Remote Sensing Technology
Satellite and Sensor Characteristics
Dr. Abhijit M. Zende
Dr. Daulatrao Aher college of Engineering
Karad
zenabhi31@yahoo.co.in
+91-9822842539
1
DEFINITION:
The Technique Of Acquiring Information About An Object By
Recording Device (sensor) I.E. Not In Physical Contact With The
Object By Measuring Portion Of Reflected Or Emitted
Electromagnetic Radiation From The Earth’s Surface.
2
PRINCIPLE OF REMOTE SENSING:
 Different objects return (reflects or emits) different amount & kind of
energy in different bands of electromagnetic spectrum incident upon it.
 This unique property depends on the structural, chemical, physical
properties of material & also surface roughness, angel of incidence,
intensity & wavelength of radiant energy.
 RS is multidisciplinary science which includes optic, spectroscopic,
photography, computer science, electronics & telecommunication,
satellite tech. etc.
 All these technologies are integrated to act as remote sensing.
3
Overview
4
5
STAGES IN REMOTE SENSING:
1. Energy source:
Emission of electromagnetic radiation or EMR
(sun/ self emission) .
2. Energy Interactions With Atmosphere:
Transmission of energy from the source to the
surface of the earth as well as ABSORPTION &
SCATTERING.
3. Interaction of EMR With the Earth Surface:
Reflection & emission transmitted or absorbed by
the surface.
6
STAGES IN REMOTE SENSING:
4. Recording of Energy by the Remote Sensor:
Sensor not in touch with the earth’s surface
5. Sensor Data Output:
Data transmission & reception.
6. Data (Image) Processing & Analysis:
Extraction of information @ the earth surface features.
7. Application :
Extracted information is utilized in decision making for
solving problems.
7
TYPES OF RS
1. Based on source of energy
A) PASSIVE SENSORS:
Remote Sensing systems measuring the naturally
available energy ( Solar energy: either reflected or
absorbed) are called as Passive Sensors.
B) ACTIVE SENSORS:
Remote Sensing systems which provides their own
source of energy for illumination are known as
Active Sensors.
e.g. SLAR, SAR
8
TYPES OF RS
2. Based on range of electromagnetic spectrum
A) OPTICAL RS:
RS of Visible, NIR,MIR 0.3 m--3m.
B) THERMAL RS:
RS of emitted radiation 3 m--5m. & 8 m--16m.
C) MICROWAVE RS:
RS in higher wavelength 1mm—1m
9
ADVANTAGES OF RS
 Synoptic View
 Facilitates the study of various earth surface features in their
spatial relation to each other.
 Helps to delineate the reqd. features & phenomenon.
 Accessibility
 Possible to gather information @ the area when
ground survey is not possible.
e.g. Mountainous areas & foreign areas.
10
ADVANTAGES OF RS
 Time conservation
Information @ the large area is gathered quickly saving time efforts of
human.
Multidisciplinary Applications
Remote Sensing data is processed & used in different disciplines like
• GEOLOGY
• FORESTRY
• LANDUSE
• AGRICULTURE
• DEFENCE
• URBAN PLANNING
• FISHERIES
• CIVIL ENGINEERING etc…
11
ELECTROMAGNETIC RADIATION
A) WAVE MODEL.
12
B) PARTICLE THEORY.
Radiation consists of electrical and
magnetic fields perpendicular to each
other, moving in wave pattern.
i) Wavelength ()
ii) Frequency ()
iii) Amplitude (A)
13
14
15
ELECTROMAGNETIC SPECTRUM
Representing the continuum of EMR arranged on the basis of wavelength and frequency.
Electromagnetic spectrum ranges as…
Gamma Ray -------------- shorter wavelengths
X-ray
Ultraviolet
Visible spectrum ---------- 400nm—700nm
Infrared
Microwaves
Radiowaves ----------------- Longer wavelength
16
ENERGY INTERACTION WITH THE ATMOSPHERE
Atmosphere affect incoming radiation by
 Scattering : Rayleigh scattering
Mie scattering
Non selective scattering
 Absorption : O3 Ozone
CO2 Carbon Dioxide
H2O Water Vapour
 Refraction : Atmospheric layer of varying clarity, humidity,
temperature.
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ATMOSPHERIC WINDOWS
 These are the regions in the electromagnetic
spectrum for which the atmosphere is transparent.
 These wavelengths are easily transmitted through
atmosphere.
 These are useful regions for remote sensing.
19
Atmospheric (Absorption / Transmission) windows
0.3-0.4, 0.4-0.7, 0.7-3.0, 3.0-5.0, 8.0-14.0, 1.0cm-1.0m.
ERS : C 5.7 cm
JERS : L 23.5 cm
Atmospheric
Scattering
20
21
INTERACTIONS OF ENERGY WITH THE EARTH
SURFACE
Radiation not absorbed or scattered in the atmosphere reaches &
interacts with the Earth’s surface.
Reflection :- Light is redirected as it strikes a non-transparent
surface.
 Specular reflection – like mirror is undesirable in RS.
 Diffused Reflection – If surface is rough relative to  useful in RS.
 Transmission & absorption – No reflection.
 Earth’s emission :- Objects at temperature above 0o
emits radiations.
22
REFLECTION CHARACTERISTICS OF EARTH
COVER
It may be qualified by measuring the portion of incident
energy that is reflected.
 Vegetation : Red & Blue colors are absorbed.
Green & NIR are reflected.
 Water : All radiation are absorbed.
Blue or Blue-Green colors are little reflected.
 Soil : Depend on moisture, organic content, texture,
structure, iron oxide content etc.
