SlideShare a Scribd company logo
Fundamentals of remote sensing


              By

          Ashok Peddi
Remote sensing is the science of acquiring information about the Earth's

surface without actually being in contact with it. This is done by sensing and

recording reflected or emitted energy and processing, analysing, and applying

that information.

Remote Sensing can be done by two different ways

1)Satellites –satellite Images 2)Aircrafts-Arial Photographs

                                                               Satellite image




                    Aerial photography
Examples

Aerial photography    Satellite image
To analyze(Visual Interpretation) the satellite imagery we use
different combination of bands where it will produce two
variety of(composite) images
1)True Color Composite(RGB)
2)False Color Composite other( than RGB)


     True color                            False Color
Quickbird
PAN – 61 cm
IKONO
S
MSS/
XS – 4
m
Bagdad
, Iraque
What is a satellite
image?
Satellite imagery consists of photographs
of Earth or other planets made by means
of artificial satellites which also gives an
opportunity to process the image and
conclude with analysis depending on your
requirement.
Description of a Satellite Image      Urban area




      River



                                          Urban area


    Vegetation            3500 m

              The different Bands




      Blue                Green     Red
Spatial resolution




                                                23
                                                          40
   Landsat TM     30 m                                         10
   SPOT XS        10 m                               70

   NOAA/AVHRR     1100 m
                                                                    120
   IKONOS         4m


The value retained in each pixel is designated by digital number and it
translates the solar energy reflected by the earth surface (covered by the
pixel).
Radiometric Resolution
Urban area




 River



                            Urban area


            3500 m




Blue     Green       Red
Blue           Gree              Red         Spectral Resolution
       TM 1           nTM 2             TM 3




Near Infrared   Middle Infrared   Middle Infrared
     TM 4               TM 5              TM
                                          7




                                                                    432




   743
Components of a remote sensing system




A – Energy source of illumination       F – Transmissions, reception and processing

B – Interaction with the atmosphere     G – Interpretation and analysis


C – Interaction with the target

E – Recording of energy by the sensor
v = frequency
                                       (number of cycles per second
                                       passing a fixed point)



Wavelength is measured in meters (m) or some factor of meters such as nanometres
(nm, 10-9 m), micrometers (μm, 10-6 m) or centimeters (cm, 10-2 m).

Frequency is normally measured in hertz (Hz), equivalent to one cycle per second, and
various multiples of hertz.
Quantity of radiant energy is expressed in energy units.

Quality of radiant energy is characterised by frequency
(u) or wavelength (l).
                         c=lu
c - velocity of light (3x108m/s)

Wavelength and frequency are inversely related to each
other:
   • the shorter the wavelength, the higher the
   frequency;
   • the longer the wavelength, the lower the frequency.
Electromagnetic spectrum
The electromagnetic spectrum is the range of all
possible       frequencies     of electromagnetic
radiation.* The "electromagnetic spectrum" of an
object has a different meaning, and is instead the
characteristic distribution of electromagnetic
radiation emitted or absorbed by that particular
object.
*The energy in remote sensing is in the form of
electromagnetic radiation.Electro magnetic Radiation is
a particular form of energy emitted and absorbed by
charged particles
The visible portion of the spectrum is a
very small part of the whole spectrum:
•blue - 0.4 a 0.5 mm
•green - 0.5 a 0.6 mm
•red - 0.6 a 0.7 mm.
1 mm = 10-6 m
The wavelengths smaller than 0.4
mm entails:
• gamma rays
• x rays
• ultraviolet radiation
The part of the electromagnetic spectrum with
wavelengths larger than 0.7 mm entails:
• infrared (0.7-10 mm),
• microwaves (1mm-1m)
• radio waves.

Infrared goes from 0.7 mm to 10 mm and can
be divided in three areas:
• Near infrared (0.7-1.0 mm),
• medium infrared (1.3-3.0 mm)
• thermal infrared (> 3 mm).
Interaction of electromagnetic radiation
with atmosphere
The atmosphere has a strong effect on the quantity
and quality of the electromagnetic radiation captured
by the satellite.

