Getting started with Structure from Motion (SfM) photogrammetry part of Enhance Your Teaching:Teaching with Online Field Experiences:Activities
Beth Pratt-Sitaula, EarthScope Consortium
Structure from Motion (SfM) photogrammetry method uses overlapping images to create a 3D point cloud of an object or landscape. It can be applied to everything from fault scarps to landslides to topography. This ...

3D View from a Drone | Make a 3D Model From Your Photos part of Geodesy:Activities
Shelley E Olds, EarthScope Consortium
Using cameras mounted to drones, students will design and construct an experiment to take enough photos to make a 3-dimensional image of an outcrop or landform in a process called structure from motion (SfM). This activity has both a hands-on component (collecting data with the drone) and a computer-based component (creating the 3-dimensional model).___________________Drones can take photos that can be analyzed later. By planning ahead to have enough overlap between photos, you take those individual photos and make a 3-dimensional image!In this activity, you guide the students to identify an outcrop or landform to study later or over repeat visits. They go through the process to plan, conduct, and analyze an investigation to help answer their science question.The Challenge: Design and conduct an experiment to take enough photos to make a 3-dimensional image of an outcrop or landform, then analyze the image and interpret the resulting 3-d image.For instance they might wish to study a hillside that has been changed from a previous forest fire. How is the hillside starting to shift after rainstorms or snows? Monitoring an area over many months can lead to discoveries about how the erosional processes happen and also provide homeowners, park rangers, planners, and others valuable information to take action to stabilize areas to prevent landslides.

Sandy Hollow Virtual Field Geology Exercise part of Enhance Your Teaching:Teaching with Online Field Experiences:Activities
Andrew Laskowski, Montana State University
This is a Google Earth based virtual field exercise focused on Sandy Hollow, near Block Mountain and McCartney Mountain in southwest Montana. This is a classic field locality in the Montana portion of the Sevier ...

Geological Mapping of a Virtual Landscape part of Enhance Your Teaching:Teaching with Online Field Experiences:Activities
Mark Helper, The University of Texas at Austin
This virtual mapping exercise is part video game, part map prediction and interpretation. You will navigate a virtual landscape to "collect" outcrops and their field notes, recording your observations on ...

Working with Point Clouds in CloudCompare and Classifying with CANUPO part of Enhance Your Teaching:Teaching with Online Field Experiences:Activities
Sharon Bywater-Reyes, University of Northern Colorado
This exercise will walk you through 1) basic operations and use in CloudCompare, and 2) use of an Open-Source plugin in CloudCompare called CANUPO (http://nicolas.brodu.net/en/recherche/canupo/) that allows for ...

Karst Hydrogeology and Geomorphology: A virtual field experience using Google Earth, GIS, and TAK part of Enhance Your Teaching:Teaching with Online Field Experiences:Activities
Rachel Bosch, Northern Kentucky University
Students will have the opportunity to select and virtually explore the hydrogeology and geomorphology of a karst landscape using Google Earth (or perhaps Google Mars or Google Moon if they so choose), lidar ...

Measuring the Inclination and Declination of the Earth's magnetic field with a smartphone part of Enhance Your Teaching:Teaching with Online Field Experiences:Activities
Avradip Ghosh, University of Houston
The poles of the Earth's magnetic field are not precisely aligned with the geographic north and south poles and, in fact, vary continuously. This activity introduces to students the Earth's magnetic ...

Measuring Plate Motion with GPS: Iceland | Lessons on Plate Tectonics part of Geodesy:Activities
Shelley E Olds, EarthScope Consortium; David Thesenga, Alexander Dawson School
This lesson teaches middle and high school students to understand the architecture of GPS—from satellites to research quality stations on the ground. This is done with physical models and a presentation. Then students learn to interpret data for the station's position through time ("time series plots"). Students represent time series data as velocity vectors and add the vectors to create a total horizontal velocity vector. They apply their skills to discover that the Mid-Atlantic Ridge is rifting Iceland. They cement and expand their understanding of GPS data with an abstraction using cars and maps. Finally, they explore GPS vectors in the context of global plate tectonics.

Visualizing Relationships with Data: Exploring plate boundaries with Earthquakes, Volcanoes, and GPS Data in the Western U.S. & Alaska | Lessons on Plate Tectonics part of Geodesy:Activities
Shelley E Olds, EarthScope Consortium; Becca Walker, Mt San Antonio College
Learners use the GPS Velocity Viewer, or the included map packet to visualize relationships between earthquakes, volcanoes, and plate boundaries as a jigsaw activity.

Karst Hydrogeology: A virtual field introduction using Google Earth and GIS part of Enhance Your Teaching:Teaching with Online Field Experiences:Activities
Rachel Bosch, Northern Kentucky University
Students will have the opportunity to select and virtually explore the hydrogeology and geomorphology of a karst landscape using Google Earth, lidar data-sourced DEM(s) and geologic maps, and GIS software (QGIS) ...