Atmospheric correction: Difference between revisions
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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> |
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Revision as of 01:30, 23 September 2021
This article provides insufficient context for those unfamiliar with the subject.(Sep 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
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
- ^ 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.
- ^ "Atmospheric Correction". University of Maryland Institute for Advanced Computer Studies. Archived from the original on 7 September 2008. Retrieved 2008-08-18.
- ^ Schowengerdt, Robert (2007). Remote Sensing: Models and Methods for Image Processing. Elsevier Inc. p. 337. ISBN 0-12-369407-8.
- ^ Schowengerdt, Robert (2007). Remote Sensing: Models and Methods for Image Processing. Elsevier Inc. p. 338. ISBN 0-12-369407-8.
- ^ 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.
- ^ 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.
- ^ Potter, J. F. (1984). "The channel correlation method for estimating aerosol levels from multispectral scanner data". Photogrammetric Engineering and Remote Sensing. 50: 43–52.
- ^ 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.
- ^ Chavez, P. S. (1988). "An improved dark-object substraction technique for atmospheric scattering correction of multispectral data". Remote Sensing of Environment. 24: 459–479.
- ^ Chavez, P. S. (1989). "Radiometric calibration of Landsat Thematic Mapper multispectral images". Photogrammetric Engineering and Remote Sensing. 55 (9): 1285–1294.
- ^ Lavreau, J. (1991). "De-hazing Landsat Thematic Mapper images". Photogrammetric Engineering and Remote Sensing. 57 (10): 1297–1302.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ Richter, R. (1996). "A spatially adaptive fast atmospheric correction algorithm". International Journal of Remote Sensing. 17 (6): 1201–1214.
- ^ Chavez, P. S. Jr. (1996). "Image-based atmospheric corrections-revisited and improved". Photogrammetric Engineering and Remote Sensing. 62 (9): 1025–1036.
External links