Integrated Geospatial Education &                   Technology Training
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    • Participants >
      • COHORT 1
      • COHORT 2
      • COHORT 3
      • COHORT 4
  • Resources for Instruction
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    • 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
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Software and Tutorials:


GIS:

http://www.esri.com/software/arcgis/
http://qgis.org/en/site/
http://hexagongeospatial.com/products/gis
http://www.mapinfo.com/product/mapinfo-professional/

Remote Sensing:

http://exelisvis.com/ProductsServices/ENVIProducts/ENVI.aspx
http://www.hexagongeospatial.com/products/remote-sensing/erdas-imagine/overview

Image Processing:

http://www.agisoft.com/
https://pix4d.com/
http://mapknitter.org/
http://flightriot.com/software/visual-sfm/

Tutorials and Publications:

Fundamentals of Remote Sensing
http://www.nrcan.gc.ca/earth-sciences/geography-boundary/remote-sensing/fundamentals/1430
The Canada Centre for Remote Sensing offers this tutorial on remote sensing technology and its applications, for senior high school or early university level and touches on physics, environmental sciences, mathematics, computer sciences and geography.

The Globe Program, Land Cover/Biology Chapter of Teacher’s Guide
http://www.globe.gov
Global Learning and Observations to Benefit the Environment (GLOBE) is a hands-on international environmental science and education program.


ImageJ
http://rsbweb.nih.gov/ij/
Free public domain image processing software developed at the National Institutes of Health. Use ImageJ to display, annotate, edit, calibrate, measure, analyze, process, print, and save raster (row and column) image data.  ImageJ User Guide:
http://rsbweb.nih.gov/ij/docs/user-guide.pdf

MultiSpec™ https://engineering.purdue.edu/~biehl/MultiSpec/  
MultiSpec™  Tutorials Purdue University Tutorials
https://engineering.purdue.edu/~biehl/MultiSpec/tutorials.html

AmericaView tutorials:  http://www.americaview.org/earth-observation-day#quicktabs_11%3D1
Go to the bottom of the page to find four tutorials.

A Quick Guide to Earth Explorer for Landsat 8
http://earthobservatory.nasa.gov/blogs/elegantfigures/2013/05/31/a-quick-guide-to-earth-explorer-for-landsat-8/































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