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Introduction to Remote Sensing FEG 350352 ERE 552

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... e.g. MSS, TM, ETM , SPOT. Hyperspectral e.g. AVIRIS, HYDICE. High spatial resolution e.g. IKONOS, QuickBird, Emerge. Low spatial resolution e.g. AVHRR, GOES ... – PowerPoint PPT presentation

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Title: Introduction to Remote Sensing FEG 350352 ERE 552


1
Introduction to Remote Sensing FEG 350/352 ERE
552
  • Lindi Quackenbush
  • 310A Bray Hall
  • ljquack_at_esf.edu

2
Remote Sensing
  • General definition
  • Study objects without physically contacting them
  • Applied definition
  • Measure properties of objects on Earths surface
  • Use data acquired from aircraft and satellites

3
Remote Sensing
  • Formal definition
  • Acquisition and measurement of property(ies) of
    phenomenon by recording device not in physical
    contact with feature(s)
  • RS techniques
  • Measure force fields, EM radiation, or acoustic
    energy
  • Use cameras, radiometers, scanners, lasers,
    radios, radar systems, sonar, thermal devices,
    seismographs, magnetometers, gravimeters and
    other instruments

4
The Remote Sensing System
5
History of Remote Sensing
  • The beginning of RS
  • Technology started with photography in early 19th
    century
  • Balloons used for aerial photos in 1840s
  • Photographic camera most common sensor for 150
    years
  • Higher altitude image acquisitions
  • 1940s rockets launched cameras to high
    altitudes for still or movie collection
  • The first non-film camera sensors on unmanned
    spacecraft used to observe clouds

6
History of Remote Sensing (contd)
  • Transition to humans in space

7
Modern Space Remote Sensing
  • Modern RS
  • Satellites designed for capture of earth resource
    information
  • Landsat Multispectral Scanner System launched in
    1972
  • Characteristics of MSS
  • Consistent, synoptic, high resolution images of
    earth
  • 4 spectral bands, 80m spatial resolution, large
    coverage area (185 ? 185 km)
  • Repeated coverage every 18 days
  • Digitally formatted imagery

8
Modern Space Remote Sensing cont.
  • Since 1972
  • Many satellites and sensors launched
  • Sponsored by governments and commercial sector
  • Additional sensors available using airborne
    platform
  • Types of sensors extended
  • Multispectral e.g. MSS, TM, ETM, SPOT
  • Hyperspectral e.g. AVIRIS, HYDICE
  • High spatial resolution e.g. IKONOS, QuickBird,
    Emerge
  • Low spatial resolution e.g. AVHRR, GOES

9
Applications of Remote Sensing
  • Atmosphere and meteorology
  • Weather forecasting
  • Global change detection and monitoring
  • Atmospheric ozone depletion, deforestation,
    global warming
  • Military
  • Surveillance
  • Monitoring
  • Mapping
  • Topography, land use, civil engineering

10
Applications of Remote Sensing
  • Environmental assessment and monitoring
  • Urban growth, forestry monitoring, hazardous
    waste monitoring
  • Agriculture
  • Crop condition, yield prediction, soil erosion
  • Renewable natural resources
  • Wetlands, soils, forests, oceans

11
Stages in Applying RS
  • Define issue
  • What is problem?
  • Is RS an appropriate solution?
  • Consider issues with RS system
  • Energy source
  • Atmospheric issues
  • Properties of object of interest
  • Sensor characteristics
  • Processing procedures
  • Assessing end product
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