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Earth Observation Q3 2018 review

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Another quarter has flown by. Following on from my Q1 & Q2 reviews earlier this year, it is time to take a look at the main events of Q3. If you missed my Q1 or Q2 review they are available below. Earth Observation Q1 2018 review Earth Observation Q2 2018 review   If you’d like… Read More »Earth Observation Q3 2018 review

Python for Geospatial work flows part 2: Use Jupyter Notebooks

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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

Sentinel_5P

Sentinel-5P and Python

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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

earth observation

Earth Observation Q2 2018 review

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

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Earth Observation Q1 2018 review

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I started writing these reviews a year 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, please go to the link below: Q4 2017 Earth Observation Q1 2018 China launched two Superview-1 EO satellites into… Read More »Earth Observation Q1 2018 review

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Scene from above Podcast

Since late last year Alastair Graham and I have been working together on a Podcast. It is something we have both been keen to explore for a while and it certainly felt that the time was right. The aim, at least for me, was to produce something that I would want to listen to. To… Read More »Scene from above Podcast

every_sensor

Every sensor will be used

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This post is a copy of original posted below. I was paid to guest write this. https://medium.com/@mail_83112/every-sensor-will-be-used-d27cf0223f69 Pool your information from anything and everything — Inform decision making — Let the most appropriate person make the final decision… namely, the user Last time I looked at how data from space, particularly Earth Observation data, is growing at a staggering… Read More »Every sensor will be used

colaboratory satellite

Colaboratory notebooks and GDAL

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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

Using space technology to quantify data part 1

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This post is a copy of original posted below. I was paid to guest write this. https://medium.com/@mail_83112/using-space-technology-to-quantify-data-part-1-519d397049aa Earth Observation data is part of the foundations of MIS; you could say it is at their core. Being fundamentally a Geospatial company, all of their insights are built upon a layer(s) of remotely sensed data. I believe… Read More »Using space technology to quantify data part 1