1. Remote Sensing Introduction to light and color. What is remote sensing? Introduction to satellite imagery. 5 resolutions of satellite imagery. Satellite image display.

2. Electromagnetic Waves Examples of electromagnetic waves: –Red light –Green light –X rays –Gamma rays –Radio waves Electromagnetic waves are moving ‘altered fields of space’ that exert a physical force on electrically charged objects in the field.

3. An electromagnetic Wave amplitude The amplitude is the strength of the force the field exerts on a charged object. When the sine wave is below the line, it shows a force acting in the negative direction. Physical location Imagine you’re here

4. Electromagnetic radiation energy: Wave-particle duality particlewave Light has properties that behave as waves and properties that behave as particles. For remote sensing purposes we are primarily concerned with the wave behaviors of light/electromagnetic radiation.

5. Electromagnetic Waves Wavelength ( ) EMR energy moves at the speed of light (c): c = f f = frequency: The number of waves passing through a point within a unit time (usually expressed per second) Energy (  ) carried by a photon:  = h f [ h=Planck constant (6.626  10 -34 Joules*seconds)] The shorter the wavelength, the higher the frequency, and the more energy a photon carries. Therefore, short wave ultraviolet solar radiation is very destructive (sunburns)

6. One micrometer = one millionth (10 -6 ) of a meter ers)

7. What makes objects a certain color? The color of an object is determined by how much light it reflects of each wavelength in the visible light portion of the EM spectrum. Some objects emit light as well, greatly affecting their color. Objects reflect some wavelengths. Objects absorb some wavelengths.

8. Spectral Signatures

9. Remote Sensing Remote sensors are devices that sense energy from a remote location (i.e., a device not in physical contact with what it is sensing) Remote sensing is the science of acquiring, processing and interpreting information/data collected by remote sensors.

10. Remote Sensing Active – emit energy and detect reflections –Sonar –Radar –Lidar Passive - detect emitted/reflected energy from other sources –Satellite sensors –Air photos –Cameras –Video recorders

11. Satellite Imagery Digital data is obtained by sensors on satellite platforms.

12. Satellite Imagery Described by five resolutions –Spatial resolution: area on ground represented by each pixel Advanced Very High Resolution Radiometer (AVHRR) – 1 km Landsat - 30m SPOT – 2.5m - 20m / 2.5m - 10m IKONOS - 1m/4m –Temporal resolution: how often a satellite obtains imagery of a particular area –Spectral resolution: specific wavelength intervals in the electromagnetic spectrum captured by each sensor –Radiometric Resolution: number of possible data values reportable by each sensor (how sensitive the sensor is to changes in brightness of objects that it views) –View angle resolution: the number of angles at which the ground objects are recorded by the sensor.

13. AVHRR Spatial resolution English Channel

14. Landsat Thematic Mapper Spatial resolution Greenville, NC

15. SPOT Spatial resolution Palm Springs, CA

16. IKONOS Spatial resolution Sydney Olympic Park

17. Temporal Resolution Number of days between overhead passes at the same location –Landsat - 16 days –AVHRR - daily –IKONOS - 1 to 3 days

18. Spectral Resolution Number, spacing and width of sampled wavelength bands Higher resolution results in more precision in representation of spectral signatures

19. Review: Electromagnetic Spectrum A continuum of all possible energies that radiate through space In remote sensing, we mainly focus on visible, infrared and microwave

20. Landsat spectral resolution Wavelength (in micrometers) Description 1 2 3 4 5 6 7 0.45 - 0.52 0.52 - 0.60 0.63 - 0.69 0.76 - 0.90 1.55 - 1.75 10.4 - 12.5 2.08 - 2.35 Blue-green Green Red Near-IR IR Thermal Mid-IR Landsat TM:

21. Spectral Regions – Landsat MSS 0.4 - 0.5  m Illuminates Materials in Shadows Water Penetration for Bathymetry Soil / Vegetation Differentiation Deciduous / Coniferous Differentiation BLUE GREEN RED NEAR IR SHORT WAVE IR MID- WAVE IR LONGWAVE IR 14.05.03.01.10.70.60.50.4 PANCHROMATIC BAND 1 (Visible Blue)

