SlideShare une entreprise Scribd logo
1  sur  10
APPROACHES FOR
 ATMOSPHERIC
  CORRECTION



       NIRMAL KUMAR
           AP:140
Atmospheric correction
To retrieve surface reflectance from RS imagery
   relationship between radiance
    received at the sensor (above
    atmosphere) and radiance
    leaving the ground

    Ls =H.ρ.T + Lp
 Ls – at sensor radiance
 H – total downwelling radiance
 ρ – reflectance of target
 T – atmospheric transmittance
 Lp – atmospheric path radiance
 (wavelength dependent)
Why do atmospheric correction?
 Physical       relation of radiance to surface
    property (surface normal, surface roughness, reflectance).
       Atmospheric component needs to be removed
   Image ratios (NDVI) leads to biased estimate
       Scattering increases inversely with wavelength
       The involved channels will be unequally affected
 Time difference between image acquisition and
  ground truth measurements
 Comparison of RS data captured at different times
       Conditions may be different
Atmospheric correction methods
 Image   – based methods
     Dark pixel method
     Regression method
 Empirical line method
 Radiative transfer models
 Relative correction method (PIFs)
Dark pixel subtraction method
                   Ls =H.ρ.T + Lp
 Pixel
      values of low reflectance areas
 near zero
     Exposure of dark colored rocks
     Deep shadows
     Clear water
 Lowest pixel values in visible and NIR are
  approximation to atmospheric path
  radiance
 Minimum values subtracted from image
Regression method
 NIR   pixel values are plotted against values
  in other bands
 Apply a straight line using the least square
   method
 If there was no haze, the line would pass
  through origin
 resulting offset is approximation for
  atmospheric path radiance
 offset subtracted from image
Empirical line correction method
  Use target of “known”, low and high reflectance
   targets in one channel e.g. non-turbid water & desert,
   or dense dark vegetation & snow
  Assume radiance, L = gain * DN + offset
  Offset is assumed to be atmospheric part of signal
              Radiance, L

                     Offset assumed to be atmospheric
                     path radiance




                                                                Regression line L = G*DN + O



                                                        Target DN values
                                                        DN
Conversion of DNs to absolute
           radiance value
3   steps
  • Convert DN to apparent radiance Lapp
  • Convert Lapp to apparent reflectance (knowing
    response of sensor)
  • Convert to at-ground reflectance i.e. intrinsic surface
    property by accounting for atmosphere
Use Radiative transfer models
Radiative transfer models
 Limited by the need to supply data about
  atmospheric conditions at time of acquisition
 Mostly used with "standard atmospheres"
 Available numerical models
        􀁸 LOWTRAN 7
        􀁸 MODTRAN 4
        􀁸 ATREM
        􀁸 ATCOR
        􀁸 6S (Second Simulation of the Satellite Signal in
        the solar spectrum)
THANK YOU

Contenu connexe

Tendances

Digital Elevation Models
Digital Elevation ModelsDigital Elevation Models
Digital Elevation ModelsBernd Flmla
 
Remote sensing-presentaion
Remote sensing-presentaionRemote sensing-presentaion
Remote sensing-presentaionMouna Guru
 
Radar remote sensing, P K MANI
Radar remote sensing, P K MANIRadar remote sensing, P K MANI
Radar remote sensing, P K MANIP.K. Mani
 
Basics of Remote Sensing
Basics of Remote SensingBasics of Remote Sensing
Basics of Remote SensingAkash Tikhe
 
Remote sensing and image interpretation
Remote sensing and image interpretationRemote sensing and image interpretation
Remote sensing and image interpretationMd. Nazir Hossain
 
Spatial analysis and modeling
Spatial analysis and modelingSpatial analysis and modeling
Spatial analysis and modelingTolasa_F
 
Change detection using remote sensing and GIS
Change detection using remote sensing and GISChange detection using remote sensing and GIS
Change detection using remote sensing and GISTilok Chetri
 
Digital image processing
Digital image processingDigital image processing
Digital image processingVandana Verma
 
