Atmospheric correction


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

Examples of Atmospheric Correction Methods

SensorApproach
MSSband-to-band regression
MSSall-band spectral covariance
airborne MSSband-to-band regression
AVHRRiterative estimation
MSS, TMDOS with exponential scattering model
TMDOS with exponential scattering model, downwelling atmospheric radiance measurements
TMpixel-by-pixel tasseled cap haze parameter
AVHRRDOS, NDVI, AVHRR band 3
airborne TMS, Landsat TMground and airborne solar measurements, atmospheric modeling code
TMcomparison of ten DOS and atmospheric modeling code variations with field data
TMdark target, modeling code
TM atmospheric modeling code, region histogram matching
TMDOS with estimated atmospheric transmittance
TMdark target, atmospheric modeling code
TM, ETM+empirical line method, single target, ground measurements
TMwater reservoirs, comparison of 7 methods for 12 dates
AVHRR2-band PCT used to separate aerosol components