Integrated Geospatial Education &                   Technology Training
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      • COHORT 1
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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 >
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Both iGETT and iGETT: Remote Sensing have followed the same schedule of professional development.

First Spring: Introductory training in remote sensing via webinars and tutorials 

First Summer: Eight-day summer institute, focused on remote sensing skills that address workforce applications of remote sensing data; related use of global positioning systems (GPS); the integration of these technologies with GIS; and effective classroom instruction of skills and competencies that are aligned with geospatial technology industry needs. Hosted during the iGETT project by Del Mar College in Corpus Christ, Texas and during the iGETT: Remote Sensing project by the US Geological Survey Earth Resources Observation and Science Center (EROS) in Sioux Falls, SD (Cohort 3) and by Northern Virginia Community College in Reston, VA (Cohort 4).

Fall-Second Spring:

  • Webinars: continued remote sensing instruction; presentations by remote sensing scientists; sharing of resources
  • Curriculum materials development: case-study-based student exercises; short instructional modules. Materials posted on the iGETT website after review for content accuracy and workforce relevance.
  • Course and program development; workforce outreach to support geospatial education at the home institutions; conference presentations by selected participants.
Second Summer: Five-day summer institute, focused on continued remote sensing instruction; presenting and critiquing participant-developed instructional materials; refining plans for course and program development and student recruiting.  Hosted during the iGETT project by Del Mar College and during the iGETT: Remote Sensing Project by Northern Virginia Community College (Cohort 3) and the US Geological Survey EROS Center (Cohort 4). 

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