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Introduction to Remote Sensing of the Environment 4111/5111

Introduction to Remote Sensing of the Environment 4111/5111. Ken Driese Dept. of Botany . Group Activity: Remote Sensing Fundamentals. What is resolution, and is high resolution better than low resolution? Why is the sky more orange at sunset when forest fires are burning?

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Introduction to Remote Sensing of the Environment 4111/5111

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  1. Introduction to Remote Sensing of the Environment4111/5111 Ken Driese Dept. of Botany

  2. Group Activity: Remote Sensing Fundamentals • What is resolution, and is high resolution better than low resolution? • Why is the sky more orange at sunset when forest fires are burning? • Why do plants look green? • What is infrared light, and why is it so important in remote sensing? • How does a computer display color images? • Why do trees look different than dirt in a satellite image? • How can you make an elevation map with remote sensing? • Why do lots of satellites orbit over the earth’s poles?

  3. Course Topics • Electromagnetic radiation • Emphasis on satellite remote sensing • Emphasis on land management applications – particularly vegetation mapping and monitoring • Survey of specialized types of remote sensing

  4. Types of Remote Sensing

  5. Types of Remote Sensing -- Sensors • Photography • Film, Digital, Aerial, Orbiting • Multispectral Imaging • Hyperspectral Imaging • Active Remote Sensing • Thermal Imaging

  6. Types of Remote Sensing – Applications • Terrestrial • Marine • Atmospheric • Planetary • Astronomy

  7. The History of Remote Sensing • Historical context is important for understanding what we do now

  8. The Electromagnetic Spectrum

  9. Reflectance

  10. Identifying Materials: Spectral Differences

  11. Digital Data vs. “Pictures” • Satellite data are numbers that represent the strength of reflected light hitting the sensor, just like your digital camera • Satellite “pictures” are made from these data

  12. Satellite Basics • What so satellites measure? • What is satellite resolution? • How do orbital characteristics affect data collection? • How do satellites gather data?

  13. Survey of Commonly Used Satellites • Landsat • Hyperion • Ikonos/Quickbird • AVHRR • MODIS • IRS • SPOT • etc. From www.nasa.gov

  14. High spatial resolution (e.g. IKONOS, Quickbird Aerial Photograph Grand Prismatic Pool, Yellowstone Google Earth

  15. Lower spatial resolution (e.g., MODIS)

  16. Atmospheric Corrections

  17. Geometric Corrections

  18. Image Enhancement – Indices What do these images show you?

  19. Aerial Photography

  20. Image Classification (Making Maps) What does MMU mean? What is “land cover”?

  21. Corn User’s Accuracy = 25/32 Accuracy Assessment

  22. Change Detection 2003 1989 Also see THIS SITE

  23. Using GIS to Improve Maps

  24. Hyperspectral Imaging – “hyper” amounts of spectral data

  25. Thermal Remote Sensing Death Valley thermal image with north to right

  26. Radar and Lidar

  27. Global Change

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