Image CLAHE Sentinel2

Contrast Limited Adaptive Histogram Equalization (CLAHE) with Sentinel 2a

This week I have been thinking about image stretching. I want to start with a quote taken from the concluding remarks of Image Processing and GIS for Remote Sensing. Image Processing can never increase the information provided in the original image data, but the use of appropriate image processing can improve visualisation, comprehension and analysis Read more about Contrast Limited Adaptive Histogram Equalization (CLAHE) with Sentinel 2a[…]

5 Awesome things about Google Earth Engine

This week I saw an excellent overview of Google Earth Engine Google Earth Engine docs I’ve previously written about Google Earth Engine here. If you want a basic guide, take a look. Processing images on the Google Cloud It is worth repeating from my previous article, “You can sign up / request access here https://earthengine.google.com/ Read more about 5 Awesome things about Google Earth Engine[…]

Extracting values from satellite imagery

Last week I wrote about using Earth Observation data without ever looking at a satellite image; extracting the values from an image and then presenting the data in an informative way. Using Earth Observation data without ever looking at a satellite image Just how easy is it to extract the values from images? Sentinel 2a Read more about Extracting values from satellite imagery[…]

Six thinking hats of Earth Observation

I have been reading Edward de Bono’s Six Thinking Hats – “Run better meetings, make faster decisions”. Having not come across this book before I have become increasingly drawn into this idea of the hats and their associated ways of thinking. The idea is that you put on one of these hats at a time Read more about Six thinking hats of Earth Observation[…]

Reclassify and Numpy

I have previously written about automatically edge detecting. Using OpenCV is a nice way of quickly running the edge detect and getting some information back about the image. You can read about the Canny edge detection algorithm here Here is how Wikipedia details the process of the canny edge detection (if you didn’t click the Read more about Reclassify and Numpy[…]

GIS Petroleum User Group

Last week I attended the ESRI Petroleum user group in London. I think just over 200 people attended. I missed last year’s event but I have been present at this regular event many times in the past. Many thanks to the organisers – they do an incredible job. Pleasingly, there were plenty of Earth Observation Read more about GIS Petroleum User Group[…]

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[…]

Have GIS ‘things’ changed that much?

I have a book that I bought during my master’s degree in 2001, entitled “Fundamentals of spatial information systems” written by Robert Laurini and Derek Thompson in 1992 https://www.amazon.co.uk/Fundamentals-Spatial-Information-Systems-APIC/dp/0124383807, I have the 1999 edition. Chapter 1, Geomatics, begins with the following statement: “Today in Redlands, California, a group of people is building a digital data Read more about Have GIS ‘things’ changed that much?[…]

GIS to manage exploration risk

A Geographical Information System is ideally suited to manage many of the risks associated with exploration and oilfield activities. Risks such as, but not limited to – Accidents, dangerous roads, steep inclines and slopes – In project execution, doing something you were not supposed to do and not knowing you did it – Having to Read more about GIS to manage exploration risk[…]

Using GIS to scout a land seismic survey

A 3D land seismic crew has the potential to be a big operation. How big? “A land seismic survey conducted in 2005 had 400,000 sensors per square kilometer; by 2009, that number had reached 36 million. From 2005 to 2009, the average volume of data gathered on an eight-hour shift grew from 100 gigabytes to Read more about Using GIS to scout a land seismic survey[…]

Reaching everyone with maps

I watched a video this week, a presentation given by Brian Boulmay of BP: It is well worth watching, he talks about BP’s One Map Platform. He wants to reach the whole community within his organisation with a map. There is an interesting quote mid-way through (I have paraphrased slightly below) “We queried all desktops Read more about Reaching everyone with maps[…]