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Title: The bidirectional effects of AVHRR measurements over boreal regions

Journal Article · · IEEE Transactions on Geoscience and Remote Sensing
OSTI ID:419614
;  [1]; ; ;
  1. Canada Centre for Remote Sensing, Ottawa, Ontario (Canada)

Northern ecosystems play an important role in regional and global weather and climate. The objectives of this paper are to analyze the bidirectional effects of satellite data over six land-cover types in northern regions, and to test a method for the routine correction of these effects. Analyses and corrections were carried out with both single-day and 10-day composite data obtained by the advanced very high resolution radiometer (AVHRR) from central Canada acquired in 1993/1994, in part, for the boreal ecosystem and atmosphere study (BOREAS). The model of Wu et al. developed from a separate data set collected at lower latitudes, was employed for correcting the effects. Using the model of Wu et al., the BRDF-related variability is reduced by about 68% in channel 1 and 71% in channel 2. After a simple adjustment of the model coefficients, a further reduction of 4% (channel 1) and 6% (channel 2) of the BRDF-related variability was achieved for the 10{sup 6} km{sup 2} BOREAS region. The effectiveness of the correction with both original and refined model of Wu et al. was found to be weakly dependent on land-cover type. Corrections for coniferous, mixed wood, and cropland are better than other land-cover types (rangelands/pasture, deciduous, and transitional forests) with residual BRDF errors around 0.05 in both channels. Overall, the model performs reasonably well throughout the growing season. To apply the model, only general knowledge of land-cover type is required, namely forest, cropland, grassland, and bare ground.

OSTI ID:
419614
Journal Information:
IEEE Transactions on Geoscience and Remote Sensing, Vol. 34, Issue 6; Other Information: PBD: Nov 1996
Country of Publication:
United States
Language:
English