Integrated Geospatial Education &                   Technology Training
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      • COHORT 1
      • COHORT 2
      • COHORT 3
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    • Student Exercises >
      • Remote Sensing Intro with Apps and Web Browsers
      • Basic
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      • 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
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    • 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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Climate Change/Earth Science Week - NASA
http://climate.nasa.gov/eswSite/index.cfm

Spanish Language Version:  http://climate.nasa.gov/esw2012espanol/

Earth Observatory
http://earthobservatory.nasa.gov
Freely-accessible satellite imagery, scientific information, and data about our home planet

Geospatial Revolution http://geospatialrevolution.psu.edu/project/index.html
The Geospatial Revolution Project is an integrated public service media and outreach initiative about the world of digital mapping and how it is changing the way we think, behave, and interact.  

How to Interpret a Satellite Image: Five Tips and Strategies http://earthobservatory.nasa.gov/Features/ColorImage/
Look for a scale; look for patterns, shapes, and textures; define the colors (including shadows); find north; consider your prior knowledge

  Interviews with Remote Sensing Scientists on EarthSky Radio > Monitoring Water Use from Space: Martha Anderson: http://landsat.gsfc.nasa.gov/news/news-archive/sci_0034.html

>  First ever image mosaic of entire Antarctica detail:  Robert Bindschadler http://landsat.gsfc.nasa.gov/news/news-archive/sci_0032.html
> Carbon Agreement: Doug Morton http://landsat.gsfc.nasa.gov/news/news-archive/news_0319.html
> Forest Monitoring: Curtis Woodcock http://landsat.gsfc.nasa.gov/news/news-archive/news_0306.html
> Tracking changes to Earth’s forests from space: Alan Belward http://earthsky.org/earth/alan-belward-tracks-changes-to-earths-forests-from-space

Electromagnetic Spectrum - Tour
http://missionscience.nasa.gov/ems/01_intro.html
Video series including chapters on radio, micro-, infrared, visible, ultraviolet waves; X-Rays; and gamma rays

 Why Is That Forest Red and That Cloud Blue? How to Interpret a False Color Satellite Image
http://earthobservatory.nasa.gov/Features/FalseColor/page1.php
A photograph is made when light is focused and captured on a light-sensitive surface (such as film or a CCD). A satellite image is created by combining measurements of the intensity of certain wavelengths of light, both visible and invisible to human eyes.

 

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