This document discusses remote sensing and geographical information systems in civil engineering. It covers various topics related to remote sensing sensors including optical sensors, thermal scanners, multispectral sensors, passive and active sensors, scanning and non-scanning sensors, imaging and non-imaging sensors, and the different types of resolutions including spatial, spectral, radiometric, and temporal resolution. It provides examples and illustrations of these concepts.
Types of Platforms
1. Airbrone Platforms
2. Spacebrone Platforms
Platforms are Vital Role in remote sensing data acquisition
Necessary to correct the position the remote sensors that collect data from the objects of interest
Types of Platforms
1. Airbrone Platforms
2. Spacebrone Platforms
Platforms are Vital Role in remote sensing data acquisition
Necessary to correct the position the remote sensors that collect data from the objects of interest
Spectral signatures are the specific combination of emitted, reflected or absorbed electromagnetic radiation (EM) at varying wavelengths which can uniquely identify an object. Here, i have focused on the spectral signature of water and the various micro-process that are responsible for it.
A remote sensing system uses a detector to sense the reflected or emitted energy from the earth's surface, perhaps modified by the intervening atmosphere. The sensor can be on a satellite, aircraft, or drone. The sensor turns the energy into a voltage, which an analog to digital converter turns into a single integer value (called the Digital Number, or DN) for the energy. Alternatively a digital detector can store the DN directly. We can then display this value with an appropriate color to build up an image of the region sensed by the system. The DN represents the energy sensed by the sensor in a particular part of the electromagnetic spectrum, emitted or reflected from a particular region. The principles can also be applied to sonar imagery, especially useful in water where sound penetrates readily whereas electromagnetic energy attenuates rapidly.
Definitions,
Remote sensing systems can be active or passive: active systems put out their own source of energy (a large "flash bulb") whereas passive systems use solar energy reflected from the surface or thermal energy emitted by the surface. Active systems can achieve higher resolution.
Satellite resolution considers four things: spatial, spectral, radiometric, and temporal resolution.
Electromagnetic radiation and the atmosphere control many aspects of a remote sensing system.
Satellite orbits determine many characteristics of the imagery, what the satellite sees, and how often it revisits an area.
The signal to noise ratio is important for the design of remote sensing systems.
Satellite band tradeoffs.
Interpreting satellite reflectance patterns and images uses various statistical measures to assess surface properties in the image.
The colors used on the display are gray shading for single bands, and RGB for multi-band composites. We can also perform image merge and sharpening to combine the advantages of both panchromatic (higher spatial resolution) and color imagery (better differentiation of surface materials).
Keys for image analysis
Hyperspectral imagery
Spectral reflectance library--different materials reflect radiation differently
Workshop on Operationalizing the Regional Collaborative Platform to Address ‘Water Consumption, Water Productivity and Drought Management’ in Agriculture, 27 - 29 October 2015, Cairo, Egypt
Spectral signatures are the specific combination of emitted, reflected or absorbed electromagnetic radiation (EM) at varying wavelengths which can uniquely identify an object. Here, i have focused on the spectral signature of water and the various micro-process that are responsible for it.
A remote sensing system uses a detector to sense the reflected or emitted energy from the earth's surface, perhaps modified by the intervening atmosphere. The sensor can be on a satellite, aircraft, or drone. The sensor turns the energy into a voltage, which an analog to digital converter turns into a single integer value (called the Digital Number, or DN) for the energy. Alternatively a digital detector can store the DN directly. We can then display this value with an appropriate color to build up an image of the region sensed by the system. The DN represents the energy sensed by the sensor in a particular part of the electromagnetic spectrum, emitted or reflected from a particular region. The principles can also be applied to sonar imagery, especially useful in water where sound penetrates readily whereas electromagnetic energy attenuates rapidly.
Definitions,
Remote sensing systems can be active or passive: active systems put out their own source of energy (a large "flash bulb") whereas passive systems use solar energy reflected from the surface or thermal energy emitted by the surface. Active systems can achieve higher resolution.
