REMOTE SENSING OF TERRAIN STRENGTH FOR MOBILITY MODELING & SIMULATION

2024-01-3843

11/15/2024

Features
Event
2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium
Authors Abstract
Content
ABSTRACT

Knowing the soil’s strength properties is a vital component to accurately develop Go/No-Go mobility maps for the Next Generation NATO Reference Mobility Model (NG-NRMM). The Unified Soil Classification System (USCS) and soil strength of the top 0-6” and 6-12” of the soil are essential terrain inputs for the model. Current methods for the NG-NRMM require in-situ measurement of soil strength using a bevameter, cone penetrometer, or other mechanical contact device. This study examines the use of hyperspectral and thermal imagery to provide ways of remotely characterizing soil type and strength. Hyperspectral imaging provides unique spectrums for each soil where a Soil Classification Index (SCI) was developed to predict the gradation of the soil types. This gradation provides a means of identifying the soil type via the major divisions within the USCS classification system. Thermal imagery is utilized to collect the Apparent Thermal Inertia (ATI) for each pit, which is then correlated to the soil strength.

Citation: J. Ewing, T. Oommen, P. Jayakumar, R. Alger, “Remote Sensing of Terrain Strength for Mobility Modeling Simulation & Software”, In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 11-13, 2020.

Meta TagsDetails
DOI
https://doi.org/10.4271/2024-01-3843
Pages
8
Citation
Ewing, J., Oommen, T., Jayakumar, P., and Alger, R., "REMOTE SENSING OF TERRAIN STRENGTH FOR MOBILITY MODELING & SIMULATION," SAE Technical Paper 2024-01-3843, 2024, https://doi.org/10.4271/2024-01-3843.
Additional Details
Publisher
Published
Nov 15
Product Code
2024-01-3843
Content Type
Technical Paper
Language
English