23
Spectral Reflectance Curves
24
ORBITS OF REMOTE
SENSING
SATELLITE:
Satellite is any object manmade or
natural that revolves around the earth
TYPES OF ORBITS:
•Low Earth Orbit (LEO) < 2000 km
•Medium Earth Orbit (MEO) 2000-35786 km
•High Earth Orbit (HEO) > 35786 km
25
Low Earth Orbit:
Polar orbiting satellites:
•Satellite is pass above the earth
poles
•High resolution of images is
possible
•Crosses the equator at 90⁰
ORBITS OF REMOTE
SENSING
26
Low Earth Orbit:
Polar orbiting satellites:
•The advantage is every time the satellite view the
newer segment on the earth surface because of
earth’s rotation
ORBITS OF REMOTE
SENSING
27
Sun Synchronous Orbit
• Angle of inclination of the
orbit with respect to the sun
through out the year is same
• Always crosses the equator
precisely the same local sun
time
• Mostly used for remote
sensing
ORBITS OF REMOTE
SENSING
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Sun Synchronous Orbit
ORBITS OF REMOTE
SENSING
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Near polar orbit
•Orbital plane inclined at
small angle with respect to
the earth rotational axis
ORBITS OF REMOTE SENSING
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High Earth Orbit
Geo stationary orbit
•The satellite placed in this
orbit is stationary with
respect to the earth
•View the same area of the
earth at all times
•View 50% of global surface
(60⁰N to 60⁰S)
•Orbital period is 24 hours
ORBITS OF REMOTE
SENSING
31
ORBITS OF REMOTE
SENSING
High Earth Orbit Geo
stationary orbit Advantages:
•Useful for meteorological
observation
•And also for commercial
broadcast and
communication purpose
32
ORBITS OF REMOTE
SENSING
High Earth Orbit
Geo stationary orbit
Dis-Advantages:
 Low Resolution
 Approximately a pixel size of
2.5 km on the ground
 Less information is obtained
33
Choice of orbit:
•It is dependent on the its mission
•Remote sensing satellites placed in LEO because it
needs high resolution
•Commercial broadcast or Communication satellites are
provided in HEO because it should receive and send
signals from large geographical are
ORBITS OF REMOTE
SENSING
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ORBITS OF REMOTE
SENSING
Shapes of orbits:
35
ORBITS OF REMOTE SENSING
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SATELLITES & SENSORS
 PLATFORMS:
Platform is a stage to mount the camera or sensors to collect
information remotely about an object or surface.
e.g. GROUND
BALLOON
AIRCRAFT
SPACE CRAFT/
SATELLITE
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Types of platforms :
 Ground based platforms
Short range systems(50-100 m) Medium Range Systems ( 150-
250 m) Long range Systems (up to 1 km)
 Airborne platforms
 Space-borne platforms
REMOTE SENSING
PLATFORMS
38
REMOTE SENSING
PLATFORMS
Types of platforms :
Ground Based Platforms:
Mobile hydraulic platforms (up to 15 m height)
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REMOTE SENSING
PLATFORMS
Types of platforms :
Portable Masts
•Unstable in wind conditions
40
REMOTE SENSING
PLATFORMS
Types of platforms :
Towers:
•Greater rigidity than masts
41
REMOTE SENSING
PLATFORMS
Types of platforms :
Weather Surveillance Radar
•Detects and tracks
typhoons and cloud masses
42
REMOTE SENSING
PLATFORMS
Types of platforms :
Airborne Platforms:
Balloons based :
• Altitude range is 22-40 km
• Tool to probing the
atmosphere
• Useful to test the instruments
under development
43
REMOTE SENSING
PLATFORMS
Types of platforms :
Airborne Platforms:
Radiosonde:
Measure pressure,
Temperature, Relative
humidity and in the
atmosphere
Rawinsonde:
Measure wind velocity,
temperature, presurre and
relative humidity
44
REMOTE SENSING
PLATFORMS
Types of platforms :
Aircraft: Advantages:
•High spatial resolution (20 cm
or less)
•Analog photography is
possible (analog photo gives
high resolution)
• Easily change their schedule
to avoid weather problems
• Sensor maintenance and
repair is easy
45
REMOTE SENSING
PLATFORMS
Types of platforms :
Aircraft:
Dis -Advantages:
•Permission to intrude into foreign airspace is
required
•Many passes to cover larger area
•Swath is much less compare to satellite
•High cost per unit area
46
REMOTE SENSING PLATFORMS
Types of platforms :
Space borne platforms:
•Sensors are mounted
on-board a spacecraft
•Rockets , satellites
and space shuttles
Advantages :
•Cover large area
•Repetitive coverage of
an area of interest
47
REMOTE SENSING SENSORS
Sensor :
Common Definition :
• Sensors are Sophisticated devices that are
frequently used to detect and respond to
electrical or optical signals
• A Sensor converts the Physical parameter into a
signal which can be measured electrically
48
REMOTE SENSING SENSORS
Sensor :
Definition in Remote Sensing :
•Sensor is a device that gathers energy (EMR)
converts into signal and present it into a signal and
present it in a form (image) suitable for obtaining
information about the objet under investigation
49
REMOTE SENSING
SENSORS
Types of sensors :
50
REMOTE SENSING SENSORS
Types of sensors :
Active sensors:
These sensors detect reflected responses from
objects which are irradiated from artificially
generated energy sources
Ex : Radar, camera with flash light Passive sensors:
These sensors detect reflected EMR
from natural source
Ex : camera without flash light (depends on solar
energy), and all RS sensors
51
REMOTE SENSING SENSORS
Types of sensors :
Non Scanning or Framing sensors:
Measure the radiation coming from entire scene at
once
Ex: Our eyes, Photo cameras
52
REMOTE SENSING SENSORS
Types of sensors :
Imaging sensors:
Form image by collected
radiation
1. Scanning sensors:
The scene is sensed by point
by point or measure the
radiation coming from point
by point (equivalent to small
areas with in the scene)
Along track Scanners:
Image is acquired by line by
line
53
REMOTE SENSING SENSORS
Types of sensors :
Across track Scanners:
Image is acquired by pixel by pixel
54
REMOTE SENSING SENSORS
Types of sensors :
2. Non imaging sensors:
•These sensors do not form the image
•These are used to record spectral quantity or
parameter as a function of time
Ex: temperature measurement, study of
atmosphere
55
REMOTE SENSING SENSORS
Types of sensors :
Image Plane Scanning:
Lens is used after the
scan mirror to focus
the light on the
detector
56
REMOTE SENSING SENSORS
Types of sensors :
 Object Plane Scanning: Lens is
placed before the scan mirror
to focus the light on the
detector
57
Characteristics of Sensors
1. Spatial resolution
2. Spectral resolution
3. Radiometric resolution
4. Temporal resolution
58
CHARECTERISTICS OF
SENSORS
Spatial resolution
•It refers to the size of the
smallest possible object that
can be detected
•It depends on the
instantaneous Field of View
(IFOV) and the height of the
satellite orbit
•It tells the pixel size
on the ground surface
59
CHARECTERISTICS OF
SENSORS
Spatial resolution
60
CHARECTERISTICS OF
SENSORS
Spatial resolution
61
CHARECTERISTICS OF
SENSORS
Spatial resolution
62
Characteristics of Sensors
Spectral resolution
•It describes the ability of a sensor to define fine
wavelength ranges
•Sand is appear as coarser in finer
wavelength bands
63
Characteristics of Sensors
Radiometric resolution
•It describes the abilityof sensor to
discriminate very slight differences in energy
•The number of brightness levels depends upon the
number of bits used
64
CHARECTERISTICS OF
SENSORS
Radiometric resolution
65
CHARECTERISTICS OF SENSORS
Temporal resolution
It refers to how often it records imagery of a
particular area, which means the frequency
of repetitive coverage
66
SATELLITE ORBIT
 Path followed by the satellite.