Digital Image Processing and gis software systems
Digital Image Processing and gis software systemsDigital Image Processing and gis software systems
Digital Image Processing and gis software systemsNirmal Kumar
 
Atmospheric correction albufera_web
Atmospheric correction albufera_webAtmospheric correction albufera_web
Atmospheric correction albufera_webGabriel Parodi
 
spatial resolutionin remote sensing
 spatial resolutionin remote sensing spatial resolutionin remote sensing
spatial resolutionin remote sensingGhassan Hadi
 
Geographic information system
Geographic information systemGeographic information system
Geographic information systemOssamaElShanawany
 

Tendances (20)

Digital Elevation Models
Digital Elevation ModelsDigital Elevation Models
Digital Elevation Models
 
Remote sensing-presentaion
Remote sensing-presentaionRemote sensing-presentaion
Remote sensing-presentaion
 
Radar remote sensing, P K MANI
Radar remote sensing, P K MANIRadar remote sensing, P K MANI
Radar remote sensing, P K MANI
 
Microwave remote sensing
Microwave remote sensingMicrowave remote sensing
Microwave remote sensing
 
Remote sensing & gis
Remote sensing & gisRemote sensing & gis
Remote sensing & gis
 
Basics of Remote Sensing
Basics of Remote SensingBasics of Remote Sensing
Basics of Remote Sensing
 
Remote sensing and image interpretation
Remote sensing and image interpretationRemote sensing and image interpretation
Remote sensing and image interpretation
 
Spatial analysis and modeling
Spatial analysis and modelingSpatial analysis and modeling
Spatial analysis and modeling
 
Change detection using remote sensing and GIS
Change detection using remote sensing and GISChange detection using remote sensing and GIS
Change detection using remote sensing and GIS
 
Digital image processing
Digital image processingDigital image processing
Digital image processing
 
Digital Image Processing and gis software systems
Digital Image Processing and gis software systemsDigital Image Processing and gis software systems
Digital Image Processing and gis software systems
 
Types of GIS Data
Types of GIS DataTypes of GIS Data
Types of GIS Data
 
Atmospheric correction albufera_web
Atmospheric correction albufera_webAtmospheric correction albufera_web
Atmospheric correction albufera_web
 
Band combinations (1)
Band combinations (1)Band combinations (1)
Band combinations (1)
 
Introduction to GIS
Introduction to GISIntroduction to GIS
Introduction to GIS
 
GIS Data Types
GIS Data TypesGIS Data Types
GIS Data Types
 
spatial resolutionin remote sensing
 spatial resolutionin remote sensing spatial resolutionin remote sensing
spatial resolutionin remote sensing
 
Introduction to GIS
Introduction to GISIntroduction to GIS
Introduction to GIS
 
GIS - Topology
GIS - Topology GIS - Topology
GIS - Topology
 
Geographic information system
Geographic information systemGeographic information system
Geographic information system
 

En vedette

Atmospheric Correction of Remotely Sensed Images in Spatial and Transform Domain
Atmospheric Correction of Remotely Sensed Images in Spatial and Transform DomainAtmospheric Correction of Remotely Sensed Images in Spatial and Transform Domain
Atmospheric Correction of Remotely Sensed Images in Spatial and Transform DomainCSCJournals
 
image processing-spatial resolution
image processing-spatial resolutionimage processing-spatial resolution
image processing-spatial resolutionbagavath85
 
Scanners, image resolution, orbit in remote sensing, pk mani
Scanners, image resolution, orbit in remote sensing, pk maniScanners, image resolution, orbit in remote sensing, pk mani
Scanners, image resolution, orbit in remote sensing, pk maniP.K. Mani
 
A Brief Introduction to Remote Sensing Satellites
A Brief Introduction to Remote Sensing Satellites A Brief Introduction to Remote Sensing Satellites
A Brief Introduction to Remote Sensing Satellites Alireza Rahimzadeganasl
 
Image pre processing
Image pre processingImage pre processing
Image pre processingAshish Kumar
 
