non photographic sensors
TRANSCRIPT
![Page 1: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/1.jpg)
Non-photographic SensorsNon-photographic Sensors
Daniel L. CivcoWB Young 310
Daniel L. CivcoWB Young 310
NRE 2000NRE 2000IntroductionIntroductionto Geomaticsto Geomatics
Spring 2010Spring 2010
NRE 2000NRE 2000IntroductionIntroductionto Geomaticsto Geomatics
Spring 2010Spring 2010
![Page 2: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/2.jpg)
Electromagnetic Spectrum
Electromagnetic Spectrum
Continuum of wavelengths of electromagnetic radiation, only a very small portion of which includes visible light.
Gamma Rays
X Rays Ultraviolet Infrared Microwave Radio
0.4m – 0.7m 0.03 Å – 400 Å 400 Å – 0.4 m 0.7 m – 0.1cm 0.2cm – 20cm 18cm – 3 x 106 m
Increasing Wavelength
Increasing Frequency
Vis
ible
![Page 3: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/3.jpg)
Remote Sensing ProcessRemote Sensing Process
• Energy Source or Illumination (A)• Radiation and the Atmosphere (B)• Interaction with the Target (C)• Recording of Energy by Sensor (D) • Transmission, Reception, and
Processing (E)• Interpretation and Analysis (F)• Application (G)
• Energy Source or Illumination (A)• Radiation and the Atmosphere (B)• Interaction with the Target (C)• Recording of Energy by Sensor (D) • Transmission, Reception, and
Processing (E)• Interpretation and Analysis (F)• Application (G)
![Page 4: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/4.jpg)
Remote Sensing Data Collection Sensor Systems
Remote Sensing Data Collection Sensor Systems
• Remotely sensed data may be collected using a variety of instruments, including:– Analog Frame Photography – Digital Frame Camera Area Arrays – Multispectral Scanning Systems – Linear Array Pushbroom Sensors – Linear Array Whiskbroom Scanners – Hyperspectral Area Arrays
• Remotely sensed data may be collected using a variety of instruments, including:– Analog Frame Photography – Digital Frame Camera Area Arrays – Multispectral Scanning Systems – Linear Array Pushbroom Sensors – Linear Array Whiskbroom Scanners – Hyperspectral Area Arrays
![Page 5: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/5.jpg)
Analog Frame Photography Data Collection Analog Frame Photography Data Collection
![Page 6: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/6.jpg)
Comparison of Four Common Film TypesComparison of Four Common Film Types
BW BW
BWIR BWIR
Color Color
CIR CIR
![Page 7: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/7.jpg)
Digital Frame Photography Data Collection Digital Frame Photography Data Collection
![Page 8: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/8.jpg)
Wavelength (µm)
Digital Image NomenclatureDigital Image Nomenclature
![Page 9: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/9.jpg)
0.47 meter resolution0.47 meter resolution
Four BandsFour BandsBlueBlue
GreenGreenRedRed
Near InfraredNear Infrared
0.47 meter resolution0.47 meter resolution
Four BandsFour BandsBlueBlue
GreenGreenRedRed
Near InfraredNear Infrared
Single frameSingle frame
ADAR MultispectralADAR MultispectralADAR MultispectralADAR Multispectral
1500 columns1500 columns
750 rows750 rows
![Page 10: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/10.jpg)
9 frame9 framemosaicmosaic
ADAR MultispectralADAR MultispectralADAR MultispectralADAR Multispectral
![Page 11: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/11.jpg)
Leica ADS40 MultispectralLeica ADS40 MultispectralLeica ADS40 MultispectralLeica ADS40 Multispectral
![Page 12: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/12.jpg)
John Deere Agri ServicesJohn Deere Agri ServicesJohn Deere Agri ServicesJohn Deere Agri Services
Go to CLEAR Salt Marsh Site Go to CLEAR Salt Marsh Site http://clear.uconn.edu/projects/marshlis/Comparison.htmlhttp://clear.uconn.edu/projects/marshlis/Comparison.html
![Page 13: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/13.jpg)
Electromagnetic Spectrum
Electromagnetic Spectrum
Continuum of wavelengths of electromagnetic radiation, only a very small portion of which includes visible light.
Gamma Rays
X Rays Ultraviolet Infrared Microwave Radio
0.4m – 0.7m 0.03 Å – 400 Å 400 Å – 0.4 m 0.7 m – 0.1cm 0.2cm – 20cm 18cm – 3 x 106 m
Increasing Wavelength
Increasing Frequency
Vis
ible
![Page 14: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/14.jpg)
Simple Non-Imaging Spot Radiometer
Simple Non-Imaging Spot Radiometer
![Page 15: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/15.jpg)
Multispectral Scanner Data Collection Multispectral Scanner Data Collection
![Page 16: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/16.jpg)
Multispectral Scanner OperationMultispectral Scanner Operation
Thermal
VisibleNear andMiddle IR
![Page 17: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/17.jpg)
Raytheon 250Raytheon 250 Thermal ScannerRaytheon 250Raytheon 250 Thermal Scanner
Thermal imager on mount for aerial scanning.
