Geospatial Data Acquisition (GEO 2200/4200)


Course Description

This applied geospatial course introduces students to primary data collection methods in the field, with emphasis on GPS/GNSS, sUAS (drone), and smartphone/tablet operations. The main objective is to provide students with the knowledge and skills needed to successfully plan and execute field campaigns that result in the accurate collection and processing of geospatial data that can be used in a variety of applications. After successful completion of this course, you will know the fundamental techniques needed to effectively and accurately collect and process the most common types of geospatial field data.

Learning Outcomes

  • Provide students with fundamental understanding of satellite positioning using GPS and other satellite constellations (GNSS).
  • Expose students to the collection, processing, and evaluation of data acquired from drones (small Unmanned Aerial Vehicles).
  • Introduce students to “best practices” for planning field campaign to collect geospatial data (e.g., defining objectives, selection of proper equipment, training of staff, setting up geospatial data dictionary, etc.).
  • Introduce students to field data collection using other instruments/supporting software (e.g., smartphones/tablets, laser range finders, total stations, etc.).
  • Evaluate student learning through completion of a final project. Students will design and implement a field data acquisition campaign that addresses a real-world application.
  • Evaluate student communication skills through presentation of their final project results in both a professional 10-minute talk and an online forum (e.g., ESRI Story Map).
  • Basic Skill Requirements


    Michael W Hernandez, Ph.D.
    Dr. Michael Hernandez is a faculty member at Weber State University focusing on geospatial technologies, teaching both GIS and remote sensing/image processing courses. Dr. Hernandez’s research centers on the application of geospatial technologies to two main areas: geographic hazards and, vegetation studies.

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