The atmosphere effect varies with:
• radiation path (airplane, satellite)
• wavelength
• atmospheric conditions (particles, gases, …)
• ...
Before radiation used for remote sensing reaches the
Earth's surface it has to travel through some distance of
the Earth's atmosphere.

Particles and gases in the atmosphere can affect the
incoming light and radiation. These effects are caused
by the mechanisms of:
    • scattering
    • absorption.
What is the effect of atmosphere in the satellite
images?
   • Atmosphere reduces contrast
   • Atmosphere may blur the images
   • Atmospheres may reduce the quantity of
   radiation
I hope that was useful 
      @ashokped

      Thank you!

More Related Content

What's hot

Fundamentals of Remote Sensing
Fundamentals of Remote Sensing Fundamentals of Remote Sensing
Fundamentals of Remote Sensing
Pallab Jana
 
Chapter 1 (Introduction to remote sensing)
Chapter 1 (Introduction to remote sensing)Chapter 1 (Introduction to remote sensing)
Chapter 1 (Introduction to remote sensing)
Shankar Gangaju
 
Sensors for remote sensing
Sensors for remote sensingSensors for remote sensing
Sensors for remote sensing
Mohsin Siddique
 
Remote Sensing Platforms and Its types
Remote Sensing Platforms and Its typesRemote Sensing Platforms and Its types
Remote Sensing Platforms and Its types
Senthamizhan M
 
Introduction to Remote Sensing
Introduction to Remote SensingIntroduction to Remote Sensing
Introduction to Remote Sensing
Malla Reddy University
 
Aerial photographs and their interpretation
Aerial photographs and their interpretationAerial photographs and their interpretation
Aerial photographs and their interpretationSumant Diwakar
 
Scale of photograph (Aerial Photogrammetry)
Scale of photograph (Aerial Photogrammetry)Scale of photograph (Aerial Photogrammetry)
Scale of photograph (Aerial Photogrammetry)
Mr Amol Ghogare
 
Energy interaction with earth surface features
Energy interaction with earth surface featuresEnergy interaction with earth surface features
Energy interaction with earth surface featuressuchismita11
 
Principles of Remote Sensing
Principles of Remote Sensing Principles of Remote Sensing
Principles of Remote Sensing
Ariful Islam
 
1 remote sensing
1 remote sensing1 remote sensing
1 remote sensing
Dr Zubairul Islam
 
Atmospheric windows
Atmospheric windowsAtmospheric windows
Atmospheric windows
Sadia Rahat
 
Pre processing
Pre processingPre processing
Pre processing
Senthamizhan M
 
Applications of remote sensing in geological aspects
Applications of remote sensing in geological aspectsApplications of remote sensing in geological aspects
Applications of remote sensing in geological aspects
Pramoda Raj
 
Ems interaction with the atmosphere
Ems  interaction with the atmosphereEms  interaction with the atmosphere
Ems interaction with the atmosphere
Sk Abdullah
 
Surface Analysis in GIS
Surface Analysis in GISSurface Analysis in GIS
Surface Analysis in GIS
RituSaha3
 
Fundamentals of Remote Sensing
Fundamentals of Remote SensingFundamentals of Remote Sensing
Fundamentals of Remote Sensing
Shah Naseer
 
Basics of Remote Sensing
Basics of Remote SensingBasics of Remote Sensing
Basics of Remote Sensing
Akash Tikhe
 
IMAGE INTERPRETATION TECHNIQUES of survey
IMAGE INTERPRETATION TECHNIQUES of surveyIMAGE INTERPRETATION TECHNIQUES of survey
IMAGE INTERPRETATION TECHNIQUES of survey
Karan Patel
 
Introduction to Landsat
Introduction to LandsatIntroduction to Landsat
Introduction to Landsat
Nizam GIS
 

What's hot (20)

Fundamentals of Remote Sensing
Fundamentals of Remote Sensing Fundamentals of Remote Sensing
Fundamentals of Remote Sensing
 
