Attribution Concepts for Sub-meter Resolution Ground Physics Models 76 th MORS Symposium US Coast Guard Academy Approved for public release distribution. 2
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Focus for ERDC R&D In Military Engineering Adaptive Maneuver and Protection Developing Solutions Faster Than The Threat Can Adapt First-Principles Phenomenology Emerging Materials Multi-Scale Physics Collaborators - Stakeholders - Partners Academia Warfighters Multi-Use Integrated Materiel Solutions Engineer Assessments Phenomenological Understanding Government Labs Industry Protection Maneuver Integrated Adaptive Warfighter Solutions Adaptive Protection Scalable Weapons Effects Near Surface Computational Testbed Austere Entry and Maneuver Near Surface Physics Experimental Characterization & Validation Multi-Scale Modeling Scene Generation High Performance Computational Testbeds 3
Virtual Autonomous Navigation Environment (VANE) Scene Generation Models Colors, Stereo Images, Geology, Vegetation, Material Databases Component Models Vehicle Dynamics, Sensor, Power Requirements Controlled, Repeatable Statistically Significant Performance Evaluations of Sensors and UMS Missions Sensor Designs and Evaluations of Autonomous Tactical Behaviors Global and Local Data Fusion Environment For Local Sensor Perception Autonomous Tactical Behavior Evaluations Accurate Local Sensor Evaluations Vegetation Models Thermal, Geometry, Reflectivity, Ray Casting Soil Models Strengths, Moistures, Thermal, Electromagnetics 4
Global Databases Supporting Geospatial Attribution Historic Soils Dataset TR-08-2 14000 Records From 10 TR s Physical Properties of Soils, Location, Attribution Consistent with CTB Inputs 5
Geostatistical Data Needs How to Define Rocks within Strata Layering and Variance in Layers What are the Input Data correlations Correlations with Time and Distance 6
Spatial Distribution of Rocks In Soil Mass Y distance (cm ) 450 400 350 300 250 200 150 100 50 Rocks are extracted and Highlighted in Red 0 0 100 200 300 400 500 600 X distance (cm) 7
Spatial Distribution of Rocks In Soil Mass γ ( h) =.8324(1 e 2 h.0924 ) 8
Spatial Distribution of Rocks In Soil Mass 0 X distance (cm) 0 100 200 300 400 500 600 50 100 Y distance (cm) 150 200 250 300 350 400 450 500 Vertical Locations of Rocks Are Extracted in the Same Manner 9
Spatial Distribution of Rocks In Soil Mass Program to define distribution from digital photographs Number of Rocks Size Location Orientation 10
Spatial Distribution of Moisture, Density, and Porosity in Soil Mass Low Moisture indicates Changes whose Spatial Structure is Random However Density Variations were predictable Density Kg/m^3 3 1440 1420 1400 2 1380 1360 1340 1320 1 1300 1280 1260 0 0 1 2 3 4 5 6 7 8 9 10 11 11 1240
High Resolution Data 0.20 0.18 0.16 Measured Predicted Read Field Data Generate Matching SemiVariagram and Frequency For High Resolution Grid 0.14 0.12 0.10 0.08 0.06 0.04 0.02 0.00 0.45 0.46 0.47 0.48 0.49 0.49 0.50 0.51 0.52 0.53 Probability of State Change When Starting with State 1 Create Transitional Probability Matrix Generate Multiple Realizations 2.2 2 1.8 1.4 1.2 Lag Distance 1 0.8 0.6 0.4 0.2 0% 20% 40% 60% 80% 100% 1 to 1 1 to 2 1 to 3 1 to 4 1 to 5 1 to 6 1 to 7 1 to 8 1 to 9 1 to 10 12
Correlations for Missing Data 13
Layering Effect in Density and Porosity 3 1440 1420 1400 2 1 1380 1360 1340 1320 1300 1280 1260 0 0 1 2 3 4 5 6 7 8 9 10 11 12 1240 14
Summary ERDC research is now heavily focused on using high performance computing simulation testbeds Simulations like VANE involving sensor-terrain interaction will require relevant and realistically heterogeneous attributions for large scale, high resolution, numerical models Techniques for characterizing spatial variability at multiple scales including sub-meter resolutions Techniques for populating sparsely measured attributions using material attribute correlations to densely measured attributions 15
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8 7 6 Variance (%) 5 4 3 2 1 0 0 0.5 1 1.5 2 2.5 Lag Distance BACKUP SLIDES 18
The Generation of Moisture & Density for Subsurface Changes. Low Moisture indicates Changes whose Spatial Structure is Random Density & Porosity Increase with Depth BACKUP SLIDES 19
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Initial Soil Moisture From LSM and Satellites BACKUP SLIDES 21