QGIS for Mining & Exploration: Satellite Imagery in QGIS (12 December)

QGIS workshop for mining & exploration professionals

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Join us for this half-day session on using and processing satellite imagery in QGIS, led by Grant Boxer.

The workshop

This short course is designed for those who would like to know what free satellite data is available for use in mineral exploration or other earth observation activities. A brief overview will be given of the various satellite data sets available.

Participants will be guided through how to source, download, and process ASTER and Sentinel 2 imagery and produce RGB images of various spectral bands to enhance features of interest.

We'll explore using ASTER and Sentinel 2 data in various workflows, covering image processing, band ratioing, basic mineral mapping and PCA analysis for enhancing geological and other surface features.

Register logins at the USGS here and for the European Space Agency Sentinel portal here. This is required to allow for searching and downloading data.

Who should attend

Geologists, geophysicists, earth scientists, environmental scientists, anyone monitoring earth surface processes.


Mammoth Geospatial is an official QGIS Certifying Organisation. Successful participants in our workshops will receive an official QGIS certificate. The certificate program provides a mechanism to financially support the QGIS project.

About QGIS

Mining & exploration companies worldwide are adopting QGIS because it's powerful, easy to use, and free.

QGIS is a free and open source GIS that runs on all major operating systems. It’s available in about 40 languages and used worldwide by a large and growing user community. New features are added at a dizzying pace by a talented global team of developers.

QGIS is professional grade and can do the majority of data import, data display, analysis and map production required by today’s geoscientists. A wide variety of free geological symbols and patterns are available for mapping, and a growing number of plugins are available to support your geoscience workflow.