Chapter 1 (Introduction to remote sensing)
Chapter 1 (Introduction to remote sensing)Chapter 1 (Introduction to remote sensing)
Chapter 1 (Introduction to remote sensing)
 
Sensors for remote sensing
Sensors for remote sensingSensors for remote sensing
Sensors for remote sensing
 
Remote Sensing Platforms and Its types
Remote Sensing Platforms and Its typesRemote Sensing Platforms and Its types
Remote Sensing Platforms and Its types
 
Introduction to Remote Sensing
Introduction to Remote SensingIntroduction to Remote Sensing
Introduction to Remote Sensing
 
Aerial photographs and their interpretation
Aerial photographs and their interpretationAerial photographs and their interpretation
Aerial photographs and their interpretation
 
Scale of photograph (Aerial Photogrammetry)
Scale of photograph (Aerial Photogrammetry)Scale of photograph (Aerial Photogrammetry)
Scale of photograph (Aerial Photogrammetry)
 
Energy interaction with earth surface features
Energy interaction with earth surface featuresEnergy interaction with earth surface features
Energy interaction with earth surface features
 
Principles of Remote Sensing
Principles of Remote Sensing Principles of Remote Sensing
Principles of Remote Sensing
 
1 remote sensing
1 remote sensing1 remote sensing
1 remote sensing
 
Atmospheric windows
Atmospheric windowsAtmospheric windows
Atmospheric windows
 
Pre processing
Pre processingPre processing
Pre processing
 
Themating maping
Themating mapingThemating maping
Themating maping
 
Applications of remote sensing in geological aspects
Applications of remote sensing in geological aspectsApplications of remote sensing in geological aspects
Applications of remote sensing in geological aspects
 
Ems interaction with the atmosphere
Ems  interaction with the atmosphereEms  interaction with the atmosphere
Ems interaction with the atmosphere
 
Surface Analysis in GIS
Surface Analysis in GISSurface Analysis in GIS
Surface Analysis in GIS
 
Fundamentals of Remote Sensing
Fundamentals of Remote SensingFundamentals of Remote Sensing
Fundamentals of Remote Sensing
 
Basics of Remote Sensing
Basics of Remote SensingBasics of Remote Sensing
Basics of Remote Sensing
 
IMAGE INTERPRETATION TECHNIQUES of survey
IMAGE INTERPRETATION TECHNIQUES of surveyIMAGE INTERPRETATION TECHNIQUES of survey
IMAGE INTERPRETATION TECHNIQUES of survey
 
Introduction to Landsat
Introduction to LandsatIntroduction to Landsat
Introduction to Landsat
 

Viewers also liked

Components of Remote Sensing
Components of Remote SensingComponents of Remote Sensing
Components of Remote Sensing
Abby Varghese
 
Elements of remote sensing
Elements of remote sensingElements of remote sensing
Elements of remote sensingAlbein Vivek
 
Hyperspectral remote sensing for oil exploration
Hyperspectral remote sensing for oil explorationHyperspectral remote sensing for oil exploration
Hyperspectral remote sensing for oil exploration
Jayanth Joshua
 
APPLICATIONS OF REMOTE SENSING AND GIS IN WATERSHED MANAGEMENT
APPLICATIONS OF REMOTE SENSING AND GIS IN WATERSHED MANAGEMENTAPPLICATIONS OF REMOTE SENSING AND GIS IN WATERSHED MANAGEMENT
APPLICATIONS OF REMOTE SENSING AND GIS IN WATERSHED MANAGEMENTSriram Chakravarthy
 
Ppt on remote sensing system
Ppt on remote sensing systemPpt on remote sensing system
Ppt on remote sensing systemAlisha Korpal
 
REMOTE SENSING
REMOTE SENSINGREMOTE SENSING
REMOTE SENSING
KANNAN
 
Remote Sensing PPT
Remote Sensing PPTRemote Sensing PPT
Remote Sensing PPT
Amal Murali
 
Solar Radiation Geometry
Solar Radiation GeometrySolar Radiation Geometry
Solar Radiation GeometryVanita Thakkar
 
