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The goal of this work is to create an interactive, data-rich learning environment that will enhance student understanding of remote sensing principles and surficial processes. In service of this goal a data acquisition system consisting of common consumer electronics (e.g. a digital camera and Microsoft Kinect) was used to monitor temporal and spatial changes in a scale model of a fluvial setting. Analysis of these data allows students to track landform evolution in response to changing inputs and boundary conditions. These scale-model observations of surficial processes can be also compared to full-scale planetary landscapes.

Hands-on” Remote Sensing of Physical Models in Exploration of Surficial Processes