DocumentCode
298732
Title
Correcting the NOAA/NASA Pathfinder AVHRR Land data set for stratospheric aerosols
Author
Ye, G. ; James, M. ; Vermote, E.
Author_Institution
Gen. Sciences Corp., Laurel, MD, USA
Volume
1
fYear
34881
fDate
10-14 Jul1995
Firstpage
265
Abstract
The NOAA/NASA Pathfinder AVHRR Land data set is being produced by using the complete afternoon Advanced Very High Resolution Radiometers (AVHRR) Global Area Coverage (GAC) archive. With satellite intercalibration and atmospheric corrections, the AVHRR Land Pathfinder has developed an operational processing that generates a global, long term data set of 8 km Normalized Difference Vegetation Index (NDVI) and associated reflectances, brightness temperatures, solar and scan geometry, and cloud estimation. Since this derived NDVI is also affected seriously by stratospheric aerosols contents, particularly after the eruption of Mont Pinatubo in the Philippines in June 1991, it is important to make stratospheric aerosol corrections for Pathfinder AVHRR Land data sets which have already been corrected for Rayleigh scattering and ozone absorption. This paper presents the detailed correction algorithms of an operational stratospheric aerosol correction scheme used for Pathfinder AVHRR Land data sets, and discusses some test results
Keywords
atmospheric light propagation; atmospheric optics; geophysical techniques; infrared imaging; meteorology; remote sensing; stratosphere; GAC; Global Area Coverage; IR imaging; NASA; NDVI; NOAA; Normalized Difference Vegetation Index; Pathfinder AVHRR Land data; Philippines; Rayleigh scattering; atmosphere optics; atmospheric correction algorithm; land surface remote sensing; light scattering; measurement technique; optical imaging; remote sensing; satellite; stratospheric aerosol; terrain mapping; volcanic aerosol; Aerosols; Brightness temperature; Clouds; Geometry; NASA; Radiometers; Rayleigh scattering; Satellite broadcasting; Solar power generation; Vegetation;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location
Firenze
Print_ISBN
0-7803-2567-2
Type
conf
DOI
10.1109/IGARSS.1995.520254
Filename
520254
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