![Page 18: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/18.jpg)
Daytime Thermal Infrared, Middleton, WI 2:40 PM, September 17
Thermal Infrared ImagingThermal Infrared Imaging
![Page 19: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/19.jpg)
Nighttime Thermal Infrared, Middleton, WI 9:50 PM, September 17
Thermal Infrared ImagingThermal Infrared Imaging
![Page 20: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/20.jpg)
Daytime Thermal Infrared, Oak Creek Power Plant, 1:50 PM, March 27
Thermal Infrared ImagingThermal Infrared Imaging
![Page 21: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/21.jpg)
Nighttime Thermal Infrared, Iowa City, 2:00 AM, January Air T = -4o C
Thermal Infrared ImagingThermal Infrared Imaging
![Page 22: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/22.jpg)
Surface IsothermsSurface Isotherms
Powerton Cooling Pond, Daedalus Therma; Scanner
![Page 23: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/23.jpg)
Surface IsothermsSurface Isotherms
Powerton Cooling Pond, Daedalus Thermal Scanner
![Page 24: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/24.jpg)
Surface IsothermsSurface Isotherms
Powerton Cooling Pond, Daedalus Therma; Scanner
![Page 25: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/25.jpg)
Multispectral Scanner OperationMultispectral Scanner Operation
![Page 26: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/26.jpg)
Multispectral Scanner OperationMultispectral Scanner Operation
![Page 27: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/27.jpg)
Cross-track versus Along-track
Cross-track versus Along-track
“Whisk broom” “Push broom”
Example: Landsat Example: SPOT
![Page 28: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/28.jpg)
Scanner (WhiskBroom) Data Collection Scanner (WhiskBroom) Data Collection
![Page 29: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/29.jpg)
Linear Array (Pushbroom) Data CollectionLinear Array (Pushbroom) Data Collection
![Page 30: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/30.jpg)
LandsatLandsat SPOTSPOT
Whisk Broom Push Broom
![Page 31: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/31.jpg)
Area Array Hyperspectral Data Collection Area Array Hyperspectral Data Collection
![Page 32: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/32.jpg)
Typical image cube generated from hyperspectral imaging
Hyperspectral ImageryHyperspectral ImageryHyperspectral ImageryHyperspectral Imagery
![Page 33: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/33.jpg)
A rendition of hyperspectral data cube with false-color 3-band image on the front face of the cube and pseudo-colored edges of bands shown on the bottom and side of the cube, constructed from AVIRIS data from the area of Cuprite, Nevada.
Hyperspectral ImageryHyperspectral ImageryHyperspectral ImageryHyperspectral Imagery
![Page 34: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/34.jpg)
Ingredients of an ImageIngredients of an ImageIngredients of an ImageIngredients of an Image
Earth's SurfaceEarth's Surface
brightness, pollution, other real world activities
Pixels are MIXED
brightness, pollution, other real world activities
Pixels are MIXED
remote sensingsystem or scanner
remote sensingsystem or scanner
Raster ImageRaster ImageRows and Columns of Pixels8 bits = 2 x 2 x 2 x 2 x 2 x 2 x 2 x 2 = 256 Shades11 bits = 256 x 2 x 2 x 2 = 2048 Shades
Rows and Columns of Pixels8 bits = 2 x 2 x 2 x 2 x 2 x 2 x 2 x 2 = 256 Shades11 bits = 256 x 2 x 2 x 2 = 2048 Shades
Adapted from Skip Maselli
![Page 35: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/35.jpg)
Digital Image Data Properties
Digital Image Data Properties
Pixel Values
Ikonos True Color Composite
![Page 36: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/36.jpg)
Digital Image Data Properties
Digital Image Data Properties
Pixel Values
True Color Composite
![Page 37: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/37.jpg)
Digital Image Data Properties
Digital Image Data Properties
Pixel Values
Band 1 - Blue
![Page 38: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/38.jpg)
Digital Image Data Properties
Digital Image Data Properties
Spatial Profile
Green Green
Green Green
Water Water
Water Water
Trees Trees
Trees Trees
Fairway Fairway
Fairway Fairway SoilSoil SoilSoil
??????
![Page 39: Non Photographic Sensors](https://reader033.vdocuments.mx/reader033/viewer/2022061203/547e4e3db4af9f35278b4575/html5/thumbnails/39.jpg)
Non-photographic SensorsNon-photographic Sensors
Daniel L. CivcoWB Young 310
Daniel L. CivcoWB Young 310
NRE 2000NRE 2000IntroductionIntroductionto Geomaticsto Geomatics
Spring 2010Spring 2010
NRE 2000NRE 2000IntroductionIntroductionto Geomaticsto Geomatics
Spring 2010Spring 2010