Robin's Blog

Archive for the ‘Py6S’ Category

What’s new in Py6S

The last few months have seen a flurry of activity in Py6S – probably caused by procrastinating from working on my PhD thesis! Anyway, I thought it was about time that I summarised the various updates and new features which have been released, and gave a few more details on how to use them. These […]

Py6S now has Continuous Integration & better tests

As a Fellow of the Software Sustainability Institute I’m always trying to make my software more sustainable – and one element of this is ensuring that my software works correctly. Although crashes might annoy users (which generally isn’t a good plan if you want your software to be well-used), a far worse problem is your […]

New Py6S and RTWTools websites

This is just a quick Public Service Announcement, to let you know that my two main pieces of software have got fancy new websites. Py6S (my Python interface to the 6S Radiative Transfer Model) and RTWTools (my set of extensions for ENVI) are now hosted at: www.py6s.rtwilson.com www.rtwtools.rtwilson.com For those of you interested in the […]

van Heuklon Ozone model implementation in Python

As part of my PhD I wanted to use a simple model which would give me an estimation of the atmospheric ozone amount given a location and time of year. A simple model to do this was created by van Heuklon in 1979, and was described in a delightfully simple paper (unfortunately not freely available […]

Can I atmospherically-correct my images with Py6S?

I’m a big fan of Matt Might’s blog, and thought I’d implement one of his tips for blogging as an academic – namely Reply to Public. I’ve had a number of emails from Py6S users asking me questions about how to atmospherically-correct entire satellite images with Py6S – so I thought ‘d respond online, so that […]

My first academic paper – on Py6S

Another exciting update for this new year: my first academic journal paper has been published! It’s called Py6S: A Python interface to the 6S Radiative Transfer Model, and is published in Computers and Geosciences. If you’re reading this from a university with a subscription to Computers and Geosciences then you can read it at ScienceDirect – […]