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Part _ 1
Emerging New Subjects and their applications
Monday, August 11, 2014PIAIP_NESPAK 2
Introduction to New Fields
Remote
Sensing (RS)
Geographic
Information
System (GIS)
Geomatics
Monday, August 11, 2014PIAIP_NESPAK 3
PART - 01
Remote Sensing
Monday, August 11, 2014PIAIP_NESPAK 4
Introduction to Basics
Monday, August 11, 2014PIAIP_NESPAK 5
Remote Sensing (RS)
 “The art and science of obtaining information about an object without being in
direct contact with the object” (Jensen 2000).
 The science (and art) of acquiring information about an object, without
entering in contact with it, by sensing and recording reflected or emitted
energy and processing, analyzing, and applying that information.
 Information usually gathered from spacecraft or an airplane.
 In from of aerial photographs to satellite images.
Monday, August 11, 2014PIAIP_NESPAK 6
Remote Sensors …
Monday, August 11, 2014PIAIP_NESPAK 7
Eyes Ears
Binoculars Digital Camera
Pigeon Cameras
1903
Types of Remote Sensing
Types
Terrestrial
RS
Optical 300nm – 3000nm
Thermal >3000nm-14,000nm
Microwave 1mm-1m
Celestial
RS
Monday, August 11, 2014PIAIP_NESPAK 8
VISION
Monday, August 11, 2014PIAIP_NESPAK 9
HUMAN’s EYE
Rods (to see objects at night) = 7 million
Cones (to see colors) = 100 million
CAT’s EYE
Rods (to see objects at night) =~ 21 million
Cones (to see colors) =~ far less
The basic principle of remote sensing is based upon the interaction of electromagnetic radiation with atmosphere
and the earth. Electromagnetic radiation reflected or emitted from an object is the usual source of remote sensing data.
Monday, August 11, 2014PIAIP_NESPAK 10
Monday, August 11, 2014PIAIP_NESPAK 11
Wavelength
Frequency
(how many times peak
passes per second)
Light - can be thought of as a wave in the 'electromagnetic field' of the universe
A wave can be characterized by its wavelength or its frequency
Remote sensing is
concerned with the
measurement of EMR
returned by the earth’s
natural and cultural
features that first receive
energy from the sun or an
artificial source such as a
radar transmitter.
Blue green yellow red
1020 Hz 1018 Hz 1016 Hz 1014 Hz 1012 Hz 1010 Hz
1 pm 10pm 10 nm 1 micron 100 microns 1 mm 100 mm
vi-
si-
ble
Gamma
Rays
X-Rays UV N.
IR
Th.
IR
Microwaves
Radar
TV FM
Radiowaves
0.4 m 0.5 m 0.6 m 0.7 m
Mid
IR
Far IR
Visible light contains light
from 0.4 to 0.7 micrometers
Infrared light from 0.1
micrometers to 1 millimeter
Monday, August 11, 2014PIAIP_NESPAK 12
Monday, August 11, 2014PIAIP_NESPAK 13
Resolutions
Monday, August 11, 2014PIAIP_NESPAK 14
Resolutions
SPATIAL
Smallest
identifiable area as
a discrete object in
an image
SPECTRAL
No. of frequencies
recorded = sensors
TEMPORAL
Time interval
between
measurements
RADIOMETRIC
Intensities
identified by
sensors
Image is the Pictorial Presentation of Raster. Pixels are called as Picture elements. Size of Pixel gives the Resolution of the image.
Smaller the Pixel size Larger will the Resolution. Every Raster is not image but every image is a Raster.
Monday, August 11, 2014PIAIP_NESPAK 15
SPATIAL RESOLUTION
* Vegetation in Yellowish green, * Vegetation in Red.
* Water in Gray, * Water in Black.
Monday, August 11, 2014PIAIP_NESPAK 16
SPECTRAL RESOLUTION
Monday, August 11, 2014PIAIP_NESPAK 17
Spectral
Resolution
MSS Multi-spectral Bands: 3-14
Hyper-spectral Bands: 24-224
Temporal Resolution (Example: for satellite in Red and Black colors)
Monday, August 11, 2014PIAIP_NESPAK 18
Time
July 1 July 12 July 23 August 3
11 days
16 days
July 2 July 18 August 3
TEMPORAL RESOLUTION
Monday, August 11, 2014PIAIP_NESPAK 19
1023
6-bit range
0 63
8-bit range
0 255
0
10-bit range
2-bit range
0 4
RADIOMETRIC RESOLUTION
Resolution of Satellite Systems
Monday, August 11, 2014PIAIP_NESPAK 20
SPATIAL RESOLUTIONS
 NOAA-AVHRR (1100 m)
 GOES (700 m)
 MODIS (250, 500, 1000 m)
 Landsat TM and ETM (30 – 60 m)
 SPOT (10 – 20 m)
 IKONOS (4, 1 m)
 Quick-bird (0.6 m)
*LAC: Local Area Coverage
*GAC: Global Area Coverage
Monday, August 11, 2014PIAIP_NESPAK 21
Serial
No.
