1 / 28

Principles of Remote Sensing

Principles of Remote Sensing. Image from NASA – Goddard Space Flight Center, NOAA GOES-8 satellite, 2 Sep ’94, 1800 UT. Scanning planet Earth from space. History of remote sensing. Earliest vehicle was …? Tournachon (‘Nadar’) took 1 st aerial photograph in 1858 (since lost)

monita
Download Presentation

Principles of Remote Sensing

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Principles of Remote Sensing Image from NASA – Goddard Space Flight Center, NOAA GOES-8 satellite, 2 Sep ’94, 1800 UT CS 128/ES 228 - Lecture 9a

  2. Scanning planet Earth from space CS 128/ES 228 - Lecture 9a

  3. History of remote sensing • Earliest vehicle was …? • Tournachon (‘Nadar’) took 1st aerial photograph in 1858 (since lost) • Earliest conserved aerial photograph: Boston, J. Black, 1860 • Early applications were in military reconnaissance CS 128/ES 228 - Lecture 9a

  4. WWII – heavy use of aerial reconnaissance Images: Avery. 1977. Interpretation of Aerial Photographs. 3rd ed. Burgess Press, Minneapolis, MN. CS 128/ES 228 - Lecture 9a

  5. “Spy planes” & the Cold War CS 128/ES 228 - Lecture 9a

  6. Satellite sensing • Russian Sputnik (1957)- radio transmitter only • Rapid response by US:CORONA (1960) • Early applications: military reconnaissance CS 128/ES 228 - Lecture 9a

  7. Advantages of satellites • Wide coverage • Vertical (orthogonal) view • Multi-spectral data bands • Rapid data collection CS 128/ES 228 - Lecture 9a

  8. Sources of EM radiation Key distinction: • passive sensing • active sensing Spectral ‘signatures” Top: Lo & Yeung, fig. 8.1 Bottom: ASTER Spectral Library (http://speclib.jpl.nasa.gov) CS 128/ES 228 - Lecture 9a

  9. Types of EM radiation used Three important spectral bands: • visible light • infrared radiation • microwave radiation Image from NASA 1987. SAR: Synthetic Aperture Radar. Earth Observing System, Vol. IIf. CS 128/ES 228 - Lecture 9a

  10. Atmospheric attenuation Scattering • caused by aerosols (water vapor, dust, smoke) • more intense at shorter wavelengths • why the sky is blue • Absorption • caused by gas molecules (H2O, CO2, O2, O3) • each molecule absorbs at a specific wave-length • result: atmospheric transmission windows CS 128/ES 228 - Lecture 9a

  11. Transmission windows • UV-visible-IR • Microwave Image from NASA 1987. From Pattern to Process: The Strategy of the Earth Observing System. Vol. II. CS 128/ES 228 - Lecture 9a

  12. Classes of sensors Photographic • panchromatic • color • Multi-spectral scanners • sensors for many wavelengths • image scanned across sensors • Infrared (IR) • film (near IR) • thermal IR sensors for longer wave-lengths • Radar • RAdio Detection And Ranging • active imaging CS 128/ES 228 - Lecture 9a

  13. Visual sensors: film types • panchromatic • near-infrared • color Both images from Committee on Earth Observation Satellites http://ceos.cnes.fr:8100/cdrom-98/ceos1/irsd/content.htm CS 128/ES 228 - Lecture 9a

  14. Infrared sensors • IR penetrates haze and light cloud cover • can be used at night • used by military for camouflage detection • IR ‘signature’ often distinct from visible image CS 128/ES 228 - Lecture 9a

  15. Color IR film • Used with yellow (blue-absorbing) filter • 3 primary pigments, but not “true” (visible) color - green vegetation = red- clear water = dark blue- turbid water = bright blue- soil = green- urban areas = pale blue Top image: Committee on Earth Observation Satellites http://ceos.cnes.fr:8100/cdrom-98/ceos1/irsd/content.htm Bottom image: Avery. 1977. Interpretation of Aerial Photographs. 3rd ed. Burgess Press, Minneapolis, MN. CS 128/ES 228 - Lecture 9a