 Geostationary satellite :-
1. Revolve at the speed matching the rotation of the
Earth( 24 hours ).
2. Located at very high altitudes about 36000Km.
3. Are put in the equatorial plane orbiting West to East.
4. One satellite can view one-third of the globe.
5. Used for weather monitoring & communication
(INSAT, V-Sat).
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8/23/2016 EngineeringApplications of RS and
GIS
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SUN-SYNCHRONOUS SATELLITES
 Inclined North-South orbit.
 Inclination carries the satellite Westward.
 Its track covers each area of the world at a Constant
time of the day (local sun time ).
 Descending pass – day
 Ascending pass – shadow ( night )
 Payload of passive sensors.
 Active sensors can acquire image in
ascending pass also.
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5/29/03 Engineering Applications of RS and
GIS
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Sun-Synchronous (Polar orbiting) : Remote Sensing Satellites
Geo-Synchronous (Equatorial Orbiting) Satellites :
Telecommunications / Weather
Day-Time
Descending
Path
Night-Time
Ascending
Path
71
SWATH (Two Dimensional Image of
Earth Surface For An Area )
• As a satellite revolve around the Earth, the sensors see a certain portion of
Earth surface known as swath.
• For satellite images it is very wide between 10 -100 Km.
• The apparent Westward shift of satellite (due to Earth’s rotation ) allows
the satellite Swath to cover a new area with each pass.
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5/29/03 Engineering Applications of RS and
GIS
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1. Ground Segment
(Receiving Antenna)
2. Satellite Path
(Data Acquisition)
3. Successive Paths
(Gap between Paths)
4 Stereoscopic
Data Acquisition
1 2
3 4
74
75
RESOLUTION
It refers to the system’s ability to record & display fine details.
In RS there are four types of resolution,…
 Spatial resolution
 Spectral resolution
 Radiometric resolution
 Temporal resolution.
Spatial resolution :- The size of the smallest possible feature that can
be detected by the sensors.
76
 Spectral resolution :- It describes the ability of a sensors to define
fine wavelength intervals. Many RS systems record energy over
several separate wavelengths ranges at various spectral resolution.
These are multispectral scanners. Advanced multispectral sensors
detect hundreds of very narrow spectral bands through the
spectrum.
 Radiometric resolution :- Every time an image is acquired on film
or by a sensor, its sensitivity to the magnitude of the
electromagnetic energy determines the radiometric resolution.
 The radiometric resolution of an imaging system describes its
ability to discriminate very slight differences in the energy.
77
 Temporal resolution :- Temporal resolution refers to the frequency of
obtaining data over a given area. It is related to the revisit period or
repeativity.
78
Spatial Resolution
30m : LS-TM, 80m : LS-MSS
79
Spatial Resolution
10m : SPOT-PLA, 20m : SPOT-MLA
80
TUTICORIN
81
82
83
84
85
MULTISPECTRAL SCANNING
A scanning system that is useful to collect data over a range of
wavelengths is called MSS.
Across track scanning Along track scanning
scan lines ar
to scan lines Ilel
to
motion of system motion of system
86
SATELLITE IN ORBITS
LANDSAT
NASA ( National Aeronautic & Space Administration ) launched the
LANDSAT series. It is Land Observation Satellite Series.
 RBV :- Return Beam vidicon.
 MSS :- Multispectral scanner. Across track, 4 spectral band data
with 80 meters resolution & 6 bits radiometric resolution.
 TM :- Thematic map per, 7 ban data for 6 bands, spatial
resolution of 30 metres & for thermal band, 120 metres,
 ETM :- Enhanced Thematic map per, 8 band data.
 Swath :- 185 Km.
87
Spot Satellite
Altitude :- 832 Km.
Revisit :- 26 days.
Payload :-
HRV – High resolution visible sensor.
i ) PAN mode 10 m,
i i ) MSS mode 20 m.
HRVIR – Spot 4 – 10 m resolution
VEGETATION – Spot 4 – 1.165 Km resolution.
88
INDIAN REMOTE SENSING SATELLITE
OBS.
NO.
MISSIONS SENSORS ALTITUDE
(Km)
REVISIT
(DAYS)
1.
IRS-1A
LISS – I
LISS – II
904 22
2. IRS-1B
LISS – I
LISS – II
904 22
3. IRS-1C
PAN
LISS–III
WIFS
817
05
24
05
89
4 IRS- 1D
PAN
LISS-III
WIFS
817
05
24
05
5 IRS- P2 LISS-II 817 24
6 IRS- P3
WIFS
MOS
ASTRO-
-NOMY
817 24
7 IRS- P4
OCR
MSMR 727 03
90
IRS Satellite
91
92
OBS.
NO.
SENSOR SPECTRAL
RES.
SPATIAL
RES.
SWATH
1. LISS-I 4 BAND 72.50 M 148.0 KM
2. LISS-II 4 BAND 36.25 M 074.0 KM
3. LISS-III 4 BAND 23.50 M 141.0 KM
4. PAN SINGLE
BAND
05.80 M 070.0 KM
5. WIFS 2 BAND 188.0 M 810.0 KM
93
DELHI
94
HYDERABAD
95
HOUSTON
96
LISS III
MANASAROVAR
97
GOA
98
MUMBAI
99
WIFS
WEST COAST
100
WIFS
INDIA
101
Remote Sensing Satellites and Sensors
 Landsat : 1, 2, 4,5,7 : MSS : 2 VIS+2 NIR
 3. MSS : 2 VIS+2 NIR+1TIR
 Landsat 4,5,7 : Bands :1,2,3,4,5,7 VIS and NIR
 Band 6 : TIR
 IRS – 1A/1B-LISSI/II, 1C/1D-LISS-III
4 Bands : 2 VIS + 2 NIR
 SPOT : MLA : 3 bands, PLA : 1 Band (PAN)
 ERS Microwave SAR
 JERS Microwave SAR
102
SATELLITE DATA RECEPTION TRANSMISSION &
PROCESSING
Three main options form transmitting data acquired by
the satellite to the surface.
