GST105 (Introduction to Remote Sensing)

This course is an introduction to remote sensing of the Earth. Topics include the physical principles on which remote sensing is based, history and future trends, sensors and their characteristics, image data sources, and image classification, interpretation and analysis techniques. This course is designed to be used as a stand-alone course to complement other disciplines or as an entry level course into a geospatial program. Course content is based upon the United States Department of Labor's Geospatial Technology Competency Model for entry level geospatial occupations including Geospatial or GIS Technicians and Technologists.
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Primary Material Type:
Online Course
Del Mar College
Project Name:
National Information, Security, and Geospatial Technology Consortium (NISGTC)
Remote Sensing, Digital Image Processing, Aerial Photography, Satellite, Aerial Imaging, Imagery, RADAR, LiDAR, Orthophotography, Image Classification, Accuracy Assessment, Band Ratios, ArcGIS, Image Rectification, Image Processing Workflows, Imaging Sensors, Electromagnetic Spectrum, Supervised Classification, Unsupervised Classification, Spectral Signatures, Dendrogram, Error Matrix, UAV, Unmanned Aerial Vehicle, Open Source Digital Image Processing Software, Photogrammetry

Industry / Occupation

Industry Partner:
Business & Industry Leadership Teams (BILTs)
Industry Sector:
Information Technology -- Computer Operating Systems (Programming), Digital Forensics, Cyber Security, Network Security, IT Security (51)
Computer and Mathematical Occupations (15-0000)

Education / Instructional Information

Instructional Program:
Computer and Information Sciences and Support Services (11)
Credit Type:
  • Credit
Credential Type:
  • Stacked/Latticed Credential Model
  • Associate Degree
Educational Level of Materials:
  • 1st year Community College or equivalent
  • 2nd Year Community College or equivalent
English (United States)
Interactivity Type:
Presentation only - requires user to navigate through content.
Quality of Subject Matter was assured by:
  • Other
Quality of Online/Hybrid Course Design assured by:
  • None
Course Note:

Copyright / Licensing

Primary License:
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.