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'''Atmospheric correction''' is the process of removing the effects of the [[atmosphere]] on the reflectance values of images taken by [[satellite]] or airborne sensors.<ref>{{Cite journal|last=Pacifici|first=F.|last2=Longbotham|first2=N.|last3=Emery|first3=W. J.|date=2014-10-01|title=The Importance of Physical Quantities for the Analysis of Multitemporal and Multiangular Optical Very High Spatial Resolution Images|journal=IEEE Transactions on Geoscience and Remote Sensing|volume=52|issue=10|pages=6241–6256|doi=10.1109/TGRS.2013.2295819|bibcode=2014ITGRS..52.6241P|doi-access=free}}</ref><ref>{{cite web |url=http://www.umiacs.umd.edu/research/GC/atmo/index.html |title=Atmospheric Correction |access-date=2008-08-18 |publisher=University of Maryland Institute for Advanced Computer Studies| archive-url= https://web.archive.org/web/20080907082923/http://www.umiacs.umd.edu/research/GC/atmo/index.html| archive-date= 7 September 2008 | url-status= live}}</ref> Atmospheric effects in optical remote sensing are significant and complex, dramatically altering the spectral nature of the radiation reaching the remote sensor.<ref>{{cite book |last=Schowengerdt |first=Robert |date=2007 |title=Remote Sensing: Models and Methods for Image Processing |publisher=Elsevier Inc |page=337 |isbn=0-12-369407-8}}</ref> There are various approaches and techniques to conducting atmospheric correction.<ref>{{cite book |last=Schowengerdt |first=Robert |date=2007 |title=Remote Sensing: Models and Methods for Image Processing |publisher=Elsevier Inc |page=338 |isbn=0-12-369407-8}}</ref>
'''Atmospheric correction''' is the process of removing the effects of the [[atmosphere]] on the reflectance values of images taken by [[satellite]] or airborne sensors.<ref>{{Cite journal|last=Pacifici|first=F.|last2=Longbotham|first2=N.|last3=Emery|first3=W. J.|date=2014-10-01|title=The Importance of Physical Quantities for the Analysis of Multitemporal and Multiangular Optical Very High Spatial Resolution Images|journal=IEEE Transactions on Geoscience and Remote Sensing|volume=52|issue=10|pages=6241–6256|doi=10.1109/TGRS.2013.2295819|bibcode=2014ITGRS..52.6241P|doi-access=free}}</ref><ref>{{cite web |url=http://www.umiacs.umd.edu/research/GC/atmo/index.html |title=Atmospheric Correction |access-date=2008-08-18 |publisher=University of Maryland Institute for Advanced Computer Studies| archive-url= https://web.archive.org/web/20080907082923/http://www.umiacs.umd.edu/research/GC/atmo/index.html| archive-date= 7 September 2008 | url-status= live}}</ref> Atmospheric effects in optical remote sensing are significant and complex, dramatically altering the spectral nature of the radiation reaching the remote sensor.<ref>{{cite book |last=Schowengerdt |first=Robert |date=2007 |title=Remote Sensing: Models and Methods for Image Processing |publisher=Elsevier Inc |page=337 |isbn=0-12-369407-8}}</ref> There are various approaches and techniques to conducting atmospheric correction.<ref>{{cite book |last=Schowengerdt |first=Robert |date=2007 |title=Remote Sensing: Models and Methods for Image Processing |publisher=Elsevier Inc |page=338 |isbn=0-12-369407-8}}</ref>



Revision as of 01:30, 23 September 2021

Atmospheric correction is the process of removing the effects of the atmosphere on the reflectance values of images taken by satellite or airborne sensors.[1][2] Atmospheric effects in optical remote sensing are significant and complex, dramatically altering the spectral nature of the radiation reaching the remote sensor.[3] There are various approaches and techniques to conducting atmospheric correction.[4]

