatial work flows part 1: Use… Read More »8 tips using GeoPandas and Python for Geospatial People
In part one of this series I looked at how you can run a script in Python via a Graphical User Interface (GUI). I looked at some of the pros and cons of doing this and then walked through a simple example. If you want to recap or revisit the link is below: Running a… Read More »Running a script via a GUI in Python part 2 – logging
I started writing these reviews two years ago, really to get a feel of the pace of change in Earth Observation / Geospatial today. If you are interested in the major EO related events in Q1 2019 please visit the link below: Earth Observation Q1 2019 review Q2 2019 Launches Asia continues to be a… Read More »Earth Observation Q2 2019 review
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
I started writing these reviews two years ago, really to get a feel of the pace of change in Earth Observation / Geospatial today. If you are interested in the major EO related events in 2017 and 2018, please go to the links below: Earth Observation Q4 2018 review and Q4 2017 Earth Observation Q1… Read More »Earth Observation Q1 2019 review
I wanted to put a brief guide together to show how simple it can be to run a script in Python via a Graphical User Interface (GUI). I have thought about this idea for a while; I’ve wondered whether non-coders see coding as building ‘windows’ type graphics. Other than writing some simple scripts for QGIS… Read More »Running a script via a GUI in Python, part 1
This is part three of the Julia for Geospatial series. In part one, available here, I introduced Julia and showed you how to install it, plus how to get the packages you will need to work with raster data. In part two, available here, I directly compared the speed of Python and Julia by opening… Read More »Julia for Geospatial part 3 – reading, displaying and writing raster data
Last time, I introduced Julia and walked through some basic instructions on how to setup. If you missed it go here. Compared to my first experience of Python, installing Julia was a breeze. In this series I am exploring how suited Julia is for Geospatial programming. This is not to discourage you away from other… Read More »Julia for Geospatial part 2 – speed test