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NM(k tpl -k k tpp, - k aJ )c(M)(j)d(_k ) An tZ, n NN(k "n + A n tp, -k k tpp, -k tz, aJ')c(N)(j)d(_k'tZ ) = _ E Vi (_1)n e -in</Ji-imr/2 kip MM(k tp, k tZ, k tpp, k tz 1 aJ )c(M)(j)U(k ) An n tz

Computer 0.7% Physical 67% Math 2.9% FIGURE 4.21 Distribution of DOE academic research budget, 1999.

(12.2.57b)

In this section, we illustrate the numerical simulation results of emissivities of wet soils with 2-D rough surface (3-D problem) A key result is that emissivities are calculated for soils at two frequencies using the same values of physical roughness parameters of rms height and correlation length in centimeters The simulations have important applications in microwave remote sensing of soils In practice, active and passive sensors are used at different frequencies and incident angles The same physical roughness parameters are independent of sensor characteristics and should be used to characterize the soil surface Simulations in this section are based on Gaussian random rough surfaces with Gaussian correlation functions In the numerical results, the surface area used is 64 square wavelengths We use 64 points per square wavelength as coarse grid and 256 points per square wavelength as dense grid, which leads to a total of 98,304 surface unknowns.

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Even though Visual Studio allows you to create an appcon g le for a Class Library project, the NET Framework does not provide a con guration le model for class libraries This means that when you run the application, the appcon g le for any class library is ignored You have to manually copy any settings (including the connection string) from the app con g le de ned for any Class Library project into the appcon g le for the application, which is de ned in the startup Windows Application project

For the rough surfaces with rms height of 03 wavelength, correlation length of 10 wavelength, and relative permittivity of 17 + 2i, the total CPUs for the single dense grid with SMCG are about 45 hours for TE wave and 49 hours for TM wave, respectively, on DEC 3000/700 workstation By using the PBTG with SMCG, the CPUs are about 85 hours for TE and 90 hours for TM, respectively, for the same case The permittivities of wet soil by weight of the soil moisture at L-band (14 GHz) are listed in Table 643 The permittivities of soil by the soil moisture in volumetric water contents (cm3 / cm3 ) for L- and C-bands are given in Table 644 C-band is at 5 GHz Permittivities are based on the results of [Wang and Schmugge, 1980] and are also given in Eq.

(541) of Volume 1 All the cases are computed at the observation angle of 50 degrees, unless otherwise indicated In Tables 645 to 649, emissivities are tabulated for ease of comparisons by interested readers We also illustrate the brightness temperatures in Figs 647 to 6411 The physical temperature is taken as 300 K for all cases..

(A) Variation of Brightness Temperatures at L-Band of Wet Soil with the Soil Moisture and Correlation length at Fixed rms Height

In Figs. 6.4.7 and 6.4.8, we plot the brightness temperatures as a function of soil moisture by weight at L-band for horizontal and vertical polarizations, respectively. The corresponding permittivities are taken from Table 6.4.3. The rms height is fixed at 0.1 wavelength and the correlation lengths are varied from 0.33 to 1.0 wavelengths. It is shown that brightness tem-

Table 6.4.3 Relative permittivities of soil moistures in weight at L-band. Moisture Permittivity at L-band Permittivity at C-band 0.05 3.66+ iO.15 3.62+ iO.19 0.10 4.66+ iO.29 4.52+ iO.44 0.15 6.26+ iO.52 5.94+ iO.85 0.20 8.45+ iO.85 7.90+ i1.42

NOTE: When you build the application, the appconfig file for the startup Windows Application project is renamed with the name of the Windows Application project with a config extension This is the only configuration file the application accesses

Table 6.4.4 Relative permittivities of soil moistures in volumetric water content (cm 3 /cm 3 ) at L- and C-bands.

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