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David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

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Page 1: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Geology 5631

David E. Pitts

January 23, 2012Copyright 2012

Page 2: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

General Skills

-Conversion of Temperature

Method to convert temperature deg C to deg For deg F to deg C

1) Add 40

2) for deg C to deg F multiply by 9/5

for deg F to deg C multiply by 5/9

3) Subtract 40

Page 3: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

General Skills

-Conversion of Temperature

Method to convert temperature deg C to deg For deg F to deg C

1) Add 40

2) for deg C to deg F multiply by 9/5

for deg F to deg C multiply by 5/9

3) Subtract 40

Page 4: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Page 5: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

• Example 2

• The Curie point is that temperature above which magnetism is lost = 580 deg C. Earth's surface is about 30 deg C.

• If the temperature inside the Earth increases by 30 deg C each km of depth, at what depth does magnetism of the Earth's rocks disappear.

Page 6: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

General Skills

Julian Days are the number of days since 12 noonJanuary 1, 4713 B. C.

for example August 23, 2011 is Julian Day 2,455,796It is also day of year (DOY) 235

The date January 1, 4713 B. C. is day zero in the Revised Julian Calendar Named for Julius Scaliger in 1582 by his son. Convenience for astronomers (no leap years, leap centuries).

Julian Calendar (named after Julius Caesar) started in 45 B.C. It got the calendar back in sequence with the seasons. It had leap years, however it too, became out of sync with the seasonsReplaced with the Gregorian calendar in 1582.

Page 7: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

•Remote sensing involves acquiring information about an object without touching it.

•The literal interpretation includes images from:Electron microscopesMRI (magnetic resonance imaging)CAT (computerized Axial Tomagraphy)PET (Positron Emision Tomography)Images taken by

movie film camerasvideo camerasstill film and digital cameras

Images taken fromaircraft

Earth orbital satellitesPlanetary spacecraftAstronomical spacecraft (e.g. Hubble)

Page 8: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

• Passive Remote Sensing

– Instruments that depend solely on energy emitted or reflected from the scene

• e.g. cameras, infrared scanners & microwave scanners

• Active Remote Sensing

– Instruments that send a pulse of energy which is reflected from the scene

• e.g. flash camera, Lidar (Laser), Radar, Altimeters

Page 9: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

• History of Remote Sensing

– 1839 Daguerreotype

– WW I Aerial Photography

– 1930’s Radar Development

– WW II near IR photography

– 1960 TIROS weather satellite

– 1965 NASA aircraft program

– 1969 Apollo 9 (feasibility of Landsat - 1)

– July 23, 1973 ERTS (Landsat -1)

Page 10: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

NASA Earth Resources Division (Manned Spacecraft Center-Houston TX)

Began in November 1964 - Convair-240A (Leo Childs)Lockheed P-3A - 1967 (from Navy)RB-57F - July 1969 (USAF)Lockheed Hercules C-130B - Sept 1969

Page 11: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

• Earth Observations Aircraft Program

• Some of the key personnel

– Leo Childs

– Olav Smistad

– Joe Algranti

– Al Watkins

Year Budget Personnel Missions

– 1965 $200K 22 11

– 1966 $840K 40 42

– 1967 $2.7M 83 57

– 1968 $5.97M 153 77

– 1969 $8.8M 179 80

– 1970 $10.9M 236 190

Page 12: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Visible - Near Infrared Remote Sensing

Advantages

Detects chemical composition of targets

Less sensitive to physical structure of target than radar

Page 13: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Visible - Near Infrared Remote Sensing

Atmospheric Transmission 0.4 - 2.5 m

Page 14: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Visible - Near Infrared Remote Sensing

Green leaf reflectance - Palisade layerNear IR leaf reflectance - spongy leaf tissue

Leaf of Plant

Page 15: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Visible - near Infrared Remote Sensing

Near Infrared (0.8 - 1.1 m) has higher leaf transmittance

G

Page 16: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Lee et. al. (1997)

Green

Page 17: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Thermal Infrared Remote Sensing

Advantages

Detects temperature of targets

Detects chemical composition of targets

Less sensitive to physical structure of target than radar

Page 18: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Emissive Spectrum Atmospheric Transmission 4.0 - 14.0 m

Page 19: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Radar Remote Sensing

Three principal advantages

Independent of sun illumination

Most clouds are transparent

Detects size, shape, and electrical properties of target

Page 20: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Radar Remote Sensing

Band Wavelength__________________________________________

VHF 1 - 5 mP-Band 77-107 cmL-Band 15-30 cmS-Band 7.5-15 cmC-Band 3.75-7.5 cmX-Band 2.40-3.75 cmKu-Band 1.67-2.40 cmK-Band 1.18-1.67 cmKa-Band 0.75-1.18 cm

Page 21: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Radar Remote Sensing

Penetration is a function of the amount of biomass in a canopy

Longer wavelengths will penetrate more and “see” more soil.

Radar 1 cm Wavelength Radar 1 m Wavelength

Page 22: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Radar Remote Sensing

Shorter wavelengths are affected by smaller canopy components(e.g. K, X, and C bands)

- leaves and twigs

Longer wavelengths are affected by larger canopy components(e.g. L, P, and VHF bands)

- bole- stems- ground surface

Page 23: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Radar Remote Sensing - Effect of the Atmosphere

Page 24: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Radar Remote Sensing

Target Brightness

Size relative to radar wavelength

Shape relative to radar wavelength

Proportional to Dielectric Constant(increases with water content)

Page 25: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Radar Remote Sensing

Noise in SAR images (speckle) should be removed

- median filter- adaptive filter

Texture in image

Analyzed using Haralik co-occurrence matricesto create additional bands(e.g. Verhoeye and De Rover (1996)

Page 26: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Radar Remote Sensing

Research has shown that multiple wavelength, multiple polarization SARS are needed for:

Optimal Vegetation MappingSoil Moisture EstimationBiomass Estimation

Page 27: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Hyperspectral Remote Sensing

Page 28: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Hyperspectral Remote Sensing

Utilizes hundred of bands - provides spectroscopyfor each pixel in image

Reflective spectroscopy of surfaces

broad spectral signatures - nonunique

Not like sharp spectra of gases

Mixed pixels confound problem

Page 29: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Hyperspectral Remote Sensing

Analysis Technique

Dark object subtraction (e.g. turbid free lakes)

Band ratios

Resulting signatures can be compared with:

field spectra

laboratory spectra

spectral data banks

Page 30: David E. Pitts Remote Sensing Principles & History Geology 5631 David E. Pitts January 23, 2012 Copyright 2012

David E. Pitts

Remote Sensing Principles & HistoryRemote Sensing Principles & History

Hyperspectral Remote Sensing

HICO/Raids on the International Space Station is the onlycurrently operating Hyperspectral Space instrument.

Terra (NASA) - MODIS 36 bands launch Dec. 18, 1999

Obview-4 (Warfighter) orbital Science Corp - launch failed

Hyperion - Launched Nov 2000 operated 1 yearUSGS provisions these images

•EnMap - pushbroom hyperspectral scanner (ESA)–30 m resolution–0.42 to 2.4 m (184 bands)–Launch 2013–Sun synchronous polar orbit