 Data can be directly transmitted to the earth if a Ground
Receiving Station (GRS) is in the line of sight of the
structure.
 Data can be recorded on board the satellite for
transmission to a GRS at later time.
 Data can also be relayed to the GRS through the TDRSS
( Tracking & Data Relay Satellite System ) which
contains series of Geosynchronous, communication
satellite .
103
In India
GRS is located at Shadnagar. NRSA ( National
Remote Sensing Agency ) acquires process, & distribute
the satellite data from Indian as well as other satellites.
Satellite (IRS,LANDSAT, SPOT, NOAA, IKONOS )
GRS ( Shadnagar – data in raw digital format )
NRSA (processing to correct errors & Convert to standard
format )
104
DIGITAL IMAGE PROCESSING
i.e. manipulation of the images with the help of a computer
system.
Hardware software
monitor, ( categorization into
CPU three main functions)
secondary storage device 1. Image processing
( floppy disc drive, 2. Image enhancement
hard disc, scanners, etc) 3. Image classification
105
IMAGE PROCESSING
Preliminary to the main analysis :-
Removal of error introduced in the imaging.
Processes are designed to recognize &
compensate for ,…
Errors
Noise
Geometric distortions,
introduced into the data during the scanning,
transmission & recording processes.
106
PREPROCESSING
 Radiometric corrections
 Atmospheric corrections
 Geometric corrections
1. Radiometric correction :- Radiometric
errors are caused by detector
imbalance & atmospheric deficiencies.
Radiometric corrections are transmitted
on the data in order to remove errors,
which are atmospheric correction.
107
geometrically independent. Radiometric corrections
are also called as. Cosmetic corrections & are done to improve
the visual appearance of the image.
Some Radiometric corrections are ,…
correction of missing scan line
correction for periodic line striping
random noise corrections
108
2. Atmospheric corrections :- True ground-leaving
radiance is altered by scattering & hence it needs
corrections.
3. Geometric corrections :- The transformation of
remotely sensed images so as it has a scale & projections
of a map .is called as Geometric correction. Systematic
& nonsystematic disorders are corrected.
109
IMAGE ENHANCEMENT
Image enhancement technique improve the quality & appearance
of an image for human visual analysis & subsequently for machine
also.
Common techniques are …
• Contrast stretch ,… linear & nonlinear
• Spatial filtering
• Band rationing
• principal component analysis
110
Visual Interpretation
 The digital data can be transformed to Photographic Images
 B&W individual Band Images or 3-band Colour Composites
 Elements : Tone / Colour, Texture, Pattern, Association, Shape, Size, Shadow.
 Tone / Colour represents the reflectance of the terrain feature in a given
spectral band : Black to White gray shades / levels or Blue, Green, Red, Yellow
Magenta, Cyan, colours.
 Texture refers to the aggregation of tones or repetition of tones in spatial
context : fine (water, grass, paddy, wheat, sand, etc.), Coarse (hills & valleys,
forests, urban areas, etc.) and Medium (other).
 Pattern refers to the spatial arrangement of objects : Urban, agriculture, hilly,
water, Roads, Railways, Canals, etc.
 Shape, size and shadow : aid in the recognition of the features and therefore in
interpretation of their significance
 Multi-Thematic Maps : derived from Aerial Photographs : Topography :
elevations, slope, Drainage, Soils, Geology, landuse, etc.
111
Plate 7.a Landsat 5 TM band 2 (green) image. Plate 7.b Landsat 5 TM band 3 (red) image
Plate 7.c Landsat 5 TM band 4 (near infrared) image
Plate 7.d FCC:Landsat 5 TM band 2,3 and 4.(Band 4, 3 and 2 as RGB)
112
Plate 1.a IRS-LISS-II Band 2 Image Plate 1b. IRS-LII-II band 3 Image
Plate 1. c IRS-LISS-II Band 4 Image Plate 2. FCC (IRS 1A LISS-II : (bands 4,3 and 2 as RGB)
113
Photo/Image Interpretation Elements
TONE
114
Tone Photo Interpretation Elements Texture
115
Photo Interpretation Elements
Pattern
116
Photo Interpretation Elements
Shadow
117
IMAGE CLASSIFICATION
We normally categorize the objects on the Earth’s surface as
forest, agriculture field, river, settlements etc.
Digital image classification is the process of assigning pixels to
classes. These classes represents regions on the image or map & are
identified by the number or symbol.
classification
supervised unsupervised
118
Supervised : It is the process of known identity (trained
pixels ) to classify the pixels, whose identity is not known.
Unsupervised :classifiers do not utilized training data as basis
of classification; classes are spectral classes; need of reference
data to identify informational value of the spectral class.
Sample area known as training areas. Statistics are calculated
for training sites. And every pixels within & outside the
training site is assigned to a class or category it most likely
resembles.
119
DIFFERENT PHASES IN SUPERVISED CLASSIFICATION
 Appropriate classification scheme for analysis is adopted.
 Selection of representative training site & collection of
spectral signatures.
 Evaluation of statistics for the training site spectrum data.
 The statistics are analyzed to select the appropriate features
( bands ) to be used in the classification process.
 Appropriate classification algorithm is selected.
 Classify the image into N classes.
 Statistically analyze & evaluate the classification scheme.
120
Thane Creek : Turbid Water
Tulsi Lake : Clear Water
Vihar Lake : Clear Water
Powai Lake : Clear Water
IIT Campus
Forest around National
Park Borivali
Barren land
Salt Pans
Mangroves
Urban – Mixed Area
Eastern Express Highway
Central Railway
Lal Bahadur Shastri Marg
Mumbai – Thane Creek Area : Landuse-Landcover details
121
Classified MS image (MLH)
(IRS-LISS-II Bands 4,3,2)
WATER
LIGHT VEG.
