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Remote Sensing. Readings: 27-20 and lecture notes Figures to Examine: 27-20 to 27-23. Examine the Image from IKONOS, 27-23 and compare it with the others.

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Presentation on theme: "Remote Sensing. Readings: 27-20 and lecture notes Figures to Examine: 27-20 to 27-23. Examine the Image from IKONOS, 27-23 and compare it with the others."— Presentation transcript:

1 Remote Sensing

2 Readings: and lecture notes Figures to Examine: to Examine the Image from IKONOS, and compare it with the others.

3 Introduction Definition: Remote Sensing is the science of obtaining information about an area, object, or phenomenon through the analysis of data acquired by a device which is not in contact with the object, area, or phenomenon under investigation. Energy, mainly from the sun, propagates through the atmosphere, reflected or re- emitted from the objects, and recorded by sensors.

4 The Electromagnetic Spectrum Visible wave lengths are very limited, 0.4 to 0.7 m, Near IR 0.7 to 1.3 m, mid IR 1.3 to 3 m. They both could be recorded on films. Thermal IR is mainly emitted from an object, needs thermal scanning. Microwaves are very long waves 1mm to 1m Most common sensing systems operate in one or several of the visible, IR, or microwave portions of the spectrum. Energy emitted by the sun is within the visible portion, earths emitted energy is within the thermal IR portion.

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7 Spectral Reflectance The ratio between the reflected energy and the incident energy at a certain wave length. A certain object will have different spectral reflectance at different wave lengths Different objects will have different spectral Reflectance at the same wave length Examples: Deciduous and coniferous trees, vegetation, soil and water. Why do we see green. What is spectral signature?

8 Wavelength µm Reflectance % Dry soil gray brown Vegetation green Water clear

9 Infrared color photo Normal Color photo Notice the difference in color between natural vegetation and artificial turf

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12 Normal B/W photo 0.4 to 0.7 µm B/W Infrared photo 0.7 to 0.9 µm Deciduous (needle) trees reflect more, brighter Deciduous (needle) and coiffeurs trees (broad leaves) reflect the same

13 Thermal and Multispectral scanners Thermal scanners will detect the emitted energy in the thermal IR band. Multispectral scanners will detect the reflected energy in the visible, IR and microwave bands, includes a number of detectors corresponding to the number of bands detected. Thermal IR multispectral scanners. Imaging Spectrometry: acquisition in many, very narrow, contiguous spectral bands from visible to mid IR

14 Earth Resource Satellites There are several types of satellites above you: communications, remote sensing, GPS, radio and TV,.. US LnadSat: –Ground coverage 185 km x 185 km. Equals to 1600 photos at 1: 20,000 with no overlap. –Sensors: MSS, TM, best resolution: 30 m in black and white, LandSat 7: 15 m French Spot: –Ground coverage is 60 x 60 km –Sensors: High Resolution Visible (HRV). Operates within a limited band width: 0.51 to Resolution of 10 m in B/W, spot 5: 2.5m

15 Spot has a better spatial resolution and less spectral resolution than LandSat Spot imaging system could be oriented to survey a certain area at a certain time and to produce stereo pairs. Other available systems, some with higher accuracy Such as IKONOS, figure 27-23, 1 m resolution, and Spin-2 2m resolution. Quick Bird: Resolution up to 60 cm is commercially available today.

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17 Spot twin system

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19 SPOT 10m resolution B/W Image LA, California

20 DEM generated from Spot imagery

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23 Quick Bird 60 cm Image of Buckingham Palace- England

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25 Quick Bird 60cm image

26 1m Ikonos Image in Jamaica

27 Santiago 1m Ikonos Image

28 Washington D.C 5M IRS Image

29 2 m resolution satellite image of Giza-Egypt, courtesy of Spin-2

30 60 cm image of a runway in Egypt

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32 Daytime thermal image Quantico, VA

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37 Nighttime thermal IMAGE HEAT LOSS

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39 Site of the ancient city of Spina, Italy

40 Recently plowed fields that reveals the foundation of a 320-m long Roman village in northern France.

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42 Digital Image Processing What is a digital Image Basic Operations: –Image rectification and restoration –Image enhancement –Image classification –Data merging


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