Remote Sensing Applications in Hydrology part of Teaching Computation with MATLAB:Teaching Materials:Activities
Emad Habib, University of Louisiana at Lafayette
The module offers background content on the fundamentals of remote sensing, but also integrates a set of existing online tools for visualization and analysis of satellite observations. Specifically, students are ...

Signal processing and earthquake triggering part of Teaching Computation with MATLAB:Teaching with MATLAB 2015:Teaching Activities
Jackie Caplan-Auerbach, Western Washington University
In this exercise, written for an undergraduate seismology class, students use MATLAB to analyze waveforms from the 2004 Sumatra M9.0 earthquake, as they were recorded on three seismic stations in Alaska. Two of ...

Modeling River Long Profiles part of Teaching Computation with MATLAB:MATLAB Workshop 2016:Teaching Activities
Andrew Darling, Colorado State University
This project or multi-lab activity is designed to teach students about modeling landscape change caused by rivers over large time and spatial scales (e.g., the incision of Grand Canyon). Basic working knowledge of ...

Working with Spatial Data in MATLAB part of Teaching Computation with MATLAB:MATLAB Workshop 2020:Activities
Andrew Fischer, university of tasmania
Students are introduced to two spatial data models, vector and raster. By the end of this activity, students will be able to describe the two different data models and create, import and visualize various spatial ...

Calculating and using Unit Hydrograph using Matlab part of Teaching Computation with MATLAB:MATLAB Workshop 2018:Activities
Negin Hayatbini, University of California-Irvine; Alexandre Martinez, University of California-Irvine
We are using the concept of Unit Hydrograph to understand the behavior of a watershed following a rain event and to calculate the runoff following any rainfall event.

Using the seawater toolbox part of Teaching Computation with MATLAB:Teaching with MATLAB 2015:Teaching Activities
Alexander Stine, San Francisco State University
In this lab, students learn to use the matlab seawater toolbox and use this tool to test a number of things that I have asserted to them in class with regard to the contribution of temperature and potential ...

Using Autocorrelation and Cross-correlation to Explore Links Between River Discharge and Regional Climate part of Teaching Computation with MATLAB:Teaching with MATLAB 2015:Teaching Activities
Peter Adams, University of Florida
Students conduct autocorrelation and cross-correlation analyses on river discharge and climate indices to test the hypothesis that coastal streams draining mountainous terrain are strong indicators of climatic ...

Using Univariate Statistics to Understand Regional Drainage Patterns part of Teaching Computation with MATLAB:Teaching with MATLAB 2015:Teaching Activities
Peter Adams, University of Florida
In this activity, students use MATLAB to compare two data sets of organic matter content in order to provide quantitative evidence that tests the null hypothesis that sediment samples have the same fluvial source. ...

The 'Keeling Curve' and analyzing time series data in MATLAB part of Teaching Computation with MATLAB:MATLAB Workshop 2016:Teaching Activities
Gareth Funning, University of California-Riverside
In this exercise, we analyze the trends in the CO2 record monitored at Mauna Loa, (the 'Keeling Curve'). This is an exercise in data handling, interpolation, trend estimation and extrapolation.

Sensitivity of Parameters in Chaotic Systems part of Teaching Computation with MATLAB:MATLAB Workshop 2019:Activities
Namyong Lee, Minnesota State University-Mankato
In this computer lab activity, students explore and discuss the nature of the sensitivity of parameters in a chaotic system. As a result, they understand the challenges of numerical simulation and/or parameters ...