Examples of Atmospheric Correction Methods

Examples of atmospheric correction techniques for multispectral remote-sensing images, ordered chronologically to show the historical development of atmospheric correction methods in remote-sensing.
Sensor Approach
MSS band-to-band regression [5]
MSS all-band spectral covariance [6]
airborne MSS band-to-band regression [7]
AVHRR iterative estimation [8]
MSS, TM DOS with exponential scattering model [9]
TM DOS with exponential scattering model, downwelling atmospheric radiance measurements [10]
TM pixel-by-pixel tasseled cap haze parameter [11]
AVHRR DOS, NDVI, AVHRR band 3 [12]
airborne TMS, Landsat TM ground and airborne solar measurements, atmospheric modeling code [13]
TM comparison of ten DOS and atmospheric modeling code variations with field data [14]
TM dark target, modeling code [15]
TM (all bands) atmospheric modeling code, region histogram matching [16]
TM DOS with estimated atmospheric transmittance [17]
TM dark target, atmospheric modeling code
TM, ETM+ empirical line method, single target, ground measurements
TM water reservoirs, comparison of 7 methods for 12 dates
AVHRR 2-band PCT used to separate aerosol components

See also

References

  1. ^ Pacifici, F.; Longbotham, N.; Emery, W. J. (2014-10-01). "The Importance of Physical Quantities for the Analysis of Multitemporal and Multiangular Optical Very High Spatial Resolution Images". IEEE Transactions on Geoscience and Remote Sensing. 52 (10): 6241–6256. Bibcode:2014ITGRS..52.6241P. doi:10.1109/TGRS.2013.2295819.
  2. ^ "Atmospheric Correction". University of Maryland Institute for Advanced Computer Studies. Archived from the original on 7 September 2008. Retrieved 2008-08-18.
  3. ^ Schowengerdt, Robert (2007). Remote Sensing: Models and Methods for Image Processing. Elsevier Inc. p. 337. ISBN 0-12-369407-8.
  4. ^ Schowengerdt, Robert (2007). Remote Sensing: Models and Methods for Image Processing. Elsevier Inc. p. 338. ISBN 0-12-369407-8.
  5. ^ Potter, J. F.; Mendolowitz, M. (1975). On the determination of the haze levels from Landsat data. 10th International Symposium on Remote Sensing of Environment. NASA United States. pp. 695–703. 19760052102.
  6. ^ Switzer, P.; Kowalik, W. S.; Lyon, R. J. (1981). "Estimation of atmospheric path radiance by the covariance matrix method". Photogrammetric Engineering and Remote Sensing. 47: 1469–1476.
  7. ^ Potter, J. F. (1984). "The channel correlation method for estimating aerosol levels from multispectral scanner data". Photogrammetric Engineering and Remote Sensing. 50: 43–52.
  8. ^ Singh, S. M.; Cracknell, A. P. (1986). "The estimation of atmospheric effects for SPOT using AVHRR channel-1 data". International Journal of Remote Sensing. 7 (3): 361–377.
  9. ^ Chavez, P. S. (1988). "An improved dark-object substraction technique for atmospheric scattering correction of multispectral data". Remote Sensing of Environment. 24: 459–479.
  10. ^ Chavez, P. S. (1989). "Radiometric calibration of Landsat Thematic Mapper multispectral images". Photogrammetric Engineering and Remote Sensing. 55 (9): 1285–1294.
  11. ^ Lavreau, J. (1991). "De-hazing Landsat Thematic Mapper images". Photogrammetric Engineering and Remote Sensing. 57 (10): 1297–1302.
  12. ^ Holben, B.; Vermote, E.; Kaufman, Y. J.; Tanre, D.; Kalb, V. (1992). "Aerosol retrieval over land from AVHRR data - application for atmospheric correction". IEEE Transactions on Geoscience and Remote Sensing. 30 (2): 212–222.
  13. ^ Wrigley, R. C.; Spanner, M. A.; Slye, R. E.; Pueschel, R. F.; Aggarwal, H. R. (1992). "Atmospheric correction of remotely sensed image data by a simplified model". Journal of Geophysical Research. 97 (D17): 18797–18814.
  14. ^ Moran, M. S.; Jackson, R. D.; Slater, P. N.; Teillet, P. M. (1992). "Evaluation of simplified procedures for retrieval of land surface reflectance factors from satellite sensor output". Remote Sensing of Environment. 41: 169–184.
  15. ^ Teillet, P. M.; Fedosejevs, G. (1995). "On the dark target approach to atmospheric correction of remotely sensed data". Canadian Journal of Remote Sensing. 21 (4): 374–387.
  16. ^ Richter, R. (1996). "A spatially adaptive fast atmospheric correction algorithm". International Journal of Remote Sensing. 17 (6): 1201–1214.
  17. ^ Chavez, P. S. Jr. (1996). "Image-based atmospheric corrections-revisited and improved". Photogrammetric Engineering and Remote Sensing. 62 (9): 1025–1036.

External links