THICK VEG.
MARSHY
URBAN
BARREN
TURBID
LEGEND
SALT PANS
122
Thermal IR-Sensing
 Thermal Ranges:3 to 5 and 8 to15 m.
 Emittance :Radiation, Day and Night Temperature Changes, Emittances of
terrain features.
 Radiometers and Scanners (Cooled Detectors): Low-Energy, Coarse-
Resolutions : Spatial and Spectral.
 Day and Night Time Thermal Images : Geology, Geo-Thermal, Volcanic,
Fires,.Thermal pollution, , etc.
 Thermal Data : Landsat-3 : Band-8, Landsat- 4 / 5 : Band 6. Day and Night -
time.
 Interpretation : Cool : Dark (low emittances), Hot : Bright (high emittances)
123
Landsat 5TM Daytime and Nighttime TIR Registered Data
124
125
HERAT
126
LAHASA
127
LISS III
JAIPUR
128
PAN+LISS III
MUMBAI
129
LISS III
KRISHNA
130
LISS III
WEST BENGAL
131
WIFS
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
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Remote Sensing Technology Satellite and Sensor Characteristics

  • 1.
    Remote Sensing Technology Satelliteand Sensor Characteristics Dr. Abhijit M. Zende Dr. Daulatrao Aher college of Engineering Karad [email protected] +91-9822842539 1
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    DEFINITION: The Technique OfAcquiring Information About An Object By Recording Device (sensor) I.E. Not In Physical Contact With The Object By Measuring Portion Of Reflected Or Emitted Electromagnetic Radiation From The Earth’s Surface. 2
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    PRINCIPLE OF REMOTESENSING:  Different objects return (reflects or emits) different amount & kind of energy in different bands of electromagnetic spectrum incident upon it.  This unique property depends on the structural, chemical, physical properties of material & also surface roughness, angel of incidence, intensity & wavelength of radiant energy.  RS is multidisciplinary science which includes optic, spectroscopic, photography, computer science, electronics & telecommunication, satellite tech. etc.  All these technologies are integrated to act as remote sensing. 3
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    STAGES IN REMOTESENSING: 1. Energy source: Emission of electromagnetic radiation or EMR (sun/ self emission) . 2. Energy Interactions With Atmosphere: Transmission of energy from the source to the surface of the earth as well as ABSORPTION & SCATTERING. 3. Interaction of EMR With the Earth Surface: Reflection & emission transmitted or absorbed by the surface. 6
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    STAGES IN REMOTESENSING: 4. Recording of Energy by the Remote Sensor: Sensor not in touch with the earth’s surface 5. Sensor Data Output: Data transmission & reception. 6. Data (Image) Processing & Analysis: Extraction of information @ the earth surface features. 7. Application : Extracted information is utilized in decision making for solving problems. 7
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    TYPES OF RS 1.Based on source of energy A) PASSIVE SENSORS: Remote Sensing systems measuring the naturally available energy ( Solar energy: either reflected or absorbed) are called as Passive Sensors. B) ACTIVE SENSORS: Remote Sensing systems which provides their own source of energy for illumination are known as Active Sensors. e.g. SLAR, SAR 8
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    TYPES OF RS 2.Based on range of electromagnetic spectrum A) OPTICAL RS: RS of Visible, NIR,MIR 0.3 m--3m. B) THERMAL RS: RS of emitted radiation 3 m--5m. & 8 m--16m. C) MICROWAVE RS: RS in higher wavelength 1mm—1m 9
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    ADVANTAGES OF RS Synoptic View  Facilitates the study of various earth surface features in their spatial relation to each other.  Helps to delineate the reqd. features & phenomenon.  Accessibility  Possible to gather information @ the area when ground survey is not possible. e.g. Mountainous areas & foreign areas. 10
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    ADVANTAGES OF RS Time conservation Information @ the large area is gathered quickly saving time efforts of human. Multidisciplinary Applications Remote Sensing data is processed & used in different disciplines like • GEOLOGY • FORESTRY • LANDUSE • AGRICULTURE • DEFENCE • URBAN PLANNING • FISHERIES • CIVIL ENGINEERING etc… 11
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    B) PARTICLE THEORY. Radiationconsists of electrical and magnetic fields perpendicular to each other, moving in wave pattern. i) Wavelength () ii) Frequency () iii) Amplitude (A) 13
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    ELECTROMAGNETIC SPECTRUM Representing thecontinuum of EMR arranged on the basis of wavelength and frequency. Electromagnetic spectrum ranges as… Gamma Ray -------------- shorter wavelengths X-ray Ultraviolet Visible spectrum ---------- 400nm—700nm Infrared Microwaves Radiowaves ----------------- Longer wavelength 16
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    ENERGY INTERACTION WITHTHE ATMOSPHERE Atmosphere affect incoming radiation by  Scattering : Rayleigh scattering Mie scattering Non selective scattering  Absorption : O3 Ozone CO2 Carbon Dioxide H2O Water Vapour  Refraction : Atmospheric layer of varying clarity, humidity, temperature. 17
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    ATMOSPHERIC WINDOWS  Theseare the regions in the electromagnetic spectrum for which the atmosphere is transparent.  These wavelengths are easily transmitted through atmosphere.  These are useful regions for remote sensing. 19
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    Atmospheric (Absorption /Transmission) windows 0.3-0.4, 0.4-0.7, 0.7-3.0, 3.0-5.0, 8.0-14.0, 1.0cm-1.0m. ERS : C 5.7 cm JERS : L 23.5 cm Atmospheric Scattering 20
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    INTERACTIONS OF ENERGYWITH THE EARTH SURFACE Radiation not absorbed or scattered in the atmosphere reaches & interacts with the Earth’s surface. Reflection :- Light is redirected as it strikes a non-transparent surface.  Specular reflection – like mirror is undesirable in RS.  Diffused Reflection – If surface is rough relative to  useful in RS.  Transmission & absorption – No reflection.  Earth’s emission :- Objects at temperature above 0o emits radiations. 22
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    REFLECTION CHARACTERISTICS OFEARTH COVER It may be qualified by measuring the portion of incident energy that is reflected.  Vegetation : Red & Blue colors are absorbed. Green & NIR are reflected.  Water : All radiation are absorbed. Blue or Blue-Green colors are little reflected.  Soil : Depend on moisture, organic content, texture, structure, iron oxide content etc. 23
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    ORBITS OF REMOTE SENSING SATELLITE: Satelliteis any object manmade or natural that revolves around the earth TYPES OF ORBITS: •Low Earth Orbit (LEO) < 2000 km •Medium Earth Orbit (MEO) 2000-35786 km •High Earth Orbit (HEO) > 35786 km 25
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    Low Earth Orbit: Polarorbiting satellites: •Satellite is pass above the earth poles •High resolution of images is possible •Crosses the equator at 90⁰ ORBITS OF REMOTE SENSING 26
