Magnitude of Improvements Integrated STK EOIR Sensors New atmospheric model Custom 3D models Custom materials Custom temperature profiles

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1 What s New in STK EOIR 11.0 Magnitude of Improvements Integrated STK EOIR Sensors New atmospheric model Custom 3D models Custom materials Custom temperature profiles

2 Magnitude of Improvements Value Output Documentation Save Intermediate Products Internal Reflections Custom Temperature Profiles Editable Solar Spectrum Custom Materials STK EOIR New Sensor Atmosphere Custom 3D Models 5 New Features and 37 vs 9 Resolved Issues from 10.1 as of 7/10/2015 Difficulty

3 Integrated STK EOIR Sensors Moving from 3 rd party to STK gives us STK Property Pages Closer Access to STK Object Model Access to Analysis Work Bench

4 New Atmospheric Model What Was Missing EOIR Atmospheric Parameters and Setup Qualitative Comparisons Quantitative Comparisons I MODTRAN Atmospheric model description whitepaper and slides Source geometry interpolation

5 New Atmospheric Model: What s new? Visibility Effects Skylight

6 New Atmospheric Model: Atmospheric Setup 1) Start by choosing the EOIR Configuration button on the toolbar 2) On the EOIR Configuration pop-up choose the Atmosphere Definition 3) All of the Atmospheric Parameters are the same, but now there s a 3 rd option for Atmosphere Model

7 New Atmospheric Model: Setup Aerosol Model Affects the type of aerosols in the atmosphere, apparent in both visible and thermal imaging Best atmospheres to see through in rough order: Troposphere Rural Urban Maritime Visibility This determines the quantity of the specific aerosols and is proportional to how far one could see on the ground in the visible spectrum Surface conditions are interpolated to upper atmosphere through lapse rate relationships Relative Humidity This determines the amount of water vapor in the lower atmosphere causing stronger H 2 O spectral features (reducing transmission and increasing thermal emission at certain wavelengths) at higher levels

8 New Atmospheric Model: 5 Scenarios 1) Looking Up at the Stars At Night in the Visible Spectrum, Varying Visibility 2) Looking Up at the Stars During the Daytime in the Visible Spectrum, Single Comparison 3) Looking Up at the Stars During the Daytime in the Shortwave IR Spectrum 4) Looking Down at the Earth During the Daytime in the Visible Spectrum 5) Looking Down at the Earth During the Daytime in the Midwave IR Spectrum

9 New Atmospheric Model: Scenario 1 Visible sensor on the ground looking up at the stars at night

10 New Atmospheric Model: Scenario 1 Aerosol: Rural Visibility: 50.0 km Humidity: 45.8 %

11 New Atmospheric Model: Scenario 1 Aerosol: Rural Visibility: 27.0 km Humidity: 45.8 %

12 New Atmospheric Model: Scenario 1 Aerosol: Rural Visibility: 10.0 km Humidity: 45.8 %

13 New Atmospheric Model: Scenario 1 Aerosol: Rural Visibility: 5.0 km Humidity: 45.8 %

14 New Atmospheric Model: Scenario 1 Aerosol: Rural Visibility: 2.0 km Humidity: 45.8 %

15 New Atmospheric Model: Scenario 1 Takeaways New MODTRAN based atmospheric model properly handles visibility as one would expect and as visibility decreases the stars disappear At around 27 km visibility the models match Even though the Simple model looks the same in all cases the values do slightly change

16 New Atmospheric Model: Scenario 2 Visible sensor on the ground looking up at the stars during the daytime

17 New Atmospheric Model: Scenario 2 Aerosol: Rural Visibility: 50.0 km Humidity: 0.0 %

18 New Atmospheric Model: Scenario 2 Takeaways Just as one would expect stars are not easily visible during the daytime with the MODTRAN model There are a few stars visible in the direction farthest from the sun and it is afternoon in the winter time so the MODTRAN based model looks like it s accurately modeling the first visible stars The Simple model does not accurately simulate skylight (scattered path radiance)

19 New Atmospheric Model: Scenario 3 SWIR sensor on the ground looking up at the stars during the daytime

20 New Atmospheric Model: Scenario 3 Daytime Satellite Imaging Analysis Aerosol: Rural Visibility: 50.0 km Humidity: 0.0 %

21 New Atmospheric Model: Scenario 3 Takeaways The MODTRAN model shows more stars are visible because of the lower level of SWIR skylight, however it is definitely still present The Simple model again still does not simulate skylight (scattered path radiance) for the SWIR spectrum

22 New Atmospheric Model: Scenario 4 Visible sensor on a satellite looking down at the earth during the daytime

23 New Atmospheric Model: Scenario 4 Aerosol: Rural Visibility: 27.0 km Humidity: 25.0 %

24 New Atmospheric Model: Scenario 4 Aerosol: Rural Visibility: 15.0 km Humidity: 25.0 %

25 New Atmospheric Model: Scenario 4 Aerosol: Rural Visibility: 10.0 km Humidity: 25.0 %

26 New Atmospheric Model: Scenario 4 Aerosol: Rural Visibility: 5.0 km Humidity: 25.0 %

27 New Atmospheric Model: Scenario 4 Takeaways From space the MODTRAN model seems to handle the visibility parameter realistically At 10 km visibility the two models agree Simple model varies with visibility but is not appear to be drastic enough for the space based simulation

28 New Atmospheric Model: Scenario 5 Midwave Infrared (MWIR) thermal sensor on a satellite looking down at the earth during the daytime

29 New Atmospheric Model: Scenario 5 Aerosol: Rural Visibility: 27.0 km Humidity: 25.0 %

30 New Atmospheric Model: Scenario 5 Aerosol: Rural Visibility: 15.0 km Humidity: 25.0 %

31 New Atmospheric Model: Scenario 5 Aerosol: Rural Visibility: 10.0 km Humidity: 25.0 %

32 New Atmospheric Model: Scenario 5 Aerosol: Rural Visibility: 5.0 km Humidity: 25.0 %

33 New Atmospheric Model: Scenario 5 Takeaways From space both the MODTRAN and Simple models appear to vary slightly with visibility, the aerosols in the rural model affect the MWIR spectrum less drastically than in the visible spectrum The MODTRAN model shows greater contrast under the given atmospheric conditions than the Simple model

34 New Atmospheric Model: Quantitative Bring Up MODTRAN Comparison GUI

35 Custom 3D Models

36 Custom 3D Models

37 Custom 3D Models Video available upon request

38 Custom 3D Models Bring Up 3D Model Conversion Writeup Create and Render 3D Model Sample

39 Custom Materials 27 built in materials Custom reflectance spectra option EOIR BRDF equation derivation Spectral material database

40 Custom Materials

41 Custom Materials

42 Custom Materials Lepidolite

43 Custom Materials Caesium

44 Custom Materials Drilling Fluids

45 Custom Materials

46 Custom Materials Video available upon request

47 Custom Temperature Profiles Static temperature Time-dynamic temperature profile

48 Custom Temperature Profiles

49 Custom Temperature Profiles

50 Custom Temperature Profiles

51 Custom Temperature Profiles Video available upon request

52 Custom Temperature Profiles SEET Passive Thermal Model Astrogator Re-entry

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