Data, data everywhere

This week Planet successfully launched 88 of its doves, taking another massive step forward in mapping the entire planet daily. I have written about the dramatic increase in temporal resolution data several times in the past. It is worth repeating though – I think – that while Remote Sensing is not new, the level of Read more about Data, data everywhere[…]

Earth Observation: Big Data

What is Big Data? Big data is a term for data sets that are so large or complex that traditional data processing application softwares are inadequate to deal with them. In an event this week in central London I heard big data described as “non-spreadsheet” data. I think Earth Observation (EO) data could fit Read more about Earth Observation: Big Data[…]

Using Earth Observation data without ever looking at a satellite image

To enable a user to use space derived data without ever actually seeing a satellite image. To move from pixels to analytics. To break through the ‘that’s a nice image – but so what?’ barrier? To add value. I wrote about my thoughts on this last week; Six thinking hats of Earth Observation the need to Read more about Using Earth Observation data without ever looking at a satellite image[…]

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[…]

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[…]