leaflet

Combining OpenCV and leaflet for simple web mapping

I am always on the look out for an easy way to build simple web maps. Ideally I would like to perform OpenCV in the browser but I am not aware of that possibility at present. I work with computer vision and satellite imagery a great deal and have written several blogs on the subject. Read more about Combining OpenCV and leaflet for simple web mapping[…]

colaboratory satellite

Colaboratory notebooks and GDAL

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 about Colaboratory notebooks and GDAL[…]

How many Shapefiles on my computer?

If you work with Geospatial software you cannot ignore the Shapefile. Whatever your thoughts on them (and it does polarise opinion in the GIS world; look for #Teamshapefile or #switchfromshapefile), I feel that I am ultimately driven by whatever a client would prefer. More often than not that is a preference for a Shapefile. FME Read more about How many Shapefiles on my computer?[…]

Fastest image reader? Four ways to open a Satellite image in Python

I wasn’t sure what to call this post… “The Fastest Way to Read a Satellite Image in Python”? “Using Magic Functions in Jupyter Notebooks”? “Four Ways to Read Images into NumPy Arrays”? There are several ways; I’ve not even looked at PIL here, to read your Satellite data into a NumPy array. After all, if Read more about Fastest image reader? Four ways to open a Satellite image in Python[…]

svm satellite

Support Vector Machines – on recognizing pixel clusters in satellite data

Scikit-learn, the machine learning library built for Python over 10 years ago is an excellent resource for estimating data and can integrate into geospatial workflows. Helpfully, when choosing an estimator, scikit-learn supplies an interactive diagram to choose the best estimator for the job. One of the big things about machine learning is the need to Read more about Support Vector Machines – on recognizing pixel clusters in satellite data[…]

Earth Observation Sentinel2

Interactive Trackbar to edge detect Sentinel 2 data

The user interface in OpenCV has a Trackbar. This is a really useful feature for interacting with images. By adjusting the slider the user can manipulate the image allowing for the adjustment of threshold values until the image display is optimised. When I wrote about interactive image segmentation I noted one of the critical things Read more about Interactive Trackbar to edge detect Sentinel 2 data[…]

Beginners guide to user Interaction with OpenCV in Python

I have been working with OpenCV for a while now and I still find the speed of results very impressive. It makes for a compelling case for its use in image processing. Computer Vision, at least to me, represents such an incredible opportunity for Remote Sensing specialists as well as non-specialists. I have been meaning Read more about Beginners guide to user Interaction with OpenCV in Python[…]

Interactive Image Segmentation part 3 – Automation

This is the 3rd part in a series on interactive image segmentation. In part 1 I looked at how thresholding an image of coins has the potential to help map circular fields in the desert. In part 2 I applied this watershed algorithm to satellite data and created an output shapefile. In part 3 I Read more about Interactive Image Segmentation part 3 – Automation[…]

Interactive Image Segmentation part 2

This is the second part of a blog series on mapping circular fields. In part one I talked about the challenges for mapping in Desert environments and about how thresholding and the Watershed Algorithm can be used to detect coins – this offers a potentially useful way to map circular fields. These are a challenge Read more about Interactive Image Segmentation part 2[…]

Interactive Image Segmentation part 1

A few weeks ago I saw this tweet from UrtheCast We wish you a happy #EarthDay with this stunning #DEIMOS1 view of crop circles in the desert in #SaudiArabia! #PrecisionAg #Geoanalytics pic.twitter.com/szcSptjHMS — UrtheCast (@UrtheCast) April 22, 2017 It is a stunning image, captured by Deimos 1, of crop circles in Saudi Arabia. I really Read more about Interactive Image Segmentation part 1[…]

Sat Colours

I’ve been thinking about how colour could be displayed for a Satellite Image. The Earth is beautiful. In some software, in the legend, a Satellite image is displayed as below Image from http://webhelp.esri.com/arcgisexplorer/2500/en/legend_window.htm It does contain some useful information, ie what band is being displayed Red, Green and Blue, but it tells us very little Read more about Sat Colours[…]