onGEO Professional GIS Certificate Program to Launches Digital Image Processing Course

May 24, 2022

Printed digital images rolled poster style. Courtesy NASAA new fully online professional course, written by Dr. David Lusch (Professor Emeritus in MSU-GEO and MSU-RS&GIS), has been launched. Our Digital Image Processing course is designed to meet the digital imagery exploitation and analysis needs of a wide variety of GIS and remote-sensing personnel.

Course Description: Our course focuses on the extraction of land cover/use information from two commonly available image types: 4-band aerial orthoimagery and Landsat satellite imagery. The exercises will emphasize the no-cost imagery from the Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Operational Land Imager (OLI) moderate-resolution imagers on the Landsat 5, 7, and 8 satellites, respectively, and the Multi-Spectral Instrument (MSI) sensor on the Sentinel-2 satellite. Digital orthoimagery from the U.S. Department of Agriculture NAIP Program will also be explored. The course introduces foundational terms and concepts through a series of lessons and then exercises written for ArcGIS Pro (and Google Earth Engine, optional) that give students the opportunity to apply and practice what they have learned.

Course Audience: Many GIS entities only use digital imagery as a backdrop for their point, line, and polygon data. This course is ideal for geospatial professionals who have a limited background in exploiting the information content of digital imagery within a GIS context.

Course Goals: This course builds the image interpretation and classification skills that GIS professionals need in order to extract land cover/use information from imagery in support of numerous activities such as general planning, environmental analyses, watershed management, and greenspace preservation to name just a few.

Course Offerings: We plan to offer the course each January, May, and August sessions.

Course Length: The course runs for 14-weeks, though it can be finished in less time if wanted.

Course Cost: $1000

Course Delivery: All course lessons and assessments are provided online via D2L. All lab data and applications are provided through a remote-server setup, so no applications need to be installed on your computer for the lab.