Conflict Resolution Strategies
Conflict Resolution Strategies Conflict Resolution Strategies
Conflict Resolution Strategies Maysoun Mohamed
 
Digital Image Processing
Digital Image ProcessingDigital Image Processing
Digital Image ProcessingSahil Biswas
 
How to Make Awesome SlideShares: Tips & Tricks
How to Make Awesome SlideShares: Tips & TricksHow to Make Awesome SlideShares: Tips & Tricks
How to Make Awesome SlideShares: Tips & TricksSlideShare
 
Getting Started With SlideShare
Getting Started With SlideShareGetting Started With SlideShare
Getting Started With SlideShareSlideShare
 

En vedette (13)

Atmospheric Correction of Remotely Sensed Images in Spatial and Transform Domain
Atmospheric Correction of Remotely Sensed Images in Spatial and Transform DomainAtmospheric Correction of Remotely Sensed Images in Spatial and Transform Domain
Atmospheric Correction of Remotely Sensed Images in Spatial and Transform Domain
 
Basics of dip
Basics of dipBasics of dip
Basics of dip
 
image processing-spatial resolution
image processing-spatial resolutionimage processing-spatial resolution
image processing-spatial resolution
 
Scanners, image resolution, orbit in remote sensing, pk mani
Scanners, image resolution, orbit in remote sensing, pk maniScanners, image resolution, orbit in remote sensing, pk mani
Scanners, image resolution, orbit in remote sensing, pk mani
 
A Brief Introduction to Remote Sensing Satellites
A Brief Introduction to Remote Sensing Satellites A Brief Introduction to Remote Sensing Satellites
A Brief Introduction to Remote Sensing Satellites
 
Image pre processing
Image pre processingImage pre processing
Image pre processing
 
Molecular farming
Molecular farmingMolecular farming
Molecular farming
 
Conflict Resolution Strategies
Conflict Resolution Strategies Conflict Resolution Strategies
Conflict Resolution Strategies
 
Digital Image Processing
Digital Image ProcessingDigital Image Processing
Digital Image Processing
 
What is spatial Resolution
What is spatial ResolutionWhat is spatial Resolution
What is spatial Resolution
 
Slideshare ppt
Slideshare pptSlideshare ppt
Slideshare ppt
 
How to Make Awesome SlideShares: Tips & Tricks
How to Make Awesome SlideShares: Tips & TricksHow to Make Awesome SlideShares: Tips & Tricks
How to Make Awesome SlideShares: Tips & Tricks
 
Getting Started With SlideShare
Getting Started With SlideShareGetting Started With SlideShare
Getting Started With SlideShare
 

Similaire à Atmospheric correction

RADAR MEASUREMENTS LECTURE EECS BERKELY!
RADAR MEASUREMENTS LECTURE EECS BERKELY!RADAR MEASUREMENTS LECTURE EECS BERKELY!
RADAR MEASUREMENTS LECTURE EECS BERKELY!nagatic941
 
Adjoint Radiosity Borel Earsel09 2 11 09 White
Adjoint Radiosity Borel Earsel09 2 11 09 WhiteAdjoint Radiosity Borel Earsel09 2 11 09 White
Adjoint Radiosity Borel Earsel09 2 11 09 Whiteguest0030172
 
Adjoint Radiosity Borel Earsel09 2 11 09 White
Adjoint Radiosity Borel Earsel09 2 11 09 WhiteAdjoint Radiosity Borel Earsel09 2 11 09 White
Adjoint Radiosity Borel Earsel09 2 11 09 WhiteChristoph Borel
 
Raqrs06 Borel Talk 8 15 06 White
Raqrs06 Borel Talk 8 15 06 WhiteRaqrs06 Borel Talk 8 15 06 White
Raqrs06 Borel Talk 8 15 06 WhiteChristoph Borel
 