What is spatial Resolution
What is spatial ResolutionWhat is spatial Resolution
What is spatial Resolution
Sayed Abulhasan Quadri
 

Viewers also liked (11)

Components of Remote Sensing
Components of Remote SensingComponents of Remote Sensing
Components of Remote Sensing
 
Remote sensing
Remote sensingRemote sensing
Remote sensing
 
Elements of remote sensing
Elements of remote sensingElements of remote sensing
Elements of remote sensing
 
Remote sensing
Remote sensingRemote sensing
Remote sensing
 
Hyperspectral remote sensing for oil exploration
Hyperspectral remote sensing for oil explorationHyperspectral remote sensing for oil exploration
Hyperspectral remote sensing for oil exploration
 
APPLICATIONS OF REMOTE SENSING AND GIS IN WATERSHED MANAGEMENT
APPLICATIONS OF REMOTE SENSING AND GIS IN WATERSHED MANAGEMENTAPPLICATIONS OF REMOTE SENSING AND GIS IN WATERSHED MANAGEMENT
APPLICATIONS OF REMOTE SENSING AND GIS IN WATERSHED MANAGEMENT
 
Ppt on remote sensing system
Ppt on remote sensing systemPpt on remote sensing system
Ppt on remote sensing system
 
REMOTE SENSING
REMOTE SENSINGREMOTE SENSING
REMOTE SENSING
 
Remote Sensing PPT
Remote Sensing PPTRemote Sensing PPT
Remote Sensing PPT
 
Solar Radiation Geometry
Solar Radiation GeometrySolar Radiation Geometry
Solar Radiation Geometry
 
What is spatial Resolution
What is spatial ResolutionWhat is spatial Resolution
What is spatial Resolution
 

Similar to Fundamentals of remote sensing

Introduction to Remote Sensing- by Wankie Richman
Introduction to Remote Sensing- by Wankie RichmanIntroduction to Remote Sensing- by Wankie Richman
Introduction to Remote Sensing- by Wankie Richman
RichmanWankie
 
Remote sensing
Remote sensingRemote sensing
Remote sensing principles-spectral signature-spectural range
Remote sensing principles-spectral signature-spectural rangeRemote sensing principles-spectral signature-spectural range
Remote sensing principles-spectral signature-spectural range
Mohsin Siddique
 
remote sensing-converted.pptx
remote sensing-converted.pptxremote sensing-converted.pptx
remote sensing-converted.pptx
SurendranPSurendran1
 
APPLICATION OF REMOTE SENSING AND GIS IN AGRICULTURE
APPLICATION OF REMOTE SENSING AND GIS IN AGRICULTUREAPPLICATION OF REMOTE SENSING AND GIS IN AGRICULTURE
APPLICATION OF REMOTE SENSING AND GIS IN AGRICULTURE
LagnajeetRoy
 
rsbasics-150227022648-conversion-gate01.pptx
rsbasics-150227022648-conversion-gate01.pptxrsbasics-150227022648-conversion-gate01.pptx
rsbasics-150227022648-conversion-gate01.pptx
BSuresh26
 
Remote sensing
Remote sensingRemote sensing
Remote sensing
Prabhat Paudel
 
Remote Sensing.ppt
Remote Sensing.pptRemote Sensing.ppt
Remote Sensing.ppt
AbidHayat9
 
Introduction to Remote Sensing- Remote sensing” is the science (and to some e...
Introduction to Remote Sensing- Remote sensing” is the science (and to some e...Introduction to Remote Sensing- Remote sensing” is the science (and to some e...
Introduction to Remote Sensing- Remote sensing” is the science (and to some e...
Ange Felix NSANZIYERA
 
PE_Lecture_5_Remote_Sensing_Petroleum_Deposits.pptx
PE_Lecture_5_Remote_Sensing_Petroleum_Deposits.pptxPE_Lecture_5_Remote_Sensing_Petroleum_Deposits.pptx
PE_Lecture_5_Remote_Sensing_Petroleum_Deposits.pptx
shubhamkumar727374
 
Unit iv remote sensing
Unit iv remote sensingUnit iv remote sensing
Unit iv remote sensing
Sharad Ladumor
 