  16. Multispectral sensors • Visible + IR spectra • Comparison of film and electronic sensor spectral bands Top: Avery 1977. Interpretation of Aerial Photography. Burgess Publ., Ninneapolis Bottom: ASTER Science page (http://www.science.aster.ersdac.or.jp/users/parte1/02-5.htm#3) CS 128/ES 228 - Lecture 9a

  17. Radar sensors • active sensing • day & night, all weather • less affected by scattering (aerosols) • vertical or oblique perspective Lo & Yeung, fig. 8.13 CS 128/ES 228 - Lecture 9a

  18. Uses of radar: altimetry • satellite-nadir distance • geoid & topographic measurements • sea elevation, tides & currents • wave/storm measurements Both images from NASA 1987. Altimetric System. Earth Observing System, Vol. IIh. CS 128/ES 228 - Lecture 9a

  19. Uses of radar: SAR • glaciology • hydrology • vegetation science • geology Image from NASA 1987. SAR: Synthetic Aperture Radar. Earth Observing System, Vol. IIf. CS 128/ES 228 - Lecture 9a

  20. Sensor resolution • Spatial: size of smallest objects visible on ground. Ranges from < 1m to > 1 km. Inversely related to area covered by image • Spectral: wavelengths recorded. Ex. panchromatic film (~0.2 – 0.7 µm); Landsat Thematic Mapper bands (0.06 to 0.24 µm wide) • Radiometric: # bits/pixel. Ex. Landsat TM (8 bit); AVRIS (12 bit) • Temporal: for satellite, time to repeat coverage. Ex. Landsats 5 & 7 (16 days) CS 128/ES 228 - Lecture 9a

  21. Spatial resolution: analog (film) images Depends on: • lens quality & camera stability • size of negative • film grain High quality aerial photograph: • up to 60 lines/mm • 9 x 9” (23 x 23 cm) negative • scanned at 3000 dpi = ~725 megapixels • if 8 bit image depth, >5 GB image size CS 128/ES 228 - Lecture 9a

  22. Ground resolution G. R. = scale factor / film resolution CS 128/ES 228 - Lecture 9a

  23. Spatial resolution: digital (satellite) images A sampler of recent (civilian) satellites: CS 128/ES 228 - Lecture 9a

  24. Satellite image resolution Quickbird 2 • Commercial venture • 0.63 m resolution • U.S. trying to discourage open access to finer resolution images Digitalglobe.com CS 128/ES 228 - Lecture 9a

  25. Satellite orbits Geostationary • 36,000 km above equator Polar • varying heights • often in Sun-synchronous orbits Both diagrams from European Organisation for the Exploitation of Meteorological Satellites www.eumetsat.de/en/mtp/space/polar.html CS 128/ES 228 - Lecture 9a

  26. Satellite coverage Geostationary • no polar coverage • coverage is 24/7 • low ground reso-lution (~ 1 km) Polar • global coverage • coverage is dis-continuous Both diagrams from European Organisation for the Exploitation of Meteorological Satellites www.eumetsat.de/en/mtp/space/polar.html CS 128/ES 228 - Lecture 9a

  27. Geostationary orbits Ex. GOES satellites • Meteorological satellites • GOES-8 at 75oW, GOES-9 at 135oW • 5 bands (1 visible, 4 thermal infrared) Image from NASA – Goddard Space Flight Center, NOAA GOES satellite, Hurricane Floyd, 15 Sep ‘99 CS 128/ES 228 - Lecture 9a

  28. Polar orbits Ex. Landsat & Terra satellites • 705 km height, ~100 minute orbit • 185 km swath • 16 day repeat • Sun-synchronousorbits (~0945 a.m. equator crossing) Orbit tracking data from NASA – http://liftoff.msfc.nasa.gov/realtime/JTrack/eos.html, 5 Mar ‘03 CS 128/ES 228 - Lecture 9a

More Related