Satellites
Altitude
(km)
Bands (µm) Multi-spectral (m)
Panchromati
c (m)
Thermal
(m)
Purpose
Monday, August 11, 2014PIAIP_NESPAK 22
October 23, 2005 Dust storm in Chad at 250 m resolution, MODIS (Moderate Resolution Imaging Spectro radiometer) NASA Moderate
Resolution Imaging Spectrometer, 705 km, sun-synchronous orbit, 1-2 day for all of earth, 250 m, 500 m, 1000 m resolution. NASA
Monday, August 11, 2014PIAIP_NESPAK 23
MODIS (250 m)
30 m resolution and 60 m resolution (thermal), 705 km orbit, 7 bands including thermal infrared, Manhattan, KS. Image, 2000 (USGS-
EROS)
Monday, August 11, 2014PIAIP_NESPAK 24
LANDSAT (30 m)
Monday, August 11, 2014PIAIP_NESPAK 25
IKONOS (04 m)
MSS
Monday, August 11, 2014PIAIP_NESPAK 26
SPOT (2.5 m)
Monday, August 11, 2014PIAIP_NESPAK 27
IKONOS (01 m)
(Panchromatic)
Monday, August 11, 2014PIAIP_NESPAK 28
Quick Bird (0.6 m)
Monday, August 11, 2014PIAIP_NESPAK 29
Imagery and their price ranges
Monday, August 11, 2014PIAIP_NESPAK 30
Imagery free of cost
Monday, August 11, 2014PIAIP_NESPAK 31
REFERENCES
Monday, August 11, 2014PIAIP_NESPAK 32
1. Using Geographic Information System (GIS) to Manage Civil Engineering Projects By Asmaa Abdul
Jabbar
2. Longley et al (2005) Geographic Information Systems and Science. 2nd Edition. John Wiley and Sons
Ltd. (Chapter 14, pages 317-319)
3. www.esri.com/engineering
4. http://webhelp.esri.com/arcpad/8.0/userguide/index.htm#capture_devices/concept_intro.htm
Special Acknowledgement
Industrial partners: ESRI, Danish Hydraulic Institute, Camp, Dresser and McKee, Dodson and Associates
Government partners:
Federal: EPA, USGS, Corps of Engineers (Hydrologic Engineering Center)
State: Texas Natural Resource Conservation Commission, Texas Water Development Board
Local: Lower Colorado River Authority, City of Austin, Dept. of Watershed Protection
Academic Partners: University of Texas, Brigham Young University, Utah State University
Monday, August 11, 2014PIAIP_NESPAK 33

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Introduction to Remote Sensing_2014

  • 2. Emerging New Subjects and their applications Monday, August 11, 2014PIAIP_NESPAK 2
  • 3. Introduction to New Fields Remote Sensing (RS) Geographic Information System (GIS) Geomatics Monday, August 11, 2014PIAIP_NESPAK 3
  • 4. PART - 01 Remote Sensing Monday, August 11, 2014PIAIP_NESPAK 4
  • 5. Introduction to Basics Monday, August 11, 2014PIAIP_NESPAK 5
  • 6. Remote Sensing (RS)  “The art and science of obtaining information about an object without being in direct contact with the object” (Jensen 2000).  The science (and art) of acquiring information about an object, without entering in contact with it, by sensing and recording reflected or emitted energy and processing, analyzing, and applying that information.  Information usually gathered from spacecraft or an airplane.  In from of aerial photographs to satellite images. Monday, August 11, 2014PIAIP_NESPAK 6
  • 7. Remote Sensors … Monday, August 11, 2014PIAIP_NESPAK 7 Eyes Ears Binoculars Digital Camera Pigeon Cameras 1903
  • 8. Types of Remote Sensing Types Terrestrial RS Optical 300nm – 3000nm Thermal >3000nm-14,000nm Microwave 1mm-1m Celestial RS Monday, August 11, 2014PIAIP_NESPAK 8
  • 9. VISION Monday, August 11, 2014PIAIP_NESPAK 9 HUMAN’s EYE Rods (to see objects at night) = 7 million Cones (to see colors) = 100 million CAT’s EYE Rods (to see objects at night) =~ 21 million Cones (to see colors) =~ far less
  • 10. The basic principle of remote sensing is based upon the interaction of electromagnetic radiation with atmosphere and the earth. Electromagnetic radiation reflected or emitted from an object is the usual source of remote sensing data. Monday, August 11, 2014PIAIP_NESPAK 10
