Atmospheric effects on the NDVI - Strategies for its removal

Y. J. Kaufman, D. Tanré, B. N. Holben, B. Markham, A. Gitelson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationIGARSS 1992 - International Geoscience and Remote Sensing Symposium
Subtitle of host publicationInternational Space Year: Space Remote Sensing
EditorsRuby Williamson, Tammy Stein
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1238-1241
Number of pages4
ISBN (Electronic)0780301382
DOIs
StatePublished - 1992
Event12th Annual International Geoscience and Remote Sensing Symposium, IGARSS 1992 - Houston, United States
Duration: May 26 1992May 29 1992

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2

Other

Other12th Annual International Geoscience and Remote Sensing Symposium, IGARSS 1992
CountryUnited States
CityHouston
Period5/26/925/29/92

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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