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    Low Earth Orbit: Polarorbiting satellites: •The advantage is every time the satellite view the newer segment on the earth surface because of earth’s rotation ORBITS OF REMOTE SENSING 27
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    Sun Synchronous Orbit •Angle of inclination of the orbit with respect to the sun through out the year is same • Always crosses the equator precisely the same local sun time • Mostly used for remote sensing ORBITS OF REMOTE SENSING 28
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    Sun Synchronous Orbit ORBITSOF REMOTE SENSING 29
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    Near polar orbit •Orbitalplane inclined at small angle with respect to the earth rotational axis ORBITS OF REMOTE SENSING 30
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    High Earth Orbit Geostationary orbit •The satellite placed in this orbit is stationary with respect to the earth •View the same area of the earth at all times •View 50% of global surface (60⁰N to 60⁰S) •Orbital period is 24 hours ORBITS OF REMOTE SENSING 31
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    ORBITS OF REMOTE SENSING HighEarth Orbit Geo stationary orbit Advantages: •Useful for meteorological observation •And also for commercial broadcast and communication purpose 32
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    ORBITS OF REMOTE SENSING HighEarth Orbit Geo stationary orbit Dis-Advantages:  Low Resolution  Approximately a pixel size of 2.5 km on the ground  Less information is obtained 33
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    Choice of orbit: •Itis dependent on the its mission •Remote sensing satellites placed in LEO because it needs high resolution •Commercial broadcast or Communication satellites are provided in HEO because it should receive and send signals from large geographical are ORBITS OF REMOTE SENSING 34
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    ORBITS OF REMOTESENSING 36
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    SATELLITES & SENSORS PLATFORMS: Platform is a stage to mount the camera or sensors to collect information remotely about an object or surface. e.g. GROUND BALLOON AIRCRAFT SPACE CRAFT/ SATELLITE 37
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    Types of platforms:  Ground based platforms Short range systems(50-100 m) Medium Range Systems ( 150- 250 m) Long range Systems (up to 1 km)  Airborne platforms  Space-borne platforms REMOTE SENSING PLATFORMS 38
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    REMOTE SENSING PLATFORMS Types ofplatforms : Ground Based Platforms: Mobile hydraulic platforms (up to 15 m height) 39
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    REMOTE SENSING PLATFORMS Types ofplatforms : Portable Masts •Unstable in wind conditions 40
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    REMOTE SENSING PLATFORMS Types ofplatforms : Towers: •Greater rigidity than masts 41
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    REMOTE SENSING PLATFORMS Types ofplatforms : Weather Surveillance Radar •Detects and tracks typhoons and cloud masses 42
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    REMOTE SENSING PLATFORMS Types ofplatforms : Airborne Platforms: Balloons based : • Altitude range is 22-40 km • Tool to probing the atmosphere • Useful to test the instruments under development 43
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    REMOTE SENSING PLATFORMS Types ofplatforms : Airborne Platforms: Radiosonde: Measure pressure, Temperature, Relative humidity and in the atmosphere Rawinsonde: Measure wind velocity, temperature, presurre and relative humidity 44
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    REMOTE SENSING PLATFORMS Types ofplatforms : Aircraft: Advantages: •High spatial resolution (20 cm or less) •Analog photography is possible (analog photo gives high resolution) • Easily change their schedule to avoid weather problems • Sensor maintenance and repair is easy 45
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    REMOTE SENSING PLATFORMS Types ofplatforms : Aircraft: Dis -Advantages: •Permission to intrude into foreign airspace is required •Many passes to cover larger area •Swath is much less compare to satellite •High cost per unit area 46
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    REMOTE SENSING PLATFORMS Typesof platforms : Space borne platforms: •Sensors are mounted on-board a spacecraft •Rockets , satellites and space shuttles Advantages : •Cover large area •Repetitive coverage of an area of interest 47
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    REMOTE SENSING SENSORS Sensor: Common Definition : • Sensors are Sophisticated devices that are frequently used to detect and respond to electrical or optical signals • A Sensor converts the Physical parameter into a signal which can be measured electrically 48
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    REMOTE SENSING SENSORS Sensor: Definition in Remote Sensing : •Sensor is a device that gathers energy (EMR) converts into signal and present it into a signal and present it in a form (image) suitable for obtaining information about the objet under investigation 49
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    REMOTE SENSING SENSORS Typesof sensors : Active sensors: These sensors detect reflected responses from objects which are irradiated from artificially generated energy sources Ex : Radar, camera with flash light Passive sensors: These sensors detect reflected EMR from natural source Ex : camera without flash light (depends on solar energy), and all RS sensors 51
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    REMOTE SENSING SENSORS Typesof sensors : Non Scanning or Framing sensors: Measure the radiation coming from entire scene at once Ex: Our eyes, Photo cameras 52
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    REMOTE SENSING SENSORS Typesof sensors : Imaging sensors: Form image by collected radiation 1. Scanning sensors: The scene is sensed by point by point or measure the radiation coming from point by point (equivalent to small areas with in the scene) Along track Scanners: Image is acquired by line by line 53
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    REMOTE SENSING SENSORS Typesof sensors : Across track Scanners: Image is acquired by pixel by pixel 54
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    REMOTE SENSING SENSORS Typesof sensors : 2. Non imaging sensors: •These sensors do not form the image •These are used to record spectral quantity or parameter as a function of time Ex: temperature measurement, study of atmosphere 55
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    REMOTE SENSING SENSORS Typesof sensors : Image Plane Scanning: Lens is used after the scan mirror to focus the light on the detector 56