  • 11. Monday, August 11, 2014PIAIP_NESPAK 11 Wavelength Frequency (how many times peak passes per second) Light - can be thought of as a wave in the 'electromagnetic field' of the universe A wave can be characterized by its wavelength or its frequency Remote sensing is concerned with the measurement of EMR returned by the earth’s natural and cultural features that first receive energy from the sun or an artificial source such as a radar transmitter. Blue green yellow red 1020 Hz 1018 Hz 1016 Hz 1014 Hz 1012 Hz 1010 Hz 1 pm 10pm 10 nm 1 micron 100 microns 1 mm 100 mm vi- si- ble Gamma Rays X-Rays UV N. IR Th. IR Microwaves Radar TV FM Radiowaves 0.4 m 0.5 m 0.6 m 0.7 m Mid IR Far IR Visible light contains light from 0.4 to 0.7 micrometers Infrared light from 0.1 micrometers to 1 millimeter
  • 12. Monday, August 11, 2014PIAIP_NESPAK 12
  • 13. Monday, August 11, 2014PIAIP_NESPAK 13
  • 14. Resolutions Monday, August 11, 2014PIAIP_NESPAK 14 Resolutions SPATIAL Smallest identifiable area as a discrete object in an image SPECTRAL No. of frequencies recorded = sensors TEMPORAL Time interval between measurements RADIOMETRIC Intensities identified by sensors
  • 15. Image is the Pictorial Presentation of Raster. Pixels are called as Picture elements. Size of Pixel gives the Resolution of the image. Smaller the Pixel size Larger will the Resolution. Every Raster is not image but every image is a Raster. Monday, August 11, 2014PIAIP_NESPAK 15 SPATIAL RESOLUTION
  • 16. * Vegetation in Yellowish green, * Vegetation in Red. * Water in Gray, * Water in Black. Monday, August 11, 2014PIAIP_NESPAK 16 SPECTRAL RESOLUTION
  • 17. Monday, August 11, 2014PIAIP_NESPAK 17 Spectral Resolution MSS Multi-spectral Bands: 3-14 Hyper-spectral Bands: 24-224
  • 18. Temporal Resolution (Example: for satellite in Red and Black colors) Monday, August 11, 2014PIAIP_NESPAK 18 Time July 1 July 12 July 23 August 3 11 days 16 days July 2 July 18 August 3 TEMPORAL RESOLUTION
  • 19. Monday, August 11, 2014PIAIP_NESPAK 19 1023 6-bit range 0 63 8-bit range 0 255 0 10-bit range 2-bit range 0 4 RADIOMETRIC RESOLUTION
  • 20. Resolution of Satellite Systems Monday, August 11, 2014PIAIP_NESPAK 20 SPATIAL RESOLUTIONS  NOAA-AVHRR (1100 m)  GOES (700 m)  MODIS (250, 500, 1000 m)  Landsat TM and ETM (30 – 60 m)  SPOT (10 – 20 m)  IKONOS (4, 1 m)  Quick-bird (0.6 m)
  • 21. *LAC: Local Area Coverage *GAC: Global Area Coverage Monday, August 11, 2014PIAIP_NESPAK 21 Serial No. Satellites Altitude (km) Bands (µm) Multi-spectral (m) Panchromati c (m) Thermal (m) Purpose
  • 22. Monday, August 11, 2014PIAIP_NESPAK 22
  • 23. October 23, 2005 Dust storm in Chad at 250 m resolution, MODIS (Moderate Resolution Imaging Spectro radiometer) NASA Moderate Resolution Imaging Spectrometer, 705 km, sun-synchronous orbit, 1-2 day for all of earth, 250 m, 500 m, 1000 m resolution. NASA Monday, August 11, 2014PIAIP_NESPAK 23 MODIS (250 m)
  • 24. 30 m resolution and 60 m resolution (thermal), 705 km orbit, 7 bands including thermal infrared, Manhattan, KS. Image, 2000 (USGS- EROS) Monday, August 11, 2014PIAIP_NESPAK 24 LANDSAT (30 m)
  • 25. Monday, August 11, 2014PIAIP_NESPAK 25 IKONOS (04 m) MSS
  • 26. Monday, August 11, 2014PIAIP_NESPAK 26 SPOT (2.5 m)
  • 27. Monday, August 11, 2014PIAIP_NESPAK 27 IKONOS (01 m) (Panchromatic)
  • 28. Monday, August 11, 2014PIAIP_NESPAK 28 Quick Bird (0.6 m)
  • 29. Monday, August 11, 2014PIAIP_NESPAK 29 Imagery and their price ranges
  • 30. Monday, August 11, 2014PIAIP_NESPAK 30 Imagery free of cost
  • 31. Monday, August 11, 2014PIAIP_NESPAK 31
  • 32. REFERENCES Monday, August 11, 2014PIAIP_NESPAK 32 1. Using Geographic Information System (GIS) to Manage Civil Engineering Projects By Asmaa Abdul Jabbar 2. Longley et al (2005) Geographic Information Systems and Science. 2nd Edition. John Wiley and Sons Ltd. (Chapter 14, pages 317-319) 3. www.esri.com/engineering 4. http://webhelp.esri.com/arcpad/8.0/userguide/index.htm#capture_devices/concept_intro.htm Special Acknowledgement Industrial partners: ESRI, Danish Hydraulic Institute, Camp, Dresser and McKee, Dodson and Associates Government partners: Federal: EPA, USGS, Corps of Engineers (Hydrologic Engineering Center) State: Texas Natural Resource Conservation Commission, Texas Water Development Board Local: Lower Colorado River Authority, City of Austin, Dept. of Watershed Protection Academic Partners: University of Texas, Brigham Young University, Utah State University
  • 33. Monday, August 11, 2014PIAIP_NESPAK 33