Evidence of surface reflectance bidirectional effects from a NOAA/ AVHRR multi-temporal data set

Abstract Time series of reflectances over the Valensole plateau test site (southeast of France) obtained from NOAA-9 Advanced Very High Resolution Radiometer (AVHRR) data show significant short-term variations over a three-month period. This paper demonstrates that the short-term variations are due essentially to surface bidirectional effects while atmospheric directional effects and other sources of fluctuations remain of lower amplitude. When the data are classified according to their viewing angles, in order to reduce the influence of directional effects, the consistency of the NDVI time series is strongly improved and its r.m.s. level of short-term fluctuations is decreased by a factor of 2, from 005 to 0025. Taking into account the effects induced by viewing angle variations should allow us to improve definitely the accuracy of the characterization and monitoring of the terrestrial vegetation.

[1]  Dan Tarpley,et al.  Cloud screening for determination of land surface characteristics in a reduced resolution satellite data set , 1987 .

[2]  Inez Y. Fung,et al.  Application of Advanced Very High Resolution Radiometer vegetation index to study atmosphere‐biosphere exchange of CO2 , 1987 .

[3]  M J Duggin,et al.  Recorded radiance indices for vegetation monitoring using NOAA AVHRR data; atmospheric and other effects in multitemporal data sets. , 1984, Applied optics.

[4]  F. Bretherton,et al.  Cloud cover from high-resolution scanner data - Detecting and allowing for partially filled fields of view , 1982 .

[5]  E. J. Brach,et al.  Bidirectional reflectance of crops and the soil contribution , 1979 .

[6]  K. Coulson,et al.  The Spectral Reflectance of Natural Surfaces , 1971 .

[7]  Kriebel Kt,et al.  Measured spectral bidirectional reflection properties of four vegetated surfaces. , 1978 .

[8]  Thomas F. Eck,et al.  Atmospheric optical depth effects on angular anisotropy of plant canopy reflectance , 1987 .

[9]  Compton J. Tucker,et al.  Directional reflectance factor distributions for cover types of Northern Africa , 1985 .

[10]  C. J. Tucker,et al.  Relationship between atmospheric CO2 variations and a satellite-derived vegetation index , 1986, Nature.

[11]  G. Gutman On the relationship between monthly mean and maximum-value composite normalized vegetation indices , 1989 .

[12]  B. Holben,et al.  Red and near-infrared sensor response to off-nadiir viewing , 1984 .

[13]  Garik Gutman,et al.  The derivation of vegetation indices from AVHRR data , 1987 .

[14]  Robert Frouin,et al.  Determination from Space of Atmospheric Total Water Vapor Amounts by Differential Absorption near 940 nm: Theory and Airborne Verification , 1990 .

[15]  Larry L. Stowe,et al.  Reflectance characteristics of uniform Earth and cloud surfaces derived from NIMBUS‐7 ERB , 1984 .

[16]  R. D. Jackson,et al.  Directional reflectance factor distributions of a cotton row crop , 1984 .

[17]  C. Tucker,et al.  Optimal directional view angles for remote-sensing missions , 1984 .

[18]  P. Deschamps,et al.  Description of a computer code to simulate the satellite signal in the solar spectrum : the 5S code , 1990 .

[19]  A. Cracknell,et al.  Effect of shadows cast by vertical protrusions on AVHRR data , 1985 .

[20]  D. Kimes Dynamics of directional reflectance factor distributions for vegetation canopies. , 1983, Applied optics.

[21]  Brent N. Holben,et al.  Directional reflectance response in AVHRR red and near-IR bands for three cover types and varying atmospheric conditions , 1986 .