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    REMOTE SENSING SENSORS Typesof sensors :  Object Plane Scanning: Lens is placed before the scan mirror to focus the light on the detector 57
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    Characteristics of Sensors 1.Spatial resolution 2. Spectral resolution 3. Radiometric resolution 4. Temporal resolution 58
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    CHARECTERISTICS OF SENSORS Spatial resolution •Itrefers to the size of the smallest possible object that can be detected •It depends on the instantaneous Field of View (IFOV) and the height of the satellite orbit •It tells the pixel size on the ground surface 59
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    Characteristics of Sensors Spectralresolution •It describes the ability of a sensor to define fine wavelength ranges •Sand is appear as coarser in finer wavelength bands 63
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    Characteristics of Sensors Radiometricresolution •It describes the abilityof sensor to discriminate very slight differences in energy •The number of brightness levels depends upon the number of bits used 64
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    CHARECTERISTICS OF SENSORS Temporalresolution It refers to how often it records imagery of a particular area, which means the frequency of repetitive coverage 66
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    SATELLITE ORBIT  Pathfollowed by the satellite.  Geostationary satellite :- 1. Revolve at the speed matching the rotation of the Earth( 24 hours ). 2. Located at very high altitudes about 36000Km. 3. Are put in the equatorial plane orbiting West to East. 4. One satellite can view one-third of the globe. 5. Used for weather monitoring & communication (INSAT, V-Sat). 67
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    SUN-SYNCHRONOUS SATELLITES  InclinedNorth-South orbit.  Inclination carries the satellite Westward.  Its track covers each area of the world at a Constant time of the day (local sun time ).  Descending pass – day  Ascending pass – shadow ( night )  Payload of passive sensors.  Active sensors can acquire image in ascending pass also. 69
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    Sun-Synchronous (Polar orbiting): Remote Sensing Satellites Geo-Synchronous (Equatorial Orbiting) Satellites : Telecommunications / Weather Day-Time Descending Path Night-Time Ascending Path 71
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    SWATH (Two DimensionalImage of Earth Surface For An Area ) • As a satellite revolve around the Earth, the sensors see a certain portion of Earth surface known as swath. • For satellite images it is very wide between 10 -100 Km. • The apparent Westward shift of satellite (due to Earth’s rotation ) allows the satellite Swath to cover a new area with each pass. 72
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    1. Ground Segment (ReceivingAntenna) 2. Satellite Path (Data Acquisition) 3. Successive Paths (Gap between Paths) 4 Stereoscopic Data Acquisition 1 2 3 4 74
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    RESOLUTION It refers tothe system’s ability to record & display fine details. In RS there are four types of resolution,…  Spatial resolution  Spectral resolution  Radiometric resolution  Temporal resolution. Spatial resolution :- The size of the smallest possible feature that can be detected by the sensors. 76
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     Spectral resolution:- It describes the ability of a sensors to define fine wavelength intervals. Many RS systems record energy over several separate wavelengths ranges at various spectral resolution. These are multispectral scanners. Advanced multispectral sensors detect hundreds of very narrow spectral bands through the spectrum.  Radiometric resolution :- Every time an image is acquired on film or by a sensor, its sensitivity to the magnitude of the electromagnetic energy determines the radiometric resolution.  The radiometric resolution of an imaging system describes its ability to discriminate very slight differences in the energy. 77
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     Temporal resolution:- Temporal resolution refers to the frequency of obtaining data over a given area. It is related to the revisit period or repeativity. 78
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    Spatial Resolution 30m :LS-TM, 80m : LS-MSS 79
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    Spatial Resolution 10m :SPOT-PLA, 20m : SPOT-MLA 80
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    MULTISPECTRAL SCANNING A scanningsystem that is useful to collect data over a range of wavelengths is called MSS. Across track scanning Along track scanning scan lines ar to scan lines Ilel to motion of system motion of system 86
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    SATELLITE IN ORBITS LANDSAT NASA( National Aeronautic & Space Administration ) launched the LANDSAT series. It is Land Observation Satellite Series.  RBV :- Return Beam vidicon.  MSS :- Multispectral scanner. Across track, 4 spectral band data with 80 meters resolution & 6 bits radiometric resolution.  TM :- Thematic map per, 7 ban data for 6 bands, spatial resolution of 30 metres & for thermal band, 120 metres,  ETM :- Enhanced Thematic map per, 8 band data.  Swath :- 185 Km. 87
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    Spot Satellite Altitude :-832 Km. Revisit :- 26 days. Payload :- HRV – High resolution visible sensor. i ) PAN mode 10 m, i i ) MSS mode 20 m. HRVIR – Spot 4 – 10 m resolution VEGETATION – Spot 4 – 1.165 Km resolution. 88
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    INDIAN REMOTE SENSINGSATELLITE OBS. NO. MISSIONS SENSORS ALTITUDE (Km) REVISIT (DAYS) 1. IRS-1A LISS – I LISS – II 904 22 2. IRS-1B LISS – I LISS – II 904 22 3. IRS-1C PAN LISS–III WIFS 817 05 24 05 89
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    4 IRS- 1D PAN LISS-III WIFS 817 05 24 05 5IRS- P2 LISS-II 817 24 6 IRS- P3 WIFS MOS ASTRO- -NOMY 817 24 7 IRS- P4 OCR MSMR 727 03 90
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    OBS. NO. SENSOR SPECTRAL RES. SPATIAL RES. SWATH 1. LISS-I4 BAND 72.50 M 148.0 KM 2. LISS-II 4 BAND 36.25 M 074.0 KM 3. LISS-III 4 BAND 23.50 M 141.0 KM 4. PAN SINGLE BAND 05.80 M 070.0 KM 5. WIFS 2 BAND 188.0 M 810.0 KM 93
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    Remote Sensing Satellitesand Sensors  Landsat : 1, 2, 4,5,7 : MSS : 2 VIS+2 NIR  3. MSS : 2 VIS+2 NIR+1TIR  Landsat 4,5,7 : Bands :1,2,3,4,5,7 VIS and NIR  Band 6 : TIR  IRS – 1A/1B-LISSI/II, 1C/1D-LISS-III 4 Bands : 2 VIS + 2 NIR  SPOT : MLA : 3 bands, PLA : 1 Band (PAN)  ERS Microwave SAR  JERS Microwave SAR 102
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    SATELLITE DATA RECEPTIONTRANSMISSION & PROCESSING Three main options form transmitting data acquired by the satellite to the surface.  Data can be directly transmitted to the earth if a Ground Receiving Station (GRS) is in the line of sight of the structure.  Data can be recorded on board the satellite for transmission to a GRS at later time.  Data can also be relayed to the GRS through the TDRSS ( Tracking & Data Relay Satellite System ) which contains series of Geosynchronous, communication satellite . 103