Satellite resolution considers four things: spatial, spectral, radiometric, and temporal resolution.
Electromagnetic radiation and the atmosphere control many aspects of a remote sensing system.
Satellite orbits determine many characteristics of the imagery, what the satellite sees, and how often it revisits an area.
The signal to noise ratio is important for the design of remote sensing systems.
Satellite band tradeoffs.
Interpreting satellite reflectance patterns and images uses various statistical measures to assess surface properties in the image.
The colors used on the display are gray shading for single bands, and RGB for multi-band composites. We can also perform image merge and sharpening to combine the advantages of both panchromatic (higher spatial resolution) and color imagery (better differentiation of surface materials).
Keys for image analysis
Hyperspectral imagery
Spectral reflectance library--different materials reflect radiation differently
Workshop on Operationalizing the Regional Collaborative Platform to Address ‘Water Consumption, Water Productivity and Drought Management’ in Agriculture, 27 - 29 October 2015, Cairo, Egypt
Iirs overview -Remote sensing and GIS application in Water Resources ManagementTushar Dholakia
Remote sensing and GIS application in Water Resources Management- By S.P. Aggarval spa@iirs.gov.in Indian Institute of Remote sensing ISRO, Department of space, Dehradun
Resolution and scanning system
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Digital 3D imaging can benefit from advances in VLSI technology in order to accelerate its deployment in many fields like visual communication and industrial automation. High-resolution 3D images can be acquired using laser-based vision systems. With this approach, the 3D information becomes relatively insensitive to background illumination and surface texture. Complete images of visible surfaces that are rather featureless to the human eye or a video camera can be generated. Intelligent digitizers will be capable of measuring accurately and simultaneously color and 3D.
The aim of this paper is to present the essential elements of the electro-optical imaging system EOIS for space applications and how these elements can affect its function. After designing a spacecraft for low orbiting missions during day time, the design of an electro-imaging system becomes an important part in the satellite because the satellite will be able to take images of the regions of interest. An example of an electro-optical satellite imaging system will be presented through this paper where some restrictions have to be considered during the design process. Based on the optics principals and ray tracing techniques the dimensions of lenses and CCD (Charge Coupled Device) detector are changed matching the physical satellite requirements. However, many experiments were done in the physics lab to prove that the resizing of the electro optical elements of the imaging system does not affect the imaging mission configuration. The procedures used to measure the field of view and ground resolution will be discussed through this work. Examples of satellite images will be illustrated to show the ground resolution effects.
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1. APPLICATION OF REMOTE SENSING AND
GEOGRAPHICAL INFORMATION SYSTEM IN
CIVIL ENGINEERING
Date:
INSTRUCTOR
DR. MOHSIN SIDDIQUE
ASSIST. PROFESSOR
DEPARTMENT OF CIVIL ENGINEERING
2. Optical Remote Sensing
2
Optical remote sensing makes use of visible, near infrared and short-wave
infrared sensors to form images of the earth's surface by detecting the solar
radiation reflected from targets on the ground
Photography
(Photogrammetry)
Thermal Scanner
Multispectral
5. We shall concentrate the discussion on
optical-mechanical-electronic radiometers
and scanners, leaving the subjects of
camera-film systems and active radar for
Seminar assignment !!
Major elements of Electro-optical Scanner
Optical System: lenses, mirrors, apertures,
modulators and dispersion devices
Detectors: provides an electrical signal
proportional to the irradiance on its active
surface, generally some type of
semiconductors
Signal processors: perform specified
functions on the electrical signal to provide
the desired output data
Sensor: Optical-Mechanical-Electrical Sensors
A typical electro-optical sensor design.
5
6. The two broadest classes of sensors are
Passive (energy leading to radiation received comes from an external
source, e.g., the Sun; the MSS is an example) and
Active (energy generated from within the sensor system is beamed
outward, and the fraction returned is measured; radar is an example)
Sensor for Remote Sensing
6
7. Another attribute in this classification is whether the sensor operates in a
non-scanning or
a scanning mode.
