GIS is a tool that enables us to make better, faster decisions about the world around us.
Go to my latest blog postEO data today should be a more attractive proposition than it has previously been. We are at a turning point, spatial and spectral resolution is improving and temporal coverage is reaching levels never previously reached. There has never been a better time to look into utilising EO data for your projects.
Three reasons to look at EO data again
Temporal EO data in the Oilfield (Planet)
6 thinking hats of Earth Observation!
Machine Learning using Earth Observation is the new frontier. The change is in the quantity and quality of data. Copernicus and Landsat data are freely available to the public. The number of high resolution images (sub 1m pixels) is increasing and the price is falling.
Support Vector Machines on pixel clusters (pan-sharpened Sentinel2 with Planet)
Permit databases, ones that list landowners and contain information about whether permission has been granted or not, are very useful in planning a seismic survey. GIS presents an efficient way of working with permits.
Drive engagement with all users, present information in a clear simple way and produce meaningful analytics
5 way to increase value for GIS in Oil and GasLearning. Whatever you do make sure you tailor it to your needs!
Advanced Geospatial Skill Acquistion
ESA Coperncius and USGS/NASA with Landsat are changing the way we access satellite data
GIS is an investment and one that offers significant returns. Making web GIS simple and inuitive will put information into the hands of everyone
Underestimate the value of data management?
Have GIS things changed that much?
Machine Learning, Computer Vision, Cloud Computing and GPU availability is changing the traditional view of 'remote sensing'
Progress 2016 with 6 case examplesEdge Detecting with OpenCV using Planet API as case study
Template Matching is easier than you think using OpenCV
Processing EO data in the cloud is much easy than you may think
Spectral Processing using Python
Using Python to extract values from Raster
Google Earth Engine is an amazing resource
Get in contact via email, i'd be delighted to hear from you Andrew Cutts