TY - GEN
T1 - Atmospheric effects on the NDVI - Strategies for its removal
AU - Kaufman, Y. J.
AU - Tanré, D.
AU - Holben, B. N.
AU - Markham, B.
AU - Gitelson, A.
N1 - Publisher Copyright:
© IEEE 1992.
PY - 1992
Y1 - 1992
N2 - The compositing technique used to derive global vegetation index (NDVI) from the NOAA-AVHRR radiances, reduces the residual effect of water vapor and aerosol on the NDVI. The reduction in the atmospheric effect is shown using a comprehensive measured data set for desert conditions, and a simulation for grass with continental aerosol. A statistical analysis of the probability of occurrence of aerosol optical thickness and precipitable water vapor measured in different climatic regimes is used for this simulation. It is concluded that for a long compositing period (e.g. 27 day), the residual aerosol optical thickness and precipitable water vapor is usually too small to be corrected for. For a 9 day compositing the residual average aerosol effect may be about twice the correction uncertainty. For Landsat-TM or EOS-MODIS data, the newly defined atmospherically resistant vegetation index (ARVI) is more promising than possible direct atmospheric correction schemes, except for heavy desert dust conditions.
AB - The compositing technique used to derive global vegetation index (NDVI) from the NOAA-AVHRR radiances, reduces the residual effect of water vapor and aerosol on the NDVI. The reduction in the atmospheric effect is shown using a comprehensive measured data set for desert conditions, and a simulation for grass with continental aerosol. A statistical analysis of the probability of occurrence of aerosol optical thickness and precipitable water vapor measured in different climatic regimes is used for this simulation. It is concluded that for a long compositing period (e.g. 27 day), the residual aerosol optical thickness and precipitable water vapor is usually too small to be corrected for. For a 9 day compositing the residual average aerosol effect may be about twice the correction uncertainty. For Landsat-TM or EOS-MODIS data, the newly defined atmospherically resistant vegetation index (ARVI) is more promising than possible direct atmospheric correction schemes, except for heavy desert dust conditions.
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U2 - 10.1109/IGARSS.1992.578402
DO - 10.1109/IGARSS.1992.578402
M3 - Conference contribution
AN - SCOPUS:84964497553
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1238
EP - 1241
BT - IGARSS 1992 - International Geoscience and Remote Sensing Symposium
A2 - Williamson, Ruby
A2 - Stein, Tammy
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th Annual International Geoscience and Remote Sensing Symposium, IGARSS 1992
Y2 - 26 May 1992 through 29 May 1992
ER -