If the scene is sensed point by point (equivalent to small areas within the
scene) along successive lines over a finite time, this mode of measurement
makes up a scanning system.
And if the entire scene is sensed directly with the sensor then its terms as non-
scanning system
Most non-camera sensors operating from moving platforms image the scene
by scanning.
For example, A film camera held rigidly in the hand is a non-scanning device
that captures light almost instantaneously when the shutter is opened, then
closed. But when the camera and/or the target moves, as with a movie
camera, it in a sense is performing scanning as such.
Sensor for Remote Sensing
7
8. Sensors can be
Non-imaging (measures the radiation received from all points in the sensed
target, integrates this, and reports the result as an electrical signal strength
or some other quantitative attribute, such as radiance) or
Imaging (the electrons released are used to excite or ionize a substance
like silver (Ag) in film or to drive an image producing device like a TV or
computer monitor or a cathode ray tube or oscilloscope or a battery of
electronic detectors
Sensor for Remote Sensing
8
9. Radiometer is a general term for
any instrument that quantitatively
measures the EM radiation in some
interval of the EM spectrum.
When the radiation is light from the
narrow spectral band including the
visible, the term photometer can be
substituted.
If the sensor includes a component,
such as a prism or diffraction
grating, that can break radiation
extending over a part of the
spectrum into discrete wavelengths
and disperse (or separate) them at
different angles to an array of
detectors, it is called a
spectrometer.
Sensor for Remote Sensing
9
10. The term spectro-radiometer is
reserved for sensors that collect the
dispersed radiation in bands rather
than discrete wavelengths.
Most air/space sensors are
spectroradiometers.
Sensors that instantaneously measure
radiation coming from the entire
scene at once are called framing
systems. The eye, a photo camera,
and a TV vidicon belong to this
group.
Sensor for Remote Sensing
10
11. The optical setup for imaging sensors will be either an image plane or
an object plane set up depending on where lens is before the photon rays are
converged (focused), as shown in the illustration.
Sensor for Remote Sensing
For the image plane
arrangement, the lens receives
parallel light rays after these
are deflected to it by the
scanner, with focusing at the
end.
For the object plane setup, the
rays are focused at the front
end (and have a virtual focal
point in back of the initial optical
train), and are intercepted by
the scanner before coming to a
full focus at a detector.
11
12. Two broad categories of most scanners are defined by the terms
"optical-mechanical" and
"optical-electronic",
Both are distinguished by the former containing an essential mechanical
component (e.g., a moving mirror) that participates in scanning the scene and
by the latter having the sensed radiation move directly through the optics onto
a linear or two-dimensional array of detectors
Sensor for Remote Sensing
optical-mechanical
optical-
electronic
12
13. Another attribute of remote sensors, not shown in the classification, relates to
the modes in which those that follow some forward-moving track (referred to
as the orbit or flight path) gather their data.
Cross-track scanners
Along track scanners
Sensor for Remote Sensing
In doing so, they are said to monitor the path over an area out to the sides of the
path; this is known as the swath width.
13
14. This is sometimes referred to as the
Whiskbroom mode from the vision of
sweeping a table side to side by a
small handheld broom.
The Cross Track mode normally uses
a rotating (spinning) or oscillating
mirror (making the sensor an optical-
mechanical device) to sweep the
scene along a line traversing the
ground
Sensor for Remote Sensing
14
15. Also known as Pushbroom Scanners
Sense a swath with an linear array of
CCD’s
Because pushbroom scanners have no
mechanical parts, their mechanical
reliability can be very high
Sensor for Remote Sensing
15
16. Spatial Resolution
Spectral Resolution
Radiometric Resolution
Temporal Resolution
Sensor Resolutions
The ratio of distance on an image or map, to actual ground distance is
referred to as scale.