Raqrs06 Borel Talk 8 15 06 White
Raqrs06 Borel Talk 8 15 06 WhiteRaqrs06 Borel Talk 8 15 06 White
Raqrs06 Borel Talk 8 15 06 Whiteguest0030172
 
wirelessSlidesCh04 (2).ppt
wirelessSlidesCh04 (2).pptwirelessSlidesCh04 (2).ppt
wirelessSlidesCh04 (2).pptasodariyabhavesh
 
MO3.T10.5Ahmed.ppt
MO3.T10.5Ahmed.pptMO3.T10.5Ahmed.ppt
MO3.T10.5Ahmed.pptgrssieee
 
MO3.T10.5Ahmed.ppt
MO3.T10.5Ahmed.pptMO3.T10.5Ahmed.ppt
MO3.T10.5Ahmed.pptgrssieee
 
MO3.T10.5Ahmed.ppt
MO3.T10.5Ahmed.pptMO3.T10.5Ahmed.ppt
MO3.T10.5Ahmed.pptgrssieee
 
FR4.T05.1.ppt
FR4.T05.1.pptFR4.T05.1.ppt
FR4.T05.1.pptgrssieee
 
IGARSS_2011_XB_v007.pptx
IGARSS_2011_XB_v007.pptxIGARSS_2011_XB_v007.pptx
IGARSS_2011_XB_v007.pptxgrssieee
 
IGARSS_2011_XB_v007.pptx
IGARSS_2011_XB_v007.pptxIGARSS_2011_XB_v007.pptx
IGARSS_2011_XB_v007.pptxgrssieee
 
4-IGARSS_2011_v4.ppt
4-IGARSS_2011_v4.ppt4-IGARSS_2011_v4.ppt
4-IGARSS_2011_v4.pptgrssieee
 
Lecture10 radar principles - Dragon Ball XenoVerse 2
Lecture10 radar principles - Dragon Ball XenoVerse 2Lecture10 radar principles - Dragon Ball XenoVerse 2
Lecture10 radar principles - Dragon Ball XenoVerse 2thenewswise
 
Informe de enlace de radion enlace
Informe de enlace de radion enlaceInforme de enlace de radion enlace
Informe de enlace de radion enlaceDaniel Nunura
 
2004-06-23 Retrieval of smoke aerosol loading from remote sensing data
2004-06-23 Retrieval of smoke aerosol loading from remote sensing data2004-06-23 Retrieval of smoke aerosol loading from remote sensing data
2004-06-23 Retrieval of smoke aerosol loading from remote sensing dataRudolf Husar
 

Similaire à Atmospheric correction (20)

RADAR MEASUREMENTS LECTURE EECS BERKELY!
RADAR MEASUREMENTS LECTURE EECS BERKELY!RADAR MEASUREMENTS LECTURE EECS BERKELY!
RADAR MEASUREMENTS LECTURE EECS BERKELY!
 
Adjoint Radiosity Borel Earsel09 2 11 09 White
Adjoint Radiosity Borel Earsel09 2 11 09 WhiteAdjoint Radiosity Borel Earsel09 2 11 09 White
Adjoint Radiosity Borel Earsel09 2 11 09 White
 
Adjoint Radiosity Borel Earsel09 2 11 09 White
Adjoint Radiosity Borel Earsel09 2 11 09 WhiteAdjoint Radiosity Borel Earsel09 2 11 09 White
Adjoint Radiosity Borel Earsel09 2 11 09 White
 
radar-ppt
radar-pptradar-ppt
radar-ppt
 
Raqrs06 Borel Talk 8 15 06 White
Raqrs06 Borel Talk 8 15 06 WhiteRaqrs06 Borel Talk 8 15 06 White
Raqrs06 Borel Talk 8 15 06 White
 
Raqrs06 Borel Talk 8 15 06 White
Raqrs06 Borel Talk 8 15 06 WhiteRaqrs06 Borel Talk 8 15 06 White
Raqrs06 Borel Talk 8 15 06 White
 
wirelessSlidesCh04 (2).ppt
wirelessSlidesCh04 (2).pptwirelessSlidesCh04 (2).ppt
wirelessSlidesCh04 (2).ppt
 
