SlideShare a Scribd company logo
A Presentation on,
Remote Sensing
Presented by: Kadtare Gouri Satej
Index
 What is remote sensing?
 Process of remote sensing
 Concept of remote sensing
 Classification of remote sensing
 Remote sensing data
 Advantages of RS
 Disadvantages of RS
 Application of RS
 Conclusion
 Reference
What is REMOTE SENSING ?
Source of Force
Field
Object (generic)
Reflection
Sensor System e.g.. Camera
Resulting RS Data
Set
e.g.. Image
DATA
ACQUISITION
Definition of Remote Sensing
• A science and art of collecting information about object ,
area or phenomena from distance without being a physical
contact with them.
• Human eye is perhaps the most familiar example of a
remote sensing.
Process of Remote Sensing
• Data acquisition process
• Data analysis
Data Acquisition
1. Energy Source
2. Propagation of energy through atmosphere
3. Interaction of energy with surface features of the
Earth
4. Air Borne or space borne sensors
5. Sensors data in pictorial or digital form
6. Transmission of data to Earth station and data
product generation
7. Multiple data users
Data Analysis
1. Viewing and interpreting devices for pictorical data
and a computer to analyse digital sensor data
2. Completion of information in the form of hard copy
maps and tables
3. Presentation of the information to users
Classification of Remote Sensing
• Active System- provides its own energy source of
EME.
• Passive System- It is need an external energy sources.
Remote Sensing Data
• Remote sensing data that has collected by a sensor
that is not in direct contact with the area being
mapped.
• The type of RS data plays a significant role in the
ability to analyse an area from some distance away.
Advantages of Remote Sensing
• Relatively cheap and rapid method of acquiring up to
date information over large geographical area.
• It is the only way to gain data from in accessible
regions.
• It is the method of constructing base maps in absence
of detailed land survey.
Disadvantages of Remote Sensing
• They are not direct samples of the phenomenon so
must be calibrated against reality.
• They must be corrected geometrically of geo
referenced in order to be useful as maps, not only as
pictures.
• Distinct phenomenon can be confused if they look the
same to the sensor, leading to classification error.
History
• 1860's - Aerial
observations, and
possible photography, for
military purposes were
acquired from balloons in
the Civil War. Balloons
were used to map forest
in 1862, but not used to
acquire aerial
photographs as far as
scholars can tell
History
• 1903 - The Bavarian
Pigeon Corps uses pigeons
to transmit messages and
take aerial photos.
Application of Remote Sensing
• Agriculture
• Land use and soil
• Geology
• Environment
• Digital elevation models
• Watershed
• Forestry
Conclusion
• It is the only way to obtain unbiased data repetitive
coverage.
• The remote sensing is restricted to methods that
electromagnetic energy.
• Remote sensing data include multiple air photos,
radiometer and photometer .
Reference
• www.remotesensing.com
• Book of Advance Survey
• www.sensing.com

More Related Content

What's hot

Carmon remote sensinggis
Carmon remote sensinggisCarmon remote sensinggis
Carmon remote sensinggis
navdeepjamwal
 
Spatial analysis and modeling
Spatial analysis and modelingSpatial analysis and modeling
Spatial analysis and modeling
Tolasa_F
 
Differential gps (dgps) 09 04-12
Differential gps (dgps) 09 04-12Differential gps (dgps) 09 04-12
Differential gps (dgps) 09 04-12
Sumant Diwakar
 

What's hot (20)

Remote sensing
Remote sensing   Remote sensing
Remote sensing
 
Remote sensing
Remote sensingRemote sensing
Remote sensing
 
Remote sensing technology and applications
Remote  sensing technology and applicationsRemote  sensing technology and applications
Remote sensing technology and applications
 
Carmon remote sensinggis
Carmon remote sensinggisCarmon remote sensinggis
Carmon remote sensinggis
 
Remote Sensing - Fundamentals
Remote Sensing - FundamentalsRemote Sensing - Fundamentals
Remote Sensing - Fundamentals
 
Basics of remote sensing, pk mani
Basics of remote sensing, pk maniBasics of remote sensing, pk mani
Basics of remote sensing, pk mani
 
Remote Sensing
Remote Sensing Remote Sensing
Remote Sensing
 
Spatial analysis and modeling
Spatial analysis and modelingSpatial analysis and modeling
Spatial analysis and modeling
 
Gis Geographical Information System Fundamentals
Gis Geographical Information System FundamentalsGis Geographical Information System Fundamentals
Gis Geographical Information System Fundamentals
 
Geographical information system
Geographical information system Geographical information system
Geographical information system
 
Differential gps (dgps) 09 04-12
Differential gps (dgps) 09 04-12Differential gps (dgps) 09 04-12
Differential gps (dgps) 09 04-12
 
Remote sensing
Remote sensingRemote sensing
Remote sensing
 
Remote sensing and image interpretation
Remote sensing and image interpretationRemote sensing and image interpretation
Remote sensing and image interpretation
 
