A look at the growth and the polarity of sentiment of Earth Observation and Remote Sensing since 2008, with Python and Pandas

  About 18 months ago I looked at tweets from Twitter containing the phrases Earth Observation or Remote Sensing. Primarily I did this after the first Future EO event that ESA held. You can have a look at the post here: #FutureEO and twitter data mining With the next future EO event this November I Read more about A look at the growth and the polarity of sentiment of Earth Observation and Remote Sensing since 2008, with Python and Pandas[…]

blobs on satellite data

Blob detection on Satellite Imagery, using OpenCV

OpenCV is a fantastic tool for quickly processing satellite data. It is incredibly powerful and very fast. It has also just recently been updated; the full announcement is here. Previously I used Image Segmentation with the Watershed Algorithm to successfully map circular irrigation features using OpenCV. Like many geospatial/image processes (where there are multiple ways Read more about Blob detection on Satellite Imagery, using OpenCV[…]

2016 – A year of progress in Earth Observation

For me 2016 marked a point when the term ‘Remote Sensing’ was used less frequently and ‘Earth Observation’ significantly more. Make of that what you will. With the impending deluge of data (not sure at what point we move from impending to actual) the race is now on to derive information from the pixels. You Read more about 2016 – A year of progress in Earth Observation[…]

Template matching with Earth Observation Data

Template matching is a useful technique. Some common uses include manufacturing as a part of quality control, a way to navigate a mobile robot, or as a way to detect edges in images. But can techniques such as these be useful for data captured from satellites? I am especially interested here in Optical data, but Read more about Template matching with Earth Observation Data[…]

Machine learning Landsat / Sentinel data

What changes can be measured using Landsat and/or Sentinel-2 data? In large areas change detection (land use for example) is commonly used for these data sets. If companies like Orbital Insights are counting cars, using shadows from floating oil tanks to determine capacity and measuring levels of construction, what smaller objects and data analytics can be Read more about Machine learning Landsat / Sentinel data[…]

EO data deluge

September 2016 was a busy month for the launch of Earth Observation satellites. Terrabella launched 4 more of its SkySats, bringing the total to 7. We’re excited to share the first light images from our four newest high-resolution imaging satellites, SkySat-4-7! https://t.co/RV5GyaZMPF pic.twitter.com/WbMOGjaG78 — Terra Bella (@terra_bella) September 27, 2016 On the same launch vehicle Read more about EO data deluge[…]

Commercialisation of space

I previously wrote about the Geospatial 2.0 workshop held earlier this year on the Space Campus in Harwell. http://www.acgeospatial.co.uk/blog/geoworkshop/ Ever since this workshop I have started seeing more articles and I have become much more aware of the ‘commercialisation of space’. In April this year The Economist wrote a leader on Space Exploration. machine-learning can Read more about Commercialisation of space[…]

How low can EO go?

The IKONOS satellite, launched in 1999 was the first satellite to offer 1m spatial resolution imagery to the public. It was soon followed by QuickBird; launched in 2001 it provided 60cm imagery. These satellites were, at the time, the workhorses for anyone requiring high resolution imagery. What goes up must come down. #retrospective on #Quickbird Read more about How low can EO go?[…]

3 reasons to revisit EO again for Oil and Gas

1 History, a chance to look again at EO EO data today should be a more attractive proposition than it has previously been. I looked at an article from World Oil this week, written in 2002. It is worth a read to see how the O&G sector was using EO 14 years ago. “Data prices Read more about 3 reasons to revisit EO again for Oil and Gas[…]

Geospatial 2.0 Workshop

“What is the crossing point of machine learning and Earth Observation?” was the question asked this week at the Satellite Applications Catapult Geospatial 2.0 event at the Harwell campus near Oxford. https://sa.catapult.org.uk/news-events-gallery/events/geospatial-2-0-workshop/ Welcome to everyone attending our Geospatial Workshop today. Perfect clear sky's for Earth Observation! 🌍 pic.twitter.com/LR6lYFfQYb — SatApps Catapult (@SatAppsCatapult) July 13, 2016 Read more about Geospatial 2.0 Workshop[…]

Let’s make GIS training more effective

Can a GIS Technician eventually become the CEO of a large company? GIS training industry today Below is the training model for generic GIS training today (July 2016).     Many vendors will also offer a training service where they will: Come to you, and/or Build the course tailored to your needs. I don’t have Read more about Let’s make GIS training more effective[…]

Geofencing and Exploration

The aim of a seismic survey is to map the subsurface in the most detailed and efficient way, mapping the reservoir so that critical decisions, such as choosing a drilling location, can be made with increased confidence. Definition of the target and an understanding of the quality of data that can be achieved in the Read more about Geofencing and Exploration[…]