16
radiometric
17. Instantaneous Field of View (IFOV) is
the angular cone of visibility of the
sensor (A) and determines the area on
the Earth's surface which is "seen" from
a given altitude at one particular
moment in time (B)
Spatial Resolution
17
18. This is a measure of the area or size of the smallest dimensions on the earth’s
surface over which an independent measurement can be made by the sensor
It is expressed by the size of the pixel on the ground in m
A measure of size of pixel is given by the IFOV, which is dependent on the
altitude and the viewing angle of the sensor
A narrow viewing angle or a lower altitude produces a small IFOV
If a sensor has a spatial resolution of 20 metres and an image from that
sensor is displayed at full resolution, each pixel represents an area of
20m x 20m on the ground
For a pushbroom system the number of detectors influences the spatial
resolution
A system with 1,000 detectors that images a 50 km wide swath has a pixel
size of 50m
Spatial Resolution
18
22. Spatial Resolution versus Scale
The spatial resolution of the data
used in the image on the left is lower
than the spatial resolution of the data
used in the image on the right. This
means the cell size of the data in the
left image is larger than that of the
data in the right image; however, the
scale at which each is displayed is
the same.
The scale of the image on the
left (1:50,000) is smaller than
the scale of the image on the
right (1:2,500); however, the
spatial resolution (cell size) of
the data is the same.
22
23. The spectral resolution of a sensor
characterizes the ability of the sensor
to resolve the energy received in a
spectral bandwidth to characterise
different constituents of earth surface
Spectral resolution is defined as the
spectral bandwidth of the filter and the
sensitiveness of the detector
Spectral resolution describes the ability
of a sensor to define fine wavelength
intervals.
The finer the spectral resolution, the
narrower the wavelength range for a
particular channel or band
Spectral Resolution
Coarse
Fine
23
24. Many remote sensing systems record energy over several separate
wavelength ranges at various spectral resolutions. These are referred to as
multi-spectral, superspectral, and hyperspectral sensors
Spectral Resolution
Panchromatic
Multispectral
24
26. The radiometric resolution of an imaging system describes its ability to
discriminate very slight differences in energy. i.e., it is a measure of how
many grey levels are measured between pure black (no reflectance) to pure
white.
It is measured in bits
Radiometric Resolution
Examples
1 bit (21) – 2 levels
7 bits (27) – 128 levels IRS 1A & 1B
8 bits (28) – 256 levels Ladnsat TM
11 bits (211) – 2048 levels NOAA –
AVHRR
In a 8 bit system, black is measured
as 0 and white is measured as 255.
Imagery data are represented by positive Digital Numbers (DN) which vary from
0 to (one less than) a selected power of 2 according to bit system.
26
28. A remote sensing system with a radiometric resolution of 6 bits assigns a
digital number (DN) of 28 to one surface and 47 to another. What would be
the equivalent DNs for the same surfaces if the measurements were taken with
a 3 bit system?
The DNs recorded by the 3 bit system range from 0 to 7 and this range is
equivalent to 0-64 for the 6 bit system
0 1 2 3 4 5 6 7 (3 bit)
0 9 18 27 36 45 54 63 (6 bit)
Therefore a DN of 28 and 47 on the 6 bit system will be recorded as 3 and
5 on a 3 bit system.
Radiometric Resolution
28
29. Temporal resolution of a remote sensing system is a measure of how often
data are obtained for the same area
Applicable to satellite remote sensing only
Temporal resolution varies from less than one hour to approximately 30 days.
Importance of Temporal Resolution
Change in Land Use/ Land Cover
Temporal Variation
Monitoring of a Dynamic Event
Cyclone
Flood
Volcano
Earthquake
Temporal Resolution
29
30. Comments….
Questions….
Suggestions….
30
I am greatly thankful to all the information sources
(regarding remote sensing and GIS) on internet that I
accessed and utilized for the preparation of present
lecture.
Thank you !
Feel free to contact