MO3.T10.5Ahmed.ppt
MO3.T10.5Ahmed.pptMO3.T10.5Ahmed.ppt
MO3.T10.5Ahmed.ppt
 
MO3.T10.5Ahmed.ppt
MO3.T10.5Ahmed.pptMO3.T10.5Ahmed.ppt
MO3.T10.5Ahmed.ppt
 
MO3.T10.5Ahmed.ppt
MO3.T10.5Ahmed.pptMO3.T10.5Ahmed.ppt
MO3.T10.5Ahmed.ppt
 
FR4.T05.1.ppt
FR4.T05.1.pptFR4.T05.1.ppt
FR4.T05.1.ppt
 
IGARSS_2011_XB_v007.pptx
IGARSS_2011_XB_v007.pptxIGARSS_2011_XB_v007.pptx
IGARSS_2011_XB_v007.pptx
 
IGARSS_2011_XB_v007.pptx
IGARSS_2011_XB_v007.pptxIGARSS_2011_XB_v007.pptx
IGARSS_2011_XB_v007.pptx
 
Sar
SarSar
Sar
 
Rocca.ppt
Rocca.pptRocca.ppt
Rocca.ppt
 
4-IGARSS_2011_v4.ppt
4-IGARSS_2011_v4.ppt4-IGARSS_2011_v4.ppt
4-IGARSS_2011_v4.ppt
 
Lecture10 radar principles - Dragon Ball XenoVerse 2
Lecture10 radar principles - Dragon Ball XenoVerse 2Lecture10 radar principles - Dragon Ball XenoVerse 2
Lecture10 radar principles - Dragon Ball XenoVerse 2
 
Informe de enlace de radion enlace
Informe de enlace de radion enlaceInforme de enlace de radion enlace
Informe de enlace de radion enlace
 
2004-06-23 Retrieval of smoke aerosol loading from remote sensing data
2004-06-23 Retrieval of smoke aerosol loading from remote sensing data2004-06-23 Retrieval of smoke aerosol loading from remote sensing data
2004-06-23 Retrieval of smoke aerosol loading from remote sensing data
 
Radar tech.ppt
Radar tech.pptRadar tech.ppt
Radar tech.ppt
 

Plus de Nirmal Kumar

Geostatictics for soil nutrient mapping
Geostatictics for soil nutrient mappingGeostatictics for soil nutrient mapping
Geostatictics for soil nutrient mappingNirmal Kumar
 
Chemistry of submerged soils
Chemistry of submerged soilsChemistry of submerged soils
Chemistry of submerged soilsNirmal Kumar
 
Solute transport in soils
Solute transport in soilsSolute transport in soils
Solute transport in soilsNirmal Kumar
 
Measurement scales
Measurement scalesMeasurement scales
Measurement scalesNirmal Kumar
 
G n U magazine coverage of NBSS&LUP
G n U magazine coverage of NBSS&LUPG n U magazine coverage of NBSS&LUP
G n U magazine coverage of NBSS&LUPNirmal Kumar
 
Non conventional energy sources
Non conventional energy sourcesNon conventional energy sources
Non conventional energy sourcesNirmal Kumar
 
Blue tongue disease in sheep and goats
Blue tongue disease in sheep and goatsBlue tongue disease in sheep and goats
Blue tongue disease in sheep and goatsNirmal Kumar
 
Participatory rural appraisal of karab village , mathura
Participatory rural appraisal of karab village , mathuraParticipatory rural appraisal of karab village , mathura
Participatory rural appraisal of karab village , mathuraNirmal Kumar
 
Guidlines for filling project information in pims
Guidlines for filling project information in pimsGuidlines for filling project information in pims
Guidlines for filling project information in pimsNirmal Kumar
 

Plus de Nirmal Kumar (9)

Geostatictics for soil nutrient mapping
Geostatictics for soil nutrient mappingGeostatictics for soil nutrient mapping
Geostatictics for soil nutrient mapping
 
Chemistry of submerged soils
Chemistry of submerged soilsChemistry of submerged soils
Chemistry of submerged soils
 
