remote sensing scanners l.
Skip this Video
Loading SlideShow in 5 Seconds..
Remote Sensing Scanners PowerPoint Presentation
Download Presentation
Remote Sensing Scanners

Loading in 2 Seconds...

play fullscreen
1 / 22

Remote Sensing Scanners - PowerPoint PPT Presentation

  • Uploaded on

Remote Sensing Scanners. Introduction to Remote Sensing Dr. Stuart Murchison. Multispectral Scanners. Advantages over multiband camera systems: Photographic systems: 0.3-0.9 m spectral range of sensing, wider bands Multispectral scanners: 0.3-14 m, more (and narrower) bands

I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
Download Presentation

PowerPoint Slideshow about 'Remote Sensing Scanners' - Olivia

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.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
remote sensing scanners

Remote Sensing Scanners

Introduction to Remote Sensing

Dr. Stuart Murchison

multispectral scanners
Multispectral Scanners
  • Advantages over multiband camera systems:
    • Photographic systems: 0.3-0.9 m spectral range of sensing, wider bands
    • Multispectral scanners: 0.3-14 m, more (and narrower) bands
  • MSS use the same optical system to collect data in all spectral bands simultaneously
  • Airborne or space platforms
across track scanners
Across-Track Scanners
  • Also known as WHISKBROOM Scanners
  • Scans Right to Left – one pixel at a time
    • Using a rotating mirror

Each line is scanned from one side of the sensor to the other, using a rotating mirror (A). As the platform moves forward over the Earth, successive scans build up a two-dimensional image of the Earth´s surface. The incoming reflected or emitted radiation is separated into several spectral components that are detected independently. The UV, visible, near-infrared, and thermal radiation are dispersed into their constituent wavelengths. A bank of internal detectors (B), each sensitive to a specific range of wavelengths, detects and measures the energy for each spectral band and then, as an electrical signal, they are converted to digital data and recorded for subsequent computer processing.

across track scanners4
Across-Track Scanners
  • The IFOV (C) of the sensor and the altitude of the platform determine the ground resolution cell viewed (or ground Sample Distance) (D) , and thus the spatial resolution. The angular field of view (E) is the sweep of the mirror, measured in degrees, used to record a scan line, and determines the width of the imaged swath (F). Airborne scanners typically sweep large angles (between 90º and 120º), while satellites, because of their higher altitude need only to sweep fairly small angles (10-20º) to cover a broad region. Because the distance from the sensor to the target increases towards the edges of the swath, the ground resolution cells also become larger and introduce geometric distortions to the images. Also, the length of time the IFOV "sees" a ground resolution cell as the rotating mirror scans (called the dwell time), is generally quite short and influences the design of the spatial, spectral, and radiometric resolution of the sensor.
across track scanners5
Across-Track Scanners
  • If you know how far away it is, and the angle that it subtends, you can calculate the GSD. For example, if something is 100 meters away and it fills 10 milliradians (mrad), it's 100 * 0.01 = 1 meter across. (A milliradian is 1/1000 of a radian, and a radian is about 57 degrees.)
  • The IFOV for airborne MS scanners typically ranges from an angle of 0.5 to 5 mrad . The smaller the IFOV, the higher the spatial resolution, or the smaller the details that can be recorded.
across track scanners6
Across-Track Scanners

Characteristics of the Daedalus Airborne Multispectral Scanner

across track scanners7
Across-Track Scanners
  • However, a larger IFOV provides a larger signal because energy is collected from a larger ground area
    • Higher radiometric resolution
    • Because the signal is much greater than the systems background electronic noise
  • Signal-to-noise-ratio = compares the level of a desired signal (such as music) to the level of background noise. The higher the ratio, the less obtrusive the background noise is. (in our case brightness levels)
across track scanners8
Across-Track Scanners
  • The signal-to-noise-ratio can be improved by detecting a wider range of wavelengths thereby increasing the total energy collected.
    • Trade-offs between spatial, spectral, radiometric res
  • Small IFOV means high spatial detail recorded, since an object can only be resolved independent of its background when the size of the object is equal to or greater than the size of the ground resolution element.
across track scanners9
Across-Track Scanners
  • Larger IFOV also means:
    • Signal greater than background noise
    • Higher signal-to-noise ratio
    • Longer dwell time
  • If the signal-to-noise ratio is increased by broadening the wavelength band over which a detector operates, spectral resolution is sacrificed.
across track scanners10
Across-Track Scanners
  • The incoming energy is separated into several spectral components that are independently sensed.
  • Dichroic grating (to separate thermal and non-thermal energy forms)
along track scanners
Along-track Scanners
  • Also known as PUSHBROOM Scanners
  • Sense a swath with an linear array of CCD’s
    • Because pushbroom scanners have no mechanical parts, their mechanical reliability can be very high.

Charge coupled devices, called CCD, are mostly adopted for linear array sensors. Therefore it is sometime called a linear CCD sensor or CCD camera. HRV of SPOT, MESSR of MOS-1, and OPS of JERS-1 are examples of linear CCD sensors as is the Itres CASI airborne system. As an example, MESSR of MOS-1 has 2048 elements with an interval of 14 mm. However CCD with 5,000 - 10,000 detector elements have been developed and available recently made available.

along track scanners12
Along-track Scanners
  • signal-to-noise can be greater because of less “Dwell Time” over the IFOV.
  • Advantages:
    • Smaller, lighter, no moving parts and consume less power
    • Longer life expectancy
    • Most widely used scanners for earth Remote Sensing
conical scanners
Conical Scanners
  • Circular track around the nadir
  • Commonly used for meteorological applications
  • Typically 1 km GSD
hyperspectral scanners
Hyperspectral Scanners
  • Detects tens or hundreds of narrow contiguous spectral bands simultaneously.
  • Imaging spectroscopy has been used in the laboratory by

physicists and chemists for over 100 years for identification

of materials and their composition.

  • Spectroscopy can be used to detect individual absorption

features due to specific chemical bonds in a solid, liquid, or

gas. With advancing technology, imaging spectroscopy has

begun to focus on identifying and mapping Earth surface


  • The concept of hyperspectral remote sensing began in the

mid-80's and to this point has been used most widely by

geologists for the mineral mapping.

hyperspectral scanners16
Hyperspectral Scanners
  • Actual detection of materials is dependent on the spectral coverage, spectral resolution, and signal-to-noise of the spectrometer, the abundance of the material and the strength of absorption features for that material in the wavelength region measured.
  • Hyperspectral and spectroscopy in a single system which remote sensing imaging includes large data sets and requires new processing methods.
hyperspectral scanners17
Hyperspectral Scanners
  • Data sets are generally composed of about 100 to 200 spectral bands of relatively narrow bandwidths (5-10 nm), whereas, multispectral data sets are usually composed of about 5 to 10 bands of relatively large bandwidths (70-400 nm)
  • Hyperspectral imagery is typically collected (and represented) as a data cube with spatial information collected in the X-Y plane, and spectral information represented in the Z direction
hyperspectral scanners18
Hyperspectral Scanners
  • There are many applications which can take advantage of hyperspectral remote sensing:

Atmosphere: water vapor, cloud properties, aerosols

Ecology: chlorophyll, leaf water, cellulose, pigments, lignin

Geology: mineral and soil types

Coastal Waters: chlorophyll, phytoplankton, dissolved organic materials, suspended sediments

Snow/Ice: snow cover fraction, grain size, melting

Biomass Burning: subpixel temperatures, smoke

Commercial: mineral exploration, agriculture and forest production