Since the category of "sand" is broad, we investigated the effects of using different
combinations of sand layers with the Grayling, MI, data. We tested all four types: SM
(silty sand), SW (well-graded sand), SP (poorly graded sand), and SC (clayey sand). The
results are presented in Figure 4.6. The differences follow the thermal conductivity
gradient, with the SW soil having the lowest thermal conductivity and the SM soil the
highest.
FASST will also be used to predict the surface condition of pavement for mobility
purposes. As can be seen in Figure 4.7, it does this very well for the data collected at the
Army Corps of Engineer's CRREL, Hanover, NH, site, especially when compared to the
spot radiometer, which is more accurate than the thermistor.
CRREL Pavement Study, 2002
measured
FASST
spot radiometer
300.0
295.0
290.0
285.0
280.0
275.0
270.0
265.0
260.0
54
55
56
57
58
Day of the Year
Figure 4.7 Comparison of FASST and measured pavement surface temperatures.
4.5 References
Balick, L.K., L.E. Link, R.K. Scoggins, and J.L. Solomon (1981a) Thermal Modeling
of Terrain Surface Elements. U.S. Army Engineer Waterways Experiment Station
Environmental Laboratory, Technical Report EL-81-2.
Balick, L.K., R.K. Scoggins, and L.E. Link (1981b) Inclusion of a Simple Vegetation
Layer in Terrain Temperature Models for Thermal IR Signature Prediction. IEEE Trans
on Geoscience and Remote Sensing, V. GE-19, No. 3, p. 143152.
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