Introduction to Remote Sensing Course Focus: Snow cover/depth from Structure from Motion (SfM) Photogrammetry


Introduction to Remote Sensing course image

This project will enhance an existing “Introduction to Remote Sensing” undergraduate class at Alaska Pacific University (APU) with the addition of structure from motion (SfM) methodology. SfM is the process of estimating the 3D structure of a scene from a set of 2D images (aerial photos in our case). A portion of the class will focus on answering real-world research questions that address both snow cover/depth and glacier change within the Eklutna Lake watershed. Funding will allow teaching and acquisition of aerial photography methods from a fixed-wing plane and SfM post-processing methods using cloud-based methods (Amazon AWS). APU has developed a photogrammetric system consisting of a survey quality dual frequency GPS (Trimble 5700), a DSLR camera (Nikon 850D), a trigger box to automatically drive camera (Aviantrix), and the necessary software to create flight plans, execute missions, and create 3D structures (Agisoft Metashape). Students will learn photogrammetry methods by conducting mission planning, system testing, GPS pre/post processing, and the SfM software (Agisoft). The multi-disciplinary nature of this course applies remote sensing tools to earth science applications through hands-on, experiential learning.


Name: Jason Geck, Assistant Professor

Institution: Alaska Pacific University

Award: Higher Education, Project

Funding Period: 2019

Attachment: Jason Geck Symposium Presentation