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Surface reflectance characteristics of Langjökull, Iceland
ATM, ETM+ and MODIS radiance data collected for the surface of Langjokull during August 2007.
Radiance data from the three different instruments was then converted to surface broadband
albedo using a number of different methods. The differences between the methods used to derive
the surface albedo were then compared, followed by an analysis of the impact of spatial
resolution and sample size on the differences between the derived surface albedo. Analysis of the
different datasets combined with transect sample analyses of the derived surface albedos
indicated that the most precise methods of deriving albedo from the ATM and ETM+ instruments
was through the use of FLAASH for the ATM and dark pixel atmospheric correction or 6S
atmospheric correction for the ETM+. These first analyses also indicated that the MODIS data was
broadly in agreement with these two datasets. However, analysis of the differences between the
different spatial resolution datasets across the three different spatial extents revealed a number
of differences between the datasets. At the smallest scale the lower resolution datasets were
shown to contain a bias towards representing certain areas in individual pixels. Consequently, the
correlation between the datasets was reduced across greater sample sizes. Moreover, this bias
was shown to prevent the ETM+ and MODIS imagery from averaging highly variable surfaces. The
result of these measurement characteristics was for the low resolution instruments to
overestimate the albedo value of snow in the accumulation area, greatly underestimate the
albedo in the firn zone and struggle to capture the spatial variability in the ablation zone. The
implications of these characteristics for lower resolution data have consequently been outlined,
with the extent of the differences between both the low resolution datasets and the ATM dataset,
indicating that where possible ETM+ imagery should be used to monitor surface albedo
characteristics as it was the most closely correlated with the ATM data