The data for Sentinel 5P was made available on 11th July 2018. #BreakingSince yesterday #Sentinel5P #opendata is available for downloadWith a resolution of up to 7×3.5 km, it enables detection of air pollution over individual cities.This high spatial resolution is key to locate the origin of pollutants and identifying #pollution hotspots pic.twitter.com/ncoP2ZkCmP — Copernicus EU… Read More »Sentinel-5P and Python
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
Photo from unsplash.com https://unsplash.com/photos/oxgK2f_rxDc Another quarter has flown by. Following on from my Q1 review earlier this year, it’s time to take a look at the main events of Q2. If you missed my Q1 review it is available below. Earth Observation Q1 2018 review If you’d like an overview of the events in 2017… Read More »Earth Observation Q2 2018 review