Remote sensing: Its Application & Types
Remote sensing: Its Application & TypesRemote sensing: Its Application & Types
Remote sensing: Its Application & Types
asdfg484362
 
2 Intro RS.pdf
2 Intro RS.pdf2 Intro RS.pdf
2 Intro RS.pdf
Danish523932
 
Remote sensing
Remote sensingRemote sensing
Remote sensingGokul Saud
 
Basics of remote sensing and GIS.pptx
Basics of remote sensing and GIS.pptxBasics of remote sensing and GIS.pptx
Basics of remote sensing and GIS.pptx
FUCKAGAIN
 
.remote sensing.Ece 402 unit-2
.remote sensing.Ece 402 unit-2.remote sensing.Ece 402 unit-2
.remote sensing.Ece 402 unit-2
Vandana Verma
 
Iirs lecure notes for Remote sensing –An Overview of Decision Maker
Iirs lecure notes for Remote sensing –An Overview of Decision MakerIirs lecure notes for Remote sensing –An Overview of Decision Maker
Iirs lecure notes for Remote sensing –An Overview of Decision Maker
Tushar Dholakia
 
RS - Presentation by AP2023.pptx
RS - Presentation by AP2023.pptxRS - Presentation by AP2023.pptx
RS - Presentation by AP2023.pptx
DrAbhishekPandey9
 
Chapter 2 RS.pptx
Chapter 2 RS.pptxChapter 2 RS.pptx
Chapter 2 RS.pptx
ThomasHundasa1
 

Similar to Fundamentals of remote sensing (20)

Iirs rstechnologypdf
Iirs rstechnologypdfIirs rstechnologypdf
Iirs rstechnologypdf
 
Introduction to Remote Sensing- by Wankie Richman
Introduction to Remote Sensing- by Wankie RichmanIntroduction to Remote Sensing- by Wankie Richman
Introduction to Remote Sensing- by Wankie Richman
 
Remote sensing
Remote sensingRemote sensing
Remote sensing
 
Remote sensing principles-spectral signature-spectural range
Remote sensing principles-spectral signature-spectural rangeRemote sensing principles-spectral signature-spectural range
Remote sensing principles-spectral signature-spectural range
 
remote sensing-converted.pptx
remote sensing-converted.pptxremote sensing-converted.pptx
remote sensing-converted.pptx
 
APPLICATION OF REMOTE SENSING AND GIS IN AGRICULTURE
APPLICATION OF REMOTE SENSING AND GIS IN AGRICULTUREAPPLICATION OF REMOTE SENSING AND GIS IN AGRICULTURE
APPLICATION OF REMOTE SENSING AND GIS IN AGRICULTURE
 
rsbasics-150227022648-conversion-gate01.pptx
rsbasics-150227022648-conversion-gate01.pptxrsbasics-150227022648-conversion-gate01.pptx
rsbasics-150227022648-conversion-gate01.pptx
 
Remote sensing
Remote sensingRemote sensing
Remote sensing
 
Remote Sensing.ppt
Remote Sensing.pptRemote Sensing.ppt
Remote Sensing.ppt
 
Introduction to Remote Sensing- Remote sensing” is the science (and to some e...
Introduction to Remote Sensing- Remote sensing” is the science (and to some e...Introduction to Remote Sensing- Remote sensing” is the science (and to some e...
Introduction to Remote Sensing- Remote sensing” is the science (and to some e...
 
