GST105AB (Introduction to Remote Sensing: Sensor Platforms, Image Processing Basics, Band Ratios, Transformation and Elements of Photogrammetry)

This course is the second in a series three courses (GST105AA, GST105AB, and GST105AC) that provide introduction to remote sensing of the Earth. Topics in the series 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. Note: There is a ���Final Project�۝ to assess student learning across the three courses (GST105AA Introduction to Remote Sensing: Introduction and Physical Foundation of Remote Sensing, GST105AB Introduction to Remote Sensing: Sensor Platforms, Image Processing Basics, Band Ratios, Transformation and Elements of Photogrammetry, and GST105AC Introduction to Remote Sensing: Image Classification, Accuracy Assessment, and Final Project) that occurs at the end of the series of courses in Lesson 2 of GST105AC.
Microsoft Word Syllabus (225 KB)
file Course Documents (419 KB)
file Labs (78 MB)
file Storyline (18 MB)
file SCORM (19 MB)
file Lessons (14 MB)
Date:
2013-04
Primary Material Type:
Online Course
Institution:
Del Mar College
Project Name:
National Information, Security, and Geospatial Technology Consortium (NISGTC)
Funding Source:
TAACCCT Round 1
Subjects:
Software satellite open orthophotography unsupervised sensors arcgis accuracy matrix workflows classification remote image sensing imaging lidar radar uav aerial ratios spectrum supervised photogrammetry error band dendrogram source processing imagery signatures rectification electromagnetic unmanned photography spectral digital

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)
Occupation:
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
Language:
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:
GIS

Copyright / Licensing

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