Solute transport in soils
Solute transport in soilsSolute transport in soils
Solute transport in soils
 
Measurement scales
Measurement scalesMeasurement scales
Measurement scales
 
G n U magazine coverage of NBSS&LUP
G n U magazine coverage of NBSS&LUPG n U magazine coverage of NBSS&LUP
G n U magazine coverage of NBSS&LUP
 
Non conventional energy sources
Non conventional energy sourcesNon conventional energy sources
Non conventional energy sources
 
Blue tongue disease in sheep and goats
Blue tongue disease in sheep and goatsBlue tongue disease in sheep and goats
Blue tongue disease in sheep and goats
 
Participatory rural appraisal of karab village , mathura
Participatory rural appraisal of karab village , mathuraParticipatory rural appraisal of karab village , mathura
Participatory rural appraisal of karab village , mathura
 
Guidlines for filling project information in pims
Guidlines for filling project information in pimsGuidlines for filling project information in pims
Guidlines for filling project information in pims
 

Dernier

Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfAdmir Softic
 
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...KokoStevan
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAssociation for Project Management
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphThiyagu K
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Shubhangi Sonawane
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.pptRamjanShidvankar
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...christianmathematics
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfAyushMahapatra5
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxVishalSingh1417
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfagholdier
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
fourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingfourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingTeacherCyreneCayanan
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhikauryashika82
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 

Dernier (20)

Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
fourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingfourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writing
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 

Atmospheric correction

  • 1. APPROACHES FOR ATMOSPHERIC CORRECTION NIRMAL KUMAR AP:140
  • 2. Atmospheric correction To retrieve surface reflectance from RS imagery  relationship between radiance received at the sensor (above atmosphere) and radiance leaving the ground Ls =H.ρ.T + Lp Ls – at sensor radiance H – total downwelling radiance ρ – reflectance of target T – atmospheric transmittance Lp – atmospheric path radiance (wavelength dependent)
  • 3. Why do atmospheric correction?  Physical relation of radiance to surface property (surface normal, surface roughness, reflectance).  Atmospheric component needs to be removed  Image ratios (NDVI) leads to biased estimate  Scattering increases inversely with wavelength  The involved channels will be unequally affected  Time difference between image acquisition and ground truth measurements  Comparison of RS data captured at different times  Conditions may be different
  • 4. Atmospheric correction methods  Image – based methods  Dark pixel method  Regression method  Empirical line method  Radiative transfer models  Relative correction method (PIFs)
  • 5. Dark pixel subtraction method Ls =H.ρ.T + Lp  Pixel values of low reflectance areas near zero  Exposure of dark colored rocks  Deep shadows  Clear water  Lowest pixel values in visible and NIR are approximation to atmospheric path radiance  Minimum values subtracted from image
  • 6. Regression method  NIR pixel values are plotted against values in other bands  Apply a straight line using the least square method  If there was no haze, the line would pass through origin  resulting offset is approximation for atmospheric path radiance  offset subtracted from image
  • 7. Empirical line correction method  Use target of “known”, low and high reflectance targets in one channel e.g. non-turbid water & desert, or dense dark vegetation & snow  Assume radiance, L = gain * DN + offset  Offset is assumed to be atmospheric part of signal Radiance, L Offset assumed to be atmospheric path radiance Regression line L = G*DN + O Target DN values DN
  • 8. Conversion of DNs to absolute radiance value 3 steps • Convert DN to apparent radiance Lapp • Convert Lapp to apparent reflectance (knowing response of sensor) • Convert to at-ground reflectance i.e. intrinsic surface property by accounting for atmosphere Use Radiative transfer models
  • 9. Radiative transfer models  Limited by the need to supply data about atmospheric conditions at time of acquisition  Mostly used with "standard atmospheres"  Available numerical models  􀁸 LOWTRAN 7  􀁸 MODTRAN 4  􀁸 ATREM  􀁸 ATCOR  􀁸 6S (Second Simulation of the Satellite Signal in the solar spectrum)