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    Remote Sensing

    Geog 170

    Lecture 9

    January 21, 2003

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    Remote Sensing

    Practice of gathering information via asensor that is not in direct contact with the

    object being observed Such as using our eyes (the sensors) to

    observe the world

    Observations are based on how objects

    reflect energy Energy source may be the sun (light) or may

    be generated by the sensor

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    Remote Sensing and Maps

    Remote sensing data is becoming a

    primary source of cartographic information

    As raw data

    Data products derived from remote sensing

    imagery

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    Projections of future

    urban development in

    northern Virginia given

    three different policy

    scenarios.

    Background image: Landsat 7

    ETM+, bands 4, 3, 7, acquired

    August 2000.

    Source: Mid-Atlantic RESAC

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    The Electromagnetic (EM)

    Spectrum

    The EM spectrum describes the range ofwavelengths that make up electromagneticradiation (energy) Some things, like the sun or radioactive objects, emit

    electromagnetic radiation

    Everything reflects or absorbselectromagneticradiation

    Patterns of reflection and/or emission are calledsignatures, and can be unique for differentobjects

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    The EM Spectrum

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    EM Reflectance Signatures

    0.4 0.7Visible spectrum

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    EM Reflectance Signatures

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    Classification

    Remote sensing imagery is usually classifiedbefore it is put on a map

    Computer algorithms are developed that canrecognize specific reflectance patterns acrossthe EM spectrum Those patterns are translated into categories, such as

    land use or land cover categories

    Aerial photographs are often classified manually(photo-interpretation), an extremely timeconsuming task

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    Terminology

    Pixel: picture element Rectangular area on the ground for which a remote

    sensing instruments record information

    Remotely sensed images are made of many pixels The minimum mappingunit for a remotely sensed

    image

    Related to the resolutionof the image

    Resolution: the size of the area on the groundthat is captured A high resolution image is made up of pixels that are

    very small; low resolution image is made up of pixelsthat are very large.

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    Types of Remote Sensing

    Instruments

    Many, many types of instruments

    Differentiated by:

    Spectral range Broad-band (panchromatic), narrow-band, multispectral

    Signal source

    Active vs. passive

    Detector location On, under, or above the earths surface

    Airborne, satellite

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    Passive Remote Sensing

    Detects naturally generated energy that is

    either emitted or absorbed by objects

    The sun is typically the energy source, andthe signal results when light is either reflected

    or absorbed.

    Example: Our eyes are passive remote sensors

    Aerial photographs, most satellite imagery

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    Color-infrared

    aerial photograph

    This image of Herndon, VA

    was taken in Dec. 1988.

    Because green vegetation

    reflects strongly in the near-

    infrared wavelengths, itappears redin this image.

    Deciduous trees are evident,

    but have lost their leaves and

    are a greenishcolor. Waterabsorbs most wavelengths

    and will appearblackin most

    cases. Concrete and bare

    ground are highly reflective

    and appear white.

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    Wilkes-Barre, PA

    Industrial Corridor

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    Washington, DC

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    Richmond, VA

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    Active Remote Sensing

    The instrument transmits a signal that is

    reflected off a surface

    The reflected signal is recorded by thesensor

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    Radar

    Wavelengths of radar signals can penetrate

    clouds that may obscure the earths surface

    Since radar is an active remote sensor, it canoperate day or night

    Sensitive to how moisture changes reflective

    properties of soil or clouds

    Sensitive to texture (smoothness or roughness)

    of the earths surface

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    Soil Moisture (wetlands)These images are for a section of the Patuxent River on two different dates. The

    soil in the November image has less moisture, while the soil in the April image is

    wetter, resulting in a brighter image.

    Source: Megan Weiner, UMD Geography

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    LIDAR

    Light Detection and Ranging

    LIDAR sensors emit laser energy and

    record how fast that energy returns to thesensor

    Can be used to detect distance, speed, or

    rotation of objects on earth

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    Source: University

    of Maryland VCL

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    Source: University of Maryland VCL

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    Mission to Planet Earth

    Earth observation from space

    The National Aeronautical and Space Administration

    (NASA) made earth observation and earth science a

    top priority in the early 1990s.

    A proliferation of earth observing satellites have been

    launched to monitor the land, water and atmospheric

    systems on earth.

    Over 25 satellites are part of the Mission to Planet

    Earth initiative; satellites usually carry several

    different remote sensing instruments

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    ADEOS-MIDORI/TOMS Objectives: Take

    remote sensing

    measurements of

    Earths

    atmosphere, land

    surface and the

    oceans in order

    to facilitate the

    study of ozone

    depletion,

    greenhousegasses and the

    El Nino

    phenomenon.

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    GOES

    A polar orbiting

    weather

    satellite. A

    GOES satellitehas been in

    operation since

    1968.

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    The Landsat Program

    Began

    observing

    the earth in

    1972. First satellite

    launched to

    specifically

    map the land

    instead of

    the water or

    atmosphere.

    Mozambique coastline

    on August 22, 1999

    and on March 1,

    2000 after heavy rains

    caused severe

    flooding.

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    The Terra Satellite

    NASAs Earth Observing System (EOS)

    flagship satellite, launched December

    1999. Determine how life on earth affects, and

    is affected by, changes within the climate

    system (http://terra.nasa.gov/)

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    Fires in Venezuela and

    Columbia. This image

    was captured Dec. 14,

    2002 by the MODISsensor, one of the many

    sensors aboard the

    Terra satellite.

    Computer algorithmshave been developed to

    identify active fires,

    shown here in red.

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    These are the first

    global measurements

    of carbon monoxide

    (CO). Note theconcentration of CO

    in the northern

    hemisphere in April

    2000, attributable to

    the burning of fossil

    fuels in industrialized

    nations. In the

    October images, fires

    near the equatorexplain the high CO

    measurements.