Integrated Geospatial Education &                   Technology Training
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    • Participants >
      • COHORT 1
      • COHORT 2
      • COHORT 3
      • COHORT 4
  • Resources for Instruction
    • Start Here
    • Student Exercises >
      • Remote Sensing Intro with Apps and Web Browsers
      • Basic
      • Basic
      • Intermediate
      • Intermediate
      • Intermediate
    • 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
  • Web Resources
    • iGETT Scoop it
    • Landsat On-Line Resources
    • Remote Sensing Background Information
    • Images and Movies
    • Software and Tutorials
  • Photo Gallery
    • Cohorts 1 and 2 >
      • Group Photos
      • Photos in the Field
      • Photos in the Lab
    • Cohorts 3 and 4 >
      • Group Photos
      • Photos in the Field
      • Photos in the Lab
  • Contact Us
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iGETT, Cohort 1 (2007-2009)

Amy Ballard
GIS and Applied Technologies, Central New Mexico Community College, Albuquerque, NM

Diana Casey
Social Sciences, Muskegon Community College, Muskegon, MI

Douglas Crebs
Natural Resources, Stone Child College, Box Elder, MT

Christopher Cruz
Park Management, West Valley College, Saratoga, CA

Vicki Drake
Earth Science, Santa Monica College, Santa Monica, CA

Kerry Lyste
Geography and GIS, Everett Community College, Everett, WA

Peter Price
GIS, Math, Engineering, Natural Science, North Harris College, Houston, TX
Currently:  independent geospatial educator

Michael Rudibaugh  
Math and Science, Lake Land College, Mattoon, IL

Dan Scollon
Physical Science, Shasta College, Redding, CA

Jeff Sun
Social and Behavioral Science, Casper Community College, Casper, WY

David Webb
Business, Engineering and Technology, Virginia Western Community College, Roanoke, VA

Dawn White  
GIS, Lac Courte Oreilles Ojibwa Community College, Hayward, WI

Team Particiants:

Remy Autz
Biology, Phoenix College, Phoenix, AZ
Luis Blueze       
Biology, Genesis Academy, Phoenix, AZ

Barbara DuFrain     
Computer Science/IT, Del Mar College, Corpus Chrsti, TX
John J. Nelson
Social Studies, Roy Miller High School; Currently Computer Science/IT, Del Mar College, Corpus Chrsti, TX

Angela Milakovic
Science and Engineering, Bismarck State College,  Bismarck, ND

Jacquelin Stenehjem
Science and Mathematics, Williston State College, Williston, ND

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