22. Band 1

23. 0.5 - 0.6  m Water Penetration for Bathymetry Clear and Turbid Water Contrast Discrimination of Oil on Water Green Reflectance Peak of Healthy Vegetation BLUE GREEN RED NEAR IR SHORT WAVE IR MID- WAVE IR LONGWAVE IR 14.05.03.01.10.70.60.50.4 PANCHROMATIC BAND 2 (Visible Green) Spectral Regions – Landsat MSS

24. Band 2

25. 0.6 - 0.7  m Vegetation Differentiation Chlorophyll Absorption Limited Water Penetration for Bathymetry BLUE GREEN RED NEAR IR SHORT WAVE IR MID- WAVE IR LONGWAVE IR 14.05.03.01.10.70.60.50.4 PANCHROMATIC BAND 3 (Visible Red) Spectral Regions – Landsat MSS

26. Band 3

27. Vegetation Analysis Shoreline Mapping Landcover Discrimination 0.7 - 1.1  m BLUE GREEN RED NEAR IR SHORT WAVE IR MID- WAVE IR LONGWAVE IR 14.05.03.01.10.70.60.50.4 PANCHROMATIC BAND 4 (Near Infrared) Spectral Regions – Landsat MSS

28. Band 4

29. 1.1 - 3.0  m Fire Mapping Discrimination of Oil on Water Moisture Content of Soil and Vegetation Snow / Cloud Differentiation Vegetation Analysis BLUE GREEN RED NEAR IR SHORT WAVE IR MID- WAVE IR LONGWAVE IR 14.05.03.01.10.70.60.50.4 PANCHROMATIC BAND 5 (Short-wave Infrared) Spectral Regions – Landsat MSS

30. Band 5

31. 3.0 - 5.0  m Solar Reflectance From Specular Metal Roofs Smoke Penetration Daytime Reflectance Mixed With Emitted EM Radiation Nighttime Emitted EM Radiation BLUE GREEN RED NEAR IR SHORT WAVE IR MID- WAVE IR LONGWAVE IR 14.05.03.01.10.70.60.50.4 PANCHROMATIC BAND 7 (Mid-wave Infrared) Spectral Regions – Landsat MSS

32. Band 7

33. 5.0 - 14.0  m Thermal Analysis Vegetation Density Urban Heat Islands BLUE GREEN RED NEAR IR SHORT WAVE IR MID- WAVE IR LONGWAVE IR 14.05.03.01.10.70.60.50.4 PANCHROMATIC BAND 6 (Long-wave Infrared) Spectral Regions – Landsat MSS

34. Band 6

35. Landsat Bands Band 1 Band 2 Band 3 Band 4 Band 5 Band 7 Band 6 BLUE GREEN RED NEAR IR SHORT WAVE IR MID- WAVE IR LONGWAVE IR

36. Spectral Resolution of Landsat TM TM Band:123457 These bands provide a coarse summary of spectral signatures.

37. Radiometric Resolution Number of possible data values reported by the sensor Range is expressed as a power (2 n ) –8-bit resolution has 2 8 values, or 256 values Range is 0-255 –12-bit resolution has 2 16 values, or 65,536 values Range is 0-65535 The value in each pixel is called the –Digital Number (DN) –Brightness Value (BV)

38. Image Display Graphics display devices use three color guns –Red, Green, Blue –All colors can be formed from various combinations of these 3 colors (which is why they’re used in computer/TV screens) The brightness values (BV) to be displayed will often have an 8-bit range –0 to 255 In remote sensing, we assign one band to each color gun to give color to the image

39. Image Display For a single band, the resultant color will be grayscale All three colors display the same value, so the colors are shades of gray Band 1 Red color gun Green color gunBlue color gun

40. Landsat Image of Idaho Band 1 Band 3 Band 2 Band 4

41. Landsat Image of Idaho Band 5 Band 7 Band 6

42. Image Display For a multi-band image, the resultant color will depend on which bands are assigned to which color guns Red (3)Green (2)Blue (1) Near Infrared (4)Red (3)Green (2) True Color Composite (321) False Color Composite (432) Red color gun Green color gun Blue color gun Red color gun Green color gun Blue color gun

43. Multispectral Imagery Display BLUE GREEN RED NEAR IR SHORT WAVE IR MID- WAVE IR LONGWAVE IR 1Landsat TM Band = 234 5 7 6 Band Combination = 7 4 2 Color Guns = Band Composite Output =

44. Color composite image Color Composite Image Band ABand BBand C Blue color gun Green color gunRed color gun

45. Landsat TM Image of Idaho 321432 543