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• W2139517790 abstract "We used the multi-temporal ten-day composite data from the Advanced Very High Resolution Radiometer (AVHRR) for the years 1983 to 1986 to retrieve the Bidirectional Ree ectance Distribution Function (BRDF) using high performance computing techniques. Three di Verent models are used: a simple linear model, a semi-empirical iterative model and a temporal model. The objectives of this study were to compare the performance of di Verent BRDF models at a global scale, assess the computational requirements and optimize the algorithm implementation using high performance computational techniques, and to determine ifthere is any coherent spatial structure in the coe Ycients ofdiVerent BRDF models corresponding to di Verent land cover types. The standard error between model computed ree ectances and the input data was used to quantify the performance ofthe models.Even though the iterative model is computationally more expensive (158 minutes) than either the simple linear model (15 minutes) or the temporal model (16 minutes), the results from all the three models were very similar when the BRDF was estimated at discrete time periods. If the BRDF models were applied without dividing the input data into discrete time intervals, then the temporal model gave better results than the other two. All the models were run on an IBM SP2 parallel machine with 16 CPUs. Most of the mountain- ous and snow covered areas in high latitudes had null values since the cloud screening algorithm used in the Pathe nder processing performed poorly in distin- guishing between snow and clouds. The BRDF coe Ycients of the iterative model and the Fourier coe Ycients of the temporal model showed a strong spatial structure corresponding to known variations in land cover." @default.
• W2139517790 created "2016-06-24" @default.
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• W2139517790 date "2001-07-10" @default.
• W2139517790 modified "2023-09-22" @default.
• W2139517790 title "Characterizing land surface anisotropy from AVHRR data at a global scale using high performance computing" @default.
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• W2139517790 doi "https://doi.org/10.1080/014311601300190668" @default.
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