EOLink 0.2.0: BrightLink project

If you like this content consider tipping in ETH, LINK or an ERC20 stablecoin at this address: 0xf9f6849230cBe10200B43dB103511b778898e71C As explained in my post here, with Ethereum's merge on the horizon it is time to explore its potential for environmental applications. BrightLink is a proof-of-concept system that incentivizes hypothetical communities to "brighten" their local environment as … Continue reading EOLink 0.2.0: BrightLink project

AI Adventures in Azure: Blob storage

My AI for Earth project is quite memory intensive so I have been learning about ways to take the data storage off the local disk and into the cloud, while still maintaining on the fly access to crucial files on my virtual or local machine. My classification problem started off requiring just a few GB … Continue reading AI Adventures in Azure: Blob storage

Machine Learning: An unexplored horizon for Polar science

I recently published an article in Open Access Government about the potential for machine learning technologies to revolutionise Polar science, with focus on optical remote sensing data from drones and satellites.  You can read it online  or download it from OAGov_Oct18  

New TCD paper: Dark ice on Greenland Ice Sheet

Our new discussion paper, led by Black and Bloom PDRA Andrew Tedstone, examines in detail why there is a stripe of dark, fast-melting ice on the Greenland Ice Sheet, particularly in the south-west. This 'dark zone' is clearly visible in satellite imagery of the Greenland Ice Sheet and is important because darker ice melts faster. … Continue reading New TCD paper: Dark ice on Greenland Ice Sheet

Svalbard UAV tests

Having made successful UAV test flights at home in the Peak District, we have relocated to Svalbard for a week to test the equipment in the most challenging possible conditions. We are flying in temperatures as low as -10 C, in gusty wind and after pulling the UAV to the field site in its flight … Continue reading Svalbard UAV tests

Challenges in quantifying ‘bioalbedo’

On Wednesday last week I traveled to the University of Bristol to give a seminar at the Centre for Glaciology. I presented a new physical model for the spectral albedo of ice with algal growth, along with some field data from 2016. Preparing for the talk, discussions with fellow researchers and insightful questions in the … Continue reading Challenges in quantifying ‘bioalbedo’