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    In India GRS islocated at Shadnagar. NRSA ( National Remote Sensing Agency ) acquires process, & distribute the satellite data from Indian as well as other satellites. Satellite (IRS,LANDSAT, SPOT, NOAA, IKONOS ) GRS ( Shadnagar – data in raw digital format ) NRSA (processing to correct errors & Convert to standard format ) 104
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    DIGITAL IMAGE PROCESSING i.e.manipulation of the images with the help of a computer system. Hardware software monitor, ( categorization into CPU three main functions) secondary storage device 1. Image processing ( floppy disc drive, 2. Image enhancement hard disc, scanners, etc) 3. Image classification 105
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    IMAGE PROCESSING Preliminary tothe main analysis :- Removal of error introduced in the imaging. Processes are designed to recognize & compensate for ,… Errors Noise Geometric distortions, introduced into the data during the scanning, transmission & recording processes. 106
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    PREPROCESSING  Radiometric corrections Atmospheric corrections  Geometric corrections 1. Radiometric correction :- Radiometric errors are caused by detector imbalance & atmospheric deficiencies. Radiometric corrections are transmitted on the data in order to remove errors, which are atmospheric correction. 107
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    geometrically independent. Radiometriccorrections are also called as. Cosmetic corrections & are done to improve the visual appearance of the image. Some Radiometric corrections are ,… correction of missing scan line correction for periodic line striping random noise corrections 108
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    2. Atmospheric corrections:- True ground-leaving radiance is altered by scattering & hence it needs corrections. 3. Geometric corrections :- The transformation of remotely sensed images so as it has a scale & projections of a map .is called as Geometric correction. Systematic & nonsystematic disorders are corrected. 109
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    IMAGE ENHANCEMENT Image enhancementtechnique improve the quality & appearance of an image for human visual analysis & subsequently for machine also. Common techniques are … • Contrast stretch ,… linear & nonlinear • Spatial filtering • Band rationing • principal component analysis 110
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    Visual Interpretation  Thedigital data can be transformed to Photographic Images  B&W individual Band Images or 3-band Colour Composites  Elements : Tone / Colour, Texture, Pattern, Association, Shape, Size, Shadow.  Tone / Colour represents the reflectance of the terrain feature in a given spectral band : Black to White gray shades / levels or Blue, Green, Red, Yellow Magenta, Cyan, colours.  Texture refers to the aggregation of tones or repetition of tones in spatial context : fine (water, grass, paddy, wheat, sand, etc.), Coarse (hills & valleys, forests, urban areas, etc.) and Medium (other).  Pattern refers to the spatial arrangement of objects : Urban, agriculture, hilly, water, Roads, Railways, Canals, etc.  Shape, size and shadow : aid in the recognition of the features and therefore in interpretation of their significance  Multi-Thematic Maps : derived from Aerial Photographs : Topography : elevations, slope, Drainage, Soils, Geology, landuse, etc. 111
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    Plate 7.a Landsat5 TM band 2 (green) image. Plate 7.b Landsat 5 TM band 3 (red) image Plate 7.c Landsat 5 TM band 4 (near infrared) image Plate 7.d FCC:Landsat 5 TM band 2,3 and 4.(Band 4, 3 and 2 as RGB) 112
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    Plate 1.a IRS-LISS-IIBand 2 Image Plate 1b. IRS-LII-II band 3 Image Plate 1. c IRS-LISS-II Band 4 Image Plate 2. FCC (IRS 1A LISS-II : (bands 4,3 and 2 as RGB) 113
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    Tone Photo InterpretationElements Texture 115
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    IMAGE CLASSIFICATION We normallycategorize the objects on the Earth’s surface as forest, agriculture field, river, settlements etc. Digital image classification is the process of assigning pixels to classes. These classes represents regions on the image or map & are identified by the number or symbol. classification supervised unsupervised 118
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    Supervised : Itis the process of known identity (trained pixels ) to classify the pixels, whose identity is not known. Unsupervised :classifiers do not utilized training data as basis of classification; classes are spectral classes; need of reference data to identify informational value of the spectral class. Sample area known as training areas. Statistics are calculated for training sites. And every pixels within & outside the training site is assigned to a class or category it most likely resembles. 119
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    DIFFERENT PHASES INSUPERVISED CLASSIFICATION  Appropriate classification scheme for analysis is adopted.  Selection of representative training site & collection of spectral signatures.  Evaluation of statistics for the training site spectrum data.  The statistics are analyzed to select the appropriate features ( bands ) to be used in the classification process.  Appropriate classification algorithm is selected.  Classify the image into N classes.  Statistically analyze & evaluate the classification scheme. 120
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    Thane Creek :Turbid Water Tulsi Lake : Clear Water Vihar Lake : Clear Water Powai Lake : Clear Water IIT Campus Forest around National Park Borivali Barren land Salt Pans Mangroves Urban – Mixed Area Eastern Express Highway Central Railway Lal Bahadur Shastri Marg Mumbai – Thane Creek Area : Landuse-Landcover details 121
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    Classified MS image(MLH) (IRS-LISS-II Bands 4,3,2) WATER LIGHT VEG. THICK VEG. MARSHY URBAN BARREN TURBID LEGEND SALT PANS 122
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    Thermal IR-Sensing  ThermalRanges:3 to 5 and 8 to15 m.  Emittance :Radiation, Day and Night Temperature Changes, Emittances of terrain features.  Radiometers and Scanners (Cooled Detectors): Low-Energy, Coarse- Resolutions : Spatial and Spectral.  Day and Night Time Thermal Images : Geology, Geo-Thermal, Volcanic, Fires,.Thermal pollution, , etc.  Thermal Data : Landsat-3 : Band-8, Landsat- 4 / 5 : Band 6. Day and Night - time.  Interpretation : Cool : Dark (low emittances), Hot : Bright (high emittances) 123
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    Landsat 5TM Daytimeand Nighttime TIR Registered Data 124
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