PE_Lecture_5_Remote_Sensing_Petroleum_Deposits.pptx
PE_Lecture_5_Remote_Sensing_Petroleum_Deposits.pptxPE_Lecture_5_Remote_Sensing_Petroleum_Deposits.pptx
PE_Lecture_5_Remote_Sensing_Petroleum_Deposits.pptx
 
Unit iv remote sensing
Unit iv remote sensingUnit iv remote sensing
Unit iv remote sensing
 
Remote sensing: Its Application & Types
Remote sensing: Its Application & TypesRemote sensing: Its Application & Types
Remote sensing: Its Application & Types
 
2 Intro RS.pdf
2 Intro RS.pdf2 Intro RS.pdf
2 Intro RS.pdf
 
Remote sensing
Remote sensingRemote sensing
Remote sensing
 
Basics of remote sensing and GIS.pptx
Basics of remote sensing and GIS.pptxBasics of remote sensing and GIS.pptx
Basics of remote sensing and GIS.pptx
 
.remote sensing.Ece 402 unit-2
.remote sensing.Ece 402 unit-2.remote sensing.Ece 402 unit-2
.remote sensing.Ece 402 unit-2
 
Iirs lecure notes for Remote sensing –An Overview of Decision Maker
Iirs lecure notes for Remote sensing –An Overview of Decision MakerIirs lecure notes for Remote sensing –An Overview of Decision Maker
Iirs lecure notes for Remote sensing –An Overview of Decision Maker
 
RS - Presentation by AP2023.pptx
RS - Presentation by AP2023.pptxRS - Presentation by AP2023.pptx
RS - Presentation by AP2023.pptx
 
Chapter 2 RS.pptx
Chapter 2 RS.pptxChapter 2 RS.pptx
Chapter 2 RS.pptx
 

More from Ashok Peddi

Project Monitoring and Problem Solving _Questionaire.docx
Project Monitoring and Problem Solving _Questionaire.docxProject Monitoring and Problem Solving _Questionaire.docx
Project Monitoring and Problem Solving _Questionaire.docx
Ashok Peddi
 
Level I Satellite image Classification-Thematic Map for multipurpouse usage.docx
Level I Satellite image Classification-Thematic Map for multipurpouse usage.docxLevel I Satellite image Classification-Thematic Map for multipurpouse usage.docx
Level I Satellite image Classification-Thematic Map for multipurpouse usage.docx
Ashok Peddi
 
Moving life styles
Moving life stylesMoving life styles
Moving life styles
Ashok Peddi
 
30 days challenge
30 days challenge30 days challenge
30 days challenge
Ashok Peddi
 
Say no to make your yes stronger
Say no to make your yes strongerSay no to make your yes stronger
Say no to make your yes strongerAshok Peddi
 
Auto cad adding_bing_maps_layer-libre
Auto cad adding_bing_maps_layer-libreAuto cad adding_bing_maps_layer-libre
Auto cad adding_bing_maps_layer-libreAshok Peddi
 
Awesome way to live
Awesome way to liveAwesome way to live
Awesome way to live
Ashok Peddi
 
Image classification arc gis10
Image classification arc gis10Image classification arc gis10
Image classification arc gis10
Ashok Peddi
 
Arc gis introduction-ppt
Arc gis introduction-pptArc gis introduction-ppt
Arc gis introduction-pptAshok Peddi
 
Gis arc map& georeferencing-arcgis
Gis arc map& georeferencing-arcgisGis arc map& georeferencing-arcgis
Gis arc map& georeferencing-arcgis
Ashok Peddi
 
Digitization arc gis
Digitization arc gisDigitization arc gis
Digitization arc gis
Ashok Peddi
 
Arc catalog introduction
Arc catalog introductionArc catalog introduction
Arc catalog introduction
Ashok Peddi
 
Introduction to-arc map
Introduction to-arc mapIntroduction to-arc map
Introduction to-arc map
Ashok Peddi
 
Five ways to lead a happy life
Five ways to lead a happy lifeFive ways to lead a happy life
Five ways to lead a happy life
Ashok Peddi
 
Team and team!
Team and team!Team and team!
Team and team!
Ashok Peddi
 
Draw lines from shapes
Draw lines from shapesDraw lines from shapes
Draw lines from shapes
Ashok Peddi
 
Concatenate two different_attribute_fields_in_arc_gis
Concatenate two different_attribute_fields_in_arc_gisConcatenate two different_attribute_fields_in_arc_gis
Concatenate two different_attribute_fields_in_arc_gisAshok Peddi
 
