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1-1 EE/Ae 157a Introduction to the Physics of Remote Sensing Instructor: Dr. Jakob J. van Zyl e-mail: [email protected]

EE/Ae 157a Introduction to the Physics of Remote Sensingee157/lecture_note/Introduction.pdf · Introduction to the Physics of Remote Sensing Instructor: Dr. Jakob J. van Zyl e-mail:

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EE/Ae 157a

Introduction to the Physics of

Remote Sensing

Instructor: Dr. Jakob J. van Zyl

e-mail: [email protected]

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Transmission Spectrum Of Earth’s Atmosphere

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Types Of Remote Sensing Data

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SPECTRAL SIGNATURES OF VEGETATION

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Lava Flow and Impact Crater on Mars

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IKONOS Image of Sydney, Australia

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Mars Orbiter Camera Images of Gullies on Mars

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Gullies on Mars

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HIRISE Image of Shalbatana Vallis (Mars)

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Water Ice on Mars

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ASTER Images of Lago di Garda, Italy

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ASTER Image of Lago di Garda, Italy

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Visible (Left) and Short-Wave Infrared (Right) Images of

Escondida Mine, Chile

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Visible (left) and SWIR (right) Images of Saline Valley,

California

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Visible (left) and TIR (right) Images of Saline Valley, California

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Visible (left) and SWIR (Right) ASTER Images of a Forest Fire

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Hubble and Spitzer Images of Distant Galaxy

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Thermal Images of Erupting Lava on Hawaii

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Galileo Image of Erupting Lava on Io

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Radar Image of Canberra, Australia

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Radar Responses of Sub-Canopy Flooding

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Comparison of Microwave(right) and Visible (left) Imaging

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Visible (Top) and Microwave (Bottom) Images of the Nile

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Radar Images of Seasonal Changes in Patagonia

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Radar Image: Bahia, Brazil

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Shaded Relief: Bahia, Brazil

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Radar Interferometry Example: Los Angeles, California

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Topography of France Derived from Radar Interferometry

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Differential Interferometry

June 28, 1992, M 7.3, Landers, California Earthquake

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Differential Interferometry

Example: 1995 North Sakhalin Earthquake (M 7.6)

Reference: Tobita, et al., Earth Planets Space, 50, 1998

Radar

Differential

Interferogram

Deformation Model

Predictions

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Differential Interferometry Example: Glacier Movement

Reference:Joughin et al., Science, 1996

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Differential Interferometry Example: Glacier Tidal Flexing

Reference: Rignot, ESA SP-414, 1997

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EXAMPLE OF SCATTEROMETER DATA

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NSCAT data of typhoon (speed and direction)

near Japan. The cloud imagery is from the infrared

channel of the GMS-5 Japanese meteorological satellite.

NSCAT data of the Amazon rainforest in South

America.

Blue & Purple: tropical rain forest

Green & Yellow: woodland and savanna

NSCAT (NASA Scatterometer) Data Examples

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QuikScat Data Examples

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QuikScat Seasonal Response

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EXAMPLE ALTIMETER DATA

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Products Derived from Satellite Altimetry

Ocean Topography Wave Height

Water Vapor Total Electron Content

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Ocean Topography from Satellite Altimetry

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Hurricane Isabel meets North Carolina

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Mars Orbiter Laser Altimeter Products

Elevation

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EXAMPLE OF SOUNDER DATA

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Mars Polar Cap

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Buried Glaciers on Mars

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Galileo Image of Conamara Chaos on Europa

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TYPES OF REMOTE SENSING DATA

TYPE OF INFORMATION TYPE OF SENSOR

High Spatial Resolution and WideCoverage

Imaging Sensors; Cameras

High Spectral Resolution Spectrometers;Spectroradiometers

Limited Spectral Resolution and HighSpatial Resolution

Multispectral Mappers

High Spatial and Spectral Resolution Imaging Spectrometers

High Accuracy Intensity Measurement Radiometers; Scatterometers

High Accuracy Intensity Measurementwith Moderate Spatial Resolution

Imaging Radiometers

High Accuracy Measurement of Profile Altimeters; Sounders

Three-dimensional TopographicMapping

Scanning Altimeters; StereoImaging; Radar Interferometry