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REMOTE SENSING OF NATURAL RESOURCES

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Many new satellite systems, and continue to develop new systems. ... Satellite Radio - Atmospheric Conditions - Oceanography - Land Use. Remote Sensing Basics ... – PowerPoint PPT presentation

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Title: REMOTE SENSING OF NATURAL RESOURCES


1
Satellite Imaging
2
Remote Sensing Basics
  • Many new satellite systems, and continue to
    develop new systems.
  • Range in applications from
  • - Global Positioning Systems
  • - Satellite Radio
  • - Atmospheric Conditions
  • - Oceanography
  • - Land Use

3
Remote Sensing Basics
  • Types of Remote Sensing
  • Active (RADAR) Energy supplied from the source
  • Passive Energy supplied from the sun.
  • Imaging A raster image is developed. Important
    when spatial relationships are critical.
  • Non-Imaging Gathers information without
    locating the object. When spectral information
    is more important than spatial.

4
Issues of Resolution
  • Can be applied to any type of remote sensing.
  • Resolution includes
  • Spatial Spectral
  • Temporal Radiometric

5
Remote Sensing Basics
  • Light Energy
  • Portions of the spectrum are grouped together and
    referred to as bands

6
Remote Sensing Basics
  • Spectral resolution refers to the number of
    individual bands used.
  • High spectral resolution - Data in many discrete
    wavelengths are collected. These systems are
    referred to as HYPERSPECTRAL.

7
Remote Sensing Basics
Low spectral resolution - Bands are designed to
collect data over a wider span of wavelengths.
These systems are often referred to as
MULTISPECTRAL.
8
Remote Sensing Basics
  • Spectral resolution is important because
  • - Reflectance in certain wavelengths may tell
    you something about the object.
  • So, you must understand a little bit about light
    physics and a little bit about the objects you
    are trying to find in an image when planning a
    satellite acquisition.

9
Remote Sensing Basics
  • Measured energy is a function of
  • Atmospheric effects
  • Object characteristics
  • Sun angle
  • Wavelength
  • Surface geometry

10
Remote Sensing Basics
  • Sun angle
  • Because light is scattered as it approaches or
    leaves the earths surface
  • The farther away we are from the sun, the
    greater the amount of scatter, then
  • The weaker the correlation between spectral
    signature and the object of interest.
  • The distance between the earth and the sun is
    referred to as Path Length.
  • This is why most satellite acquisitions occur
    between 10 am and 2 pm.

11
Remote Sensing Basics
  • Wavelength
  • Shorter wavelengths have a greater tendency to
    scatter.
  • Example Sunsets are orange and red
  • As the sun sets, the path length between the sun
    and the surface increases.
  • There is a greater tendency for light to scatter.

12
Remote Sensing Basics
  • Nearly all the blue and green light is
    scattered away by the time it reaches the earth.
  • Leaving behind orange and red.

13
Remote Sensing Basics
  • Surface Geometry

14
Spatial Resolution
(Holle 1997, Stennis Space Center)
15
Radiometric Resolution
  • This means for each band a digital value will
    be assigned.
  • The digital value is dependent upon the amount of
    energy reaching the center and the radiometric
    resolution of the sensor.
  • An 8-bit system can assign a DV of 0-255.
  • A perfect reflector will receive a DV of 255.

16
Radiometric Resolution
(Holle 1997, Stennis Space Center)
17
Temporal Resolution
  • How often do you require data?
  • Yearly
  • Monthly
  • By Season

18
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