Erasmus mundus visiting scholar report final
Erasmus mundus visiting scholar report finalErasmus mundus visiting scholar report final
Erasmus mundus visiting scholar report finalAshok Peddi
 
Free open source gis
Free open source gisFree open source gis
Free open source gisAshok Peddi
 
Concatenate two different_attribute_fields_in_arc_gis
Concatenate two different_attribute_fields_in_arc_gisConcatenate two different_attribute_fields_in_arc_gis
Concatenate two different_attribute_fields_in_arc_gisAshok Peddi
 

More from Ashok Peddi (20)

Project Monitoring and Problem Solving _Questionaire.docx
Project Monitoring and Problem Solving _Questionaire.docxProject Monitoring and Problem Solving _Questionaire.docx
Project Monitoring and Problem Solving _Questionaire.docx
 
Level I Satellite image Classification-Thematic Map for multipurpouse usage.docx
Level I Satellite image Classification-Thematic Map for multipurpouse usage.docxLevel I Satellite image Classification-Thematic Map for multipurpouse usage.docx
Level I Satellite image Classification-Thematic Map for multipurpouse usage.docx
 
Moving life styles
Moving life stylesMoving life styles
Moving life styles
 
30 days challenge
30 days challenge30 days challenge
30 days challenge
 
Say no to make your yes stronger
Say no to make your yes strongerSay no to make your yes stronger
Say no to make your yes stronger
 
Auto cad adding_bing_maps_layer-libre
Auto cad adding_bing_maps_layer-libreAuto cad adding_bing_maps_layer-libre
Auto cad adding_bing_maps_layer-libre
 
Awesome way to live
Awesome way to liveAwesome way to live
Awesome way to live
 
Image classification arc gis10
Image classification arc gis10Image classification arc gis10
Image classification arc gis10
 
Arc gis introduction-ppt
Arc gis introduction-pptArc gis introduction-ppt
Arc gis introduction-ppt
 
Gis arc map& georeferencing-arcgis
Gis arc map& georeferencing-arcgisGis arc map& georeferencing-arcgis
Gis arc map& georeferencing-arcgis
 
Digitization arc gis
Digitization arc gisDigitization arc gis
Digitization arc gis
 
Arc catalog introduction
Arc catalog introductionArc catalog introduction
Arc catalog introduction
 
Introduction to-arc map
Introduction to-arc mapIntroduction to-arc map
Introduction to-arc map
 
Five ways to lead a happy life
Five ways to lead a happy lifeFive ways to lead a happy life
Five ways to lead a happy life
 
Team and team!
Team and team!Team and team!
Team and team!
 
Draw lines from shapes
Draw lines from shapesDraw lines from shapes
Draw lines from shapes
 
Concatenate two different_attribute_fields_in_arc_gis
Concatenate two different_attribute_fields_in_arc_gisConcatenate two different_attribute_fields_in_arc_gis
Concatenate two different_attribute_fields_in_arc_gis
 
Erasmus mundus visiting scholar report final
Erasmus mundus visiting scholar report finalErasmus mundus visiting scholar report final
Erasmus mundus visiting scholar report final
 
Free open source gis
Free open source gisFree open source gis
Free open source gis
 
Concatenate two different_attribute_fields_in_arc_gis
Concatenate two different_attribute_fields_in_arc_gisConcatenate two different_attribute_fields_in_arc_gis
Concatenate two different_attribute_fields_in_arc_gis
 

Recently uploaded

Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
BookNet Canada
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Thierry Lestable
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
KatiaHIMEUR1
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
Dorra BARTAGUIZ
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
Product School
 
JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
RTTS
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
DianaGray10
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Prayukth K V
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
Sri Ambati
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
91mobiles
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
Thijs Feryn
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
DianaGray10
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Albert Hoitingh
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Jeffrey Haguewood
 

Recently uploaded (20)

Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
 
JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 

Fundamentals of remote sensing

  • 1. Fundamentals of remote sensing By Ashok Peddi
  • 2. Remote sensing is the science of acquiring information about the Earth's surface without actually being in contact with it. This is done by sensing and recording reflected or emitted energy and processing, analysing, and applying that information. Remote Sensing can be done by two different ways 1)Satellites –satellite Images 2)Aircrafts-Arial Photographs Satellite image Aerial photography
  • 3. Examples Aerial photography Satellite image
  • 4. To analyze(Visual Interpretation) the satellite imagery we use different combination of bands where it will produce two variety of(composite) images 1)True Color Composite(RGB) 2)False Color Composite other( than RGB) True color False Color
  • 7. What is a satellite image? Satellite imagery consists of photographs of Earth or other planets made by means of artificial satellites which also gives an opportunity to process the image and conclude with analysis depending on your requirement.
  • 8. Description of a Satellite Image Urban area River Urban area Vegetation 3500 m The different Bands Blue Green Red
  • 9. Spatial resolution 23 40 Landsat TM 30 m 10 SPOT XS 10 m 70 NOAA/AVHRR 1100 m 120 IKONOS 4m The value retained in each pixel is designated by digital number and it translates the solar energy reflected by the earth surface (covered by the pixel).
  • 11. Urban area River Urban area 3500 m Blue Green Red
  • 12. Blue Gree Red Spectral Resolution TM 1 nTM 2 TM 3 Near Infrared Middle Infrared Middle Infrared TM 4 TM 5 TM 7 432 743
  • 13. Components of a remote sensing system A – Energy source of illumination F – Transmissions, reception and processing B – Interaction with the atmosphere G – Interpretation and analysis C – Interaction with the target E – Recording of energy by the sensor
  • 14. v = frequency (number of cycles per second passing a fixed point) Wavelength is measured in meters (m) or some factor of meters such as nanometres (nm, 10-9 m), micrometers (μm, 10-6 m) or centimeters (cm, 10-2 m). Frequency is normally measured in hertz (Hz), equivalent to one cycle per second, and various multiples of hertz.
  • 15. Quantity of radiant energy is expressed in energy units. Quality of radiant energy is characterised by frequency (u) or wavelength (l). c=lu c - velocity of light (3x108m/s) Wavelength and frequency are inversely related to each other: • the shorter the wavelength, the higher the frequency; • the longer the wavelength, the lower the frequency.
  • 16.
  • 17. Electromagnetic spectrum The electromagnetic spectrum is the range of all possible frequencies of electromagnetic radiation.* The "electromagnetic spectrum" of an object has a different meaning, and is instead the characteristic distribution of electromagnetic radiation emitted or absorbed by that particular object. *The energy in remote sensing is in the form of electromagnetic radiation.Electro magnetic Radiation is a particular form of energy emitted and absorbed by charged particles
  • 18.
  • 19. The visible portion of the spectrum is a very small part of the whole spectrum: •blue - 0.4 a 0.5 mm •green - 0.5 a 0.6 mm •red - 0.6 a 0.7 mm. 1 mm = 10-6 m The wavelengths smaller than 0.4 mm entails: • gamma rays • x rays • ultraviolet radiation
  • 20. The part of the electromagnetic spectrum with wavelengths larger than 0.7 mm entails: • infrared (0.7-10 mm), • microwaves (1mm-1m) • radio waves. Infrared goes from 0.7 mm to 10 mm and can be divided in three areas: • Near infrared (0.7-1.0 mm), • medium infrared (1.3-3.0 mm) • thermal infrared (> 3 mm).
  • 21. Interaction of electromagnetic radiation with atmosphere The atmosphere has a strong effect on the quantity and quality of the electromagnetic radiation captured by the satellite. The atmosphere effect varies with: • radiation path (airplane, satellite) • wavelength • atmospheric conditions (particles, gases, …) • ...
  • 22. Before radiation used for remote sensing reaches the Earth's surface it has to travel through some distance of the Earth's atmosphere. Particles and gases in the atmosphere can affect the incoming light and radiation. These effects are caused by the mechanisms of: • scattering • absorption. What is the effect of atmosphere in the satellite images? • Atmosphere reduces contrast • Atmosphere may blur the images • Atmospheres may reduce the quantity of radiation
  • 23. I hope that was useful  @ashokped Thank you!