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Proceedings Paper

Analysis of bidirectional reflectance effects on 20 years of AVHRR NDVI data for agricultural regions in Ukraine and Russia
Author(s): James McManus; Menas Kafatos; Gilberto A. Vicente; Long S. Chiu; Jianhe Qu; Ruixin Yang
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Paper Abstract

The Normalized Difference Vegetation Index (NDVI), provide synoptic information on environmental conditions in agricultural regions such as in Ukraine and Russia. However, past studies have raised questions whether the Maximum Value Compositing (MVC) method, used to produce time-series of NDVI, is affected by Bidirectional Reflectance Distributions (BRD), as a result of view geometry, possibly leading to erroneous NDVI values. This study uses Angular Dependence Models (ADM), derived the NOAA/NASA Pathfinder AVHRR Land (PAL) data set, to correct PAL Channels 1 & 2 reflectance for BR. MVC is used to produce ten day NDVI composites, from both the pre-BRD correct channels and the BRD corrected channels. Comparisons of the two NDVI time-series show a slight increase in NDVI for the

Paper Details

Date Published: 17 March 2003
PDF: 9 pages
Proc. SPIE 4879, Remote Sensing for Agriculture, Ecosystems, and Hydrology IV, (17 March 2003); doi: 10.1117/12.463085
Show Author Affiliations
James McManus, George Mason Univ. (United States)
Menas Kafatos, George Mason Univ. (United States)
Gilberto A. Vicente, George Mason Univ. (United States)
Long S. Chiu, George Mason Univ. (United States)
Jianhe Qu, George Mason Univ. (United States)
Ruixin Yang, George Mason Univ. (United States)

Published in SPIE Proceedings Vol. 4879:
Remote Sensing for Agriculture, Ecosystems, and Hydrology IV
Manfred Owe; Guido D'Urso; Leonidas Toulios, Editor(s)

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