Remote Sensing Data Acquisition,Scanning/Imaging systems
Remote Sensing Data Acquisition,Scanning/Imaging systemsRemote Sensing Data Acquisition,Scanning/Imaging systems
Remote Sensing Data Acquisition,Scanning/Imaging systems
 
Remote sensing in space krishna
Remote sensing in space krishnaRemote sensing in space krishna
Remote sensing in space krishna
 
GIS & GPS PPt
GIS & GPS PPtGIS & GPS PPt
GIS & GPS PPt
 
georeference
georeferencegeoreference
georeference
 
Introduction to GPS
Introduction to GPSIntroduction to GPS
Introduction to GPS
 
DATA in GIS and DATA Query
DATA in GIS and DATA QueryDATA in GIS and DATA Query
DATA in GIS and DATA Query
 
Remote sensing - Sensors, Platforms and Satellite orbits
Remote sensing - Sensors, Platforms and Satellite orbitsRemote sensing - Sensors, Platforms and Satellite orbits
Remote sensing - Sensors, Platforms and Satellite orbits
 

Similar to Remote sensing

Similar to Remote sensing (20)

Remote sensing and tunneling.pptx
Remote sensing and tunneling.pptxRemote sensing and tunneling.pptx
Remote sensing and tunneling.pptx
 
Remote sensing in Civil Engineering
Remote sensing in Civil EngineeringRemote sensing in Civil Engineering
Remote sensing in Civil Engineering
 
Geoinformatics
GeoinformaticsGeoinformatics
Geoinformatics
 
remote sensing ppt.pptx
remote sensing ppt.pptxremote sensing ppt.pptx
remote sensing ppt.pptx
 
Lec (remote sensing).pptx
Lec (remote sensing).pptxLec (remote sensing).pptx
Lec (remote sensing).pptx
 
Chapter 1 (Introduction to remote sensing)
Chapter 1 (Introduction to remote sensing)Chapter 1 (Introduction to remote sensing)
Chapter 1 (Introduction to remote sensing)
 
Remote Sensing
Remote SensingRemote Sensing
Remote Sensing
 
449879014-Remote-Sensing-Ppt.pptx
449879014-Remote-Sensing-Ppt.pptx449879014-Remote-Sensing-Ppt.pptx
449879014-Remote-Sensing-Ppt.pptx
 
Remote Sensing PPT
Remote Sensing PPTRemote Sensing PPT
Remote Sensing PPT
 
Rs
RsRs
Rs
 
Description Working of Remote sensing and GIS .pptx
Description Working of  Remote sensing and GIS .pptxDescription Working of  Remote sensing and GIS .pptx
Description Working of Remote sensing and GIS .pptx
 
Remote sensing
Remote sensingRemote sensing
Remote sensing
 
Unit 1 introduction to remote sensing
Unit  1 introduction to remote sensing Unit  1 introduction to remote sensing
Unit 1 introduction to remote sensing
 
Remote sensing ang GIS
Remote sensing ang GISRemote sensing ang GIS
Remote sensing ang GIS
 
Remote sensing and gis ppt
Remote sensing and gis pptRemote sensing and gis ppt
Remote sensing and gis ppt
 
Soil mapping , remote sensing and use of sensors in precision farming
Soil mapping , remote sensing and use of  sensors in precision farmingSoil mapping , remote sensing and use of  sensors in precision farming
Soil mapping , remote sensing and use of sensors in precision farming
 
RS_GIS_Crop_monitoring-converted.pptx
RS_GIS_Crop_monitoring-converted.pptxRS_GIS_Crop_monitoring-converted.pptx
RS_GIS_Crop_monitoring-converted.pptx
 
Geographic information system and remote sensing
Geographic information system and remote sensingGeographic information system and remote sensing
Geographic information system and remote sensing
 
Geographic information system and remote sensing
Geographic information system and remote sensingGeographic information system and remote sensing
Geographic information system and remote sensing
 
Remote sensing & Gis
Remote sensing & GisRemote sensing & Gis
Remote sensing & Gis
 

Recently uploaded

CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
R&R Consult
 
RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical SolutionsRS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
Atif Razi
 

Recently uploaded (20)

2024 DevOps Pro Europe - Growing at the edge
2024 DevOps Pro Europe - Growing at the edge2024 DevOps Pro Europe - Growing at the edge
2024 DevOps Pro Europe - Growing at the edge
 
İTÜ CAD and Reverse Engineering Workshop
İTÜ CAD and Reverse Engineering WorkshopİTÜ CAD and Reverse Engineering Workshop
İTÜ CAD and Reverse Engineering Workshop
 
ASME IX(9) 2007 Full Version .pdf
ASME IX(9)  2007 Full Version       .pdfASME IX(9)  2007 Full Version       .pdf
ASME IX(9) 2007 Full Version .pdf
 
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical EngineeringIntroduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
 
HYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationHYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generation
 
Natalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in KrakówNatalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in Kraków
 
Online resume builder management system project report.pdf
Online resume builder management system project report.pdfOnline resume builder management system project report.pdf
Online resume builder management system project report.pdf
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
 
BRAKING SYSTEM IN INDIAN RAILWAY AutoCAD DRAWING
BRAKING SYSTEM IN INDIAN RAILWAY AutoCAD DRAWINGBRAKING SYSTEM IN INDIAN RAILWAY AutoCAD DRAWING
BRAKING SYSTEM IN INDIAN RAILWAY AutoCAD DRAWING
 
Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.
 
RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical SolutionsRS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
 
Top 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering ScientistTop 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering Scientist
 
ENERGY STORAGE DEVICES INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES  INTRODUCTION UNIT-IENERGY STORAGE DEVICES  INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES INTRODUCTION UNIT-I
 
A case study of cinema management system project report..pdf
A case study of cinema management system project report..pdfA case study of cinema management system project report..pdf
A case study of cinema management system project report..pdf
 
Pharmacy management system project report..pdf
Pharmacy management system project report..pdfPharmacy management system project report..pdf
Pharmacy management system project report..pdf
 
Event Management System Vb Net Project Report.pdf
Event Management System Vb Net  Project Report.pdfEvent Management System Vb Net  Project Report.pdf
Event Management System Vb Net Project Report.pdf
 
Democratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek AryaDemocratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek Arya
 
Construction method of steel structure space frame .pptx
Construction method of steel structure space frame .pptxConstruction method of steel structure space frame .pptx
Construction method of steel structure space frame .pptx
 
ONLINE CAR SERVICING SYSTEM PROJECT REPORT.pdf
ONLINE CAR SERVICING SYSTEM PROJECT REPORT.pdfONLINE CAR SERVICING SYSTEM PROJECT REPORT.pdf
ONLINE CAR SERVICING SYSTEM PROJECT REPORT.pdf
 
KIT-601 Lecture Notes-UNIT-3.pdf Mining Data Stream
KIT-601 Lecture Notes-UNIT-3.pdf Mining Data StreamKIT-601 Lecture Notes-UNIT-3.pdf Mining Data Stream
KIT-601 Lecture Notes-UNIT-3.pdf Mining Data Stream
 

Remote sensing

  • 1. A Presentation on, Remote Sensing Presented by: Kadtare Gouri Satej
  • 2. Index  What is remote sensing?  Process of remote sensing  Concept of remote sensing  Classification of remote sensing  Remote sensing data  Advantages of RS  Disadvantages of RS  Application of RS  Conclusion  Reference
  • 3. What is REMOTE SENSING ? Source of Force Field Object (generic) Reflection Sensor System e.g.. Camera Resulting RS Data Set e.g.. Image DATA ACQUISITION
  • 4. Definition of Remote Sensing • A science and art of collecting information about object , area or phenomena from distance without being a physical contact with them. • Human eye is perhaps the most familiar example of a remote sensing.
  • 5. Process of Remote Sensing • Data acquisition process • Data analysis
  • 6. Data Acquisition 1. Energy Source 2. Propagation of energy through atmosphere 3. Interaction of energy with surface features of the Earth 4. Air Borne or space borne sensors 5. Sensors data in pictorial or digital form 6. Transmission of data to Earth station and data product generation 7. Multiple data users
  • 7. Data Analysis 1. Viewing and interpreting devices for pictorical data and a computer to analyse digital sensor data 2. Completion of information in the form of hard copy maps and tables 3. Presentation of the information to users
  • 8. Classification of Remote Sensing • Active System- provides its own energy source of EME. • Passive System- It is need an external energy sources.
  • 9.
  • 10. Remote Sensing Data • Remote sensing data that has collected by a sensor that is not in direct contact with the area being mapped. • The type of RS data plays a significant role in the ability to analyse an area from some distance away.
  • 11. Advantages of Remote Sensing • Relatively cheap and rapid method of acquiring up to date information over large geographical area. • It is the only way to gain data from in accessible regions. • It is the method of constructing base maps in absence of detailed land survey.
  • 12. Disadvantages of Remote Sensing • They are not direct samples of the phenomenon so must be calibrated against reality. • They must be corrected geometrically of geo referenced in order to be useful as maps, not only as pictures. • Distinct phenomenon can be confused if they look the same to the sensor, leading to classification error.
  • 13. History • 1860's - Aerial observations, and possible photography, for military purposes were acquired from balloons in the Civil War. Balloons were used to map forest in 1862, but not used to acquire aerial photographs as far as scholars can tell
  • 14. History • 1903 - The Bavarian Pigeon Corps uses pigeons to transmit messages and take aerial photos.
  • 15. Application of Remote Sensing • Agriculture • Land use and soil • Geology • Environment • Digital elevation models • Watershed • Forestry
  • 16. Conclusion • It is the only way to obtain unbiased data repetitive coverage. • The remote sensing is restricted to methods that electromagnetic energy. • Remote sensing data include multiple air photos, radiometer and photometer .
  • 17. Reference • www.remotesensing.com • Book of Advance Survey • www.sensing.com