Integrated Geospatial Education &                   Technology Training
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      • COHORT 1
      • COHORT 2
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    • Student Exercises >
      • Remote Sensing Intro with Apps and Web Browsers
      • Basic
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    • Concept Module Videos >
      • Introduction to Remote Sensing Concepts for GIS Users >
        • Introduction to Remote Sensing Concepts for GIS Users
        • Remote Sensing and Spatial Thinking
        • Why are Pixels Square and Lenses Round
        • Remote Sensing for Ocean Assessments
      • RS Imagery-Imagery Format, Resolutions and Pixel Values >
        • Imagery Resolution and Landsat Basics
        • Photogrammetry and Aerial Imagery
        • Spectral Signatures
        • Infrared Radiation
      • Finding and Selecting Data >
        • Decision Flow Chart for Finding and Downloading Landsat Scenes
      • Visualization of Imagery Data >
        • Band Combinations
        • Map Design for Color Deficient Users
      • Data Preparation >
        • Spectral Resolution Part 1
        • Ground Truth Remote Sensing Imagery
        • Landsat 8 Inttro to Top of Atmosphere Radiance and Reflectance Part 1
        • Landsat 8 Intro to Top of the Atmosphere Radiance and Reflectance Part 2
        • Solar Radiance and Reflectance for Landsat 5 and 7 Part 1
        • Solar Radiance and Reflectance for Landsat 5 and 7 Part 2
      • Basic Analysis Techniques >
        • Introduction to Band Ratios Part 1
        • Introduction to Band Ratios Part 2
        • Object Recognition on Aerial Imagery (using forestry)
        • Image Analysis using NDV_to Assess Vegetation Greenness
      • Intermediate Analysis Techniques 1 >
        • Thermal Infrared Remote Sensing- Part 1 of 2
        • Spatial Filters in Remote Sensing -Part 1
        • Why are Pixels Square and Lenses Round
        • Spatial Filters in Remote Sensing Part 2
        • Spatial Filters in Remote Sensing Part 3
        • Maximum Likelihood Classification
        • Surpervised Classification using Paint by Number Analogy
        • Supervised vs. Unsupervised Cassification
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    • Cohorts 3 and 4 >
      • Group Photos
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iGETT: Remote Sensing, Cohort 3 (2013-14)

Kelly Allen
Science and Math, Tulsa Community College, Tulsa, OK

Cherie Aukland
GIS, Thomas Nelson Community College, Historic Triangle, Williamsburg, VA 

Hector Douglas
Science, College of Rural and Community Development, University of Alaska, Kuskowim Campus, Bethel, AK

Tim Eichner
Science and Math, Flathead Valley Community College, Kalispell, MT

Nicole Ernst
Engineering, Harrisburg Area Community College, Harrisburg, PA

Brian Keiling
Forest Mgt Technology, Dabney S. Lancaster Community College, Clifton Forge, VA

Albert Lewandowski
Math/Science, St. Clair County Community College, Port Huron, MI

Jonathon Little
Chemisty and Geosciences, Monroe Community College, Rochester, NY

Brian Perkins
Forestry, Glenville State College, Glenville, WV

J. Scott Sires
Mathematics and Sciences, Brookhaven College, Farmers Branch, TX

Peter Stetson
Science, Coventry High School, Coventry, RI

Debbie Stevens
Advanced Technology-Geospatial Technology, Indian Hills Community College, Ottumwa, IA and Career Services Coordinator/Adjunct, William Penn University, Oskaloosa, IA

Jeff Tolhurst
Career and Technical Education, Columbia College, Sonora, CA

Gayle Wilson
Educational Technology, Albuquerque Academy, Albuquerque, NM

Team Participants:
Eileen Goff and Michelle Kinzel

Business, Computer Studies & Technologies, San Diego Mesa College, San Diego, CA
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