Earth science observations often involve complex measurement procedures, highly specialized measuring devices, and sophisticated data processing. The design of geoscientific data- collection programs and experiments, their execution, and evaluation of the results are all complex and expensive tasks that require a significant amount of preparation. This practical (part of the master's course Introduction to Geoscientific Data Analysis) introduces methods of geoscientific data acquisition using MATLAB in combination with inexpensive data acquisition hardware such as sensors in smartphones, sensors that come with the Lego Mindstorms set, webcams with stereo microphones, and affordable spectral and thermal cameras.
The course includes exercises in data acquisition, such as using a smartphone to acquire stereo images of rock specimens from which to calculate point clouds, using visible and near-infrared spectral cameras to classify the minerals in rocks, using thermal cameras to differentiate between different types of surface such as between soil and vegetation, localizing a sound source using travel time differences between pairs of microphones to localize a sound source. Other exercises include quantifying the total harmonic distortion and signal-to-noise ratio of acoustic and elastic signals, acquiring and streaming meteorological data using application programming interfaces, wireless networks, and internet of things platforms, determining the spatial resolution of ultrasonic and optical sensors, and detecting magnetic anomalies using a smartphone magnetometer mounted on a Lego Mindstorms scanner.