1 / 21

Remote Sensing

Remote Sensing. January 20, 2006 Geog 258: Maps and GIS. Outlines. Principles of remote sensing Three key aspects of resolution of remotely sensed image Aerial photo vs. satellite image Classifying aerial photograph Geometric distortion of aerial photograph Classifying satellite image.

sarai
Télécharger la présentation

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. Remote Sensing January 20, 2006 Geog 258: Maps and GIS

  2. Outlines • Principles of remote sensing • Three key aspects of resolution of remotely sensed image • Aerial photo vs. satellite image • Classifying aerial photograph • Geometric distortion of aerial photograph • Classifying satellite image

  3. Principles of remote sensing • What you see is the amount of electromagnetic energy reflected by object; needs energy source, object, sensor • Electromagnetic energy can be divided into different spectral bands (visible light, NIR, microwave) given its wavelength • Electromagnetic spectrum • Electromagnetic energy interacts with object differently • Snow reflects most of energy (that’s why it looks bright) • Dry soil absorbs most of energy (that’s why it looks dark) • How object interacts with electromagnetic energy is a function of wavelengths  basis of image interpretation • Spectral reflectance signature • Electromagnetic radiation interacts with atmosphere as well. Some radiations (in visible, NIR and microwave bands) pass through atmosphere relatively well • Atmospheric window

  4. Electromagnetic spectrum

  5. Spectral signature Explain why water looks darkish blue; Explain why vegetation looks greenish; Explain why sand looks reddish yellow

  6. Atmospheric window • It shows how much electromagnetic radiation transmits atmosphere • In which bands, is % transmission high? • Advantage of using those bands? • Compare aerial photo and satellite image in terms of spectral bands

  7. Aerial photograph Optical sensor Infrared sensor Radar sensor

  8. Different kinds of image • Pancromatic image • True-color image • False-color image

  9. Pancromatic image • If airborne cameras use black/white film or satellite sensors use a single band, it produces pancromatic image (gray scale image)

  10. Color composite • Color primaries: RGB (Red, Green, Blue) • Many colors are formed by combining color primaries in various proportions • Look inside your inkjet color printer. Did you really buy 100 different color cartridges? • Same principles apply to producing color images taken from airborne cameras or satellite sensors

  11. True-color image • See Table 9.1 (p. 182) • How many bands are used for Landsat 4 and 5? • What’s the spectral range (and corresponding colors) for band name 3, 2, 1? • Each band collects different images (See Figure 9.27 at p. 182) • To produce color-image, bands 321 are assigned to RGB respectively • The color of resulting image resembles what would be observed by human eyes • That’s why it’s called true-color image

  12. False-color image • If three bands are arbitrarily (i.e. doesn’t have to be RGB bands) assigned to RGB layers, it produces false-color image SPOT XS1 (green band) SPOT XS2 (red band) SPOT XS3 (Near IR band) R = XS3 (NIR band)G = XS2 (red band)B = XS1 (green band) Why does vegetation appear dark in green band in pancromatic image? Why does vegetation appear bright in NIR band in pancromatic image? Why does vegetation appear red in this color composite?

  13. Three key aspects of resolutions • Spatial: pixel (grain) size; minimum distance which can be recorded • Aerial photo has of course higher resolution • Temporal: how often is the image recorded • For satellite image, it can be regular (satellites are orbiting the earth in regular time interval) • Spectral: how many bands are used • Satellite sensors use different # bands; most of them less than 10 (e.g. TM uses 7 bands); sensors with # band > 10 are called hyperspectral (e.g. MODIS) • Important in determining the fitness of use

  14. Types of sensor systems • Passive • Rely on external energy source • Optical sensor (reliant on solar energy) • Active • Sensor itself sends out radiation (like flash camera) • Radar sensor (reliant on microwave) • Which one can record the image of earth at night, and which one can’t? • Another reason for the popularity of Radar imaging is the ability of microwave to penetrate atmosphere (e.g. clouds); see Figure 9.4 (p. 164) • So what would be the advantage of Radar imaging compared to optical imaging?

  15. Aerial photography vs. Satellite imaging(Airborne RS vs. Spaceborne RS) • Which began earlier? (with the development of what?) • Which would have a higher spatial resolution? (in which altitude?) • Are they analog or digital? (output format) • Which is more flexible? (can satellite be launched any time?) • Which would provide geographic coverage in a systematic manner? • Which is equipped with wider spectral bands? (does air photo has thermal-infrared sensors?) • How would post-processing be different?

  16. Classifying aerial photo • Film emulsion • {black-and-white, true-color, color-infrared} • Camera’s height • {high, mid, low-altitude} • Camera’s vantage point • {vertical, oblique} • When color-infrared films were invented, and for which purpose?

  17. Geometric distortion of air photo • Aerial photo gives us perspective view (it distorts geometry of geographic features) • Transformation from central to parallel perspective results in planimetrically correct photo or orthophoto

  18. Sources of geometric distortion • Camera tilts Scale is not uniform

  19. Sources of geometric distortion • Variations in terrain Remember photo is flat (2D) and objects should be seen from the point of infinite height in the planimetrically correct photo. In the aerial photo, a’ is displaced outward to a b’ is displaced inward to b due to terrain variations

  20. Classifying satellite image • Spatial resolution • {high, low} • Types of energy source • {passive, active} • Types of spectral bands • {pancromatic, multispectral, hyperspectral} • Special purposes • {earth-observing, meterological, thermal-infrared} • From the list of earth observing satellite, http://www.ersc.wisc.edu/resources/EOSC.php, place the sensors in classification schemes above

  21. Review questions • What is the difference between aerial photo, orthophoto, and DOQs? • Discuss advantage and disadvantage of aerial photo vs. satellite imagery • What is the advantage of using active sensor systems? • What is the advantage of using spectral bands beyond visible wavelength ranges (0.4-0.7 micron)?

More Related