Dynamic Representation of Terrestrial Soil Predictions of Organisms' Response to the Environment

Abstract

The Dynamic Representation of Terrestrial Soil Predictions of Organisms Response to the Environment (DRTSPORE) platform was created to characterize soil activities in barren, vegetated, and complex environments, predict biological-impacted processes in soil, and generalize the framework to solve a range of Army-relevant problems. Key biological processes include soil stabilization, emerging power sensors, brown out abatement, pathogen emergence, and contaminant and threat degradation. These capabilities are a new essential aid to national security, as they currently do not exist. The primary objective of this research effort, DRTSPORE, was to develop an environmental intelligence tool that adds a biochemical layer to current high resolution remotely sensed terrain and sophisticated weather model products. The mathematical models developed serve as libraries added to the existing graphic user interface. The improved environmental intelligence platform will provide Commanders a tactical decision aid to make better informed decisions about mobility, the placement and construction of a forward operating base, the placement of sensors, and the avoidance of areas where there is a potential for exposure to mobilized toxic materials in the soil.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2018
Accession Number
AD1064200

Entities

People

  • Christopher Felt
  • Karen Foley
  • Komi Messan
  • Lauren Waldrop
  • Michael Morgan
  • Robert T. Jones
  • Robyn A. Barbato
  • Stacey J. Doherty
  • Youl Han

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Bacteria
  • Biological Processes
  • Construction
  • Ecology
  • Environment
  • High Resolution
  • Information Systems
  • Machine Learning
  • Materials
  • Mathematical Models
  • Measurement
  • Microbial Fuel Cells
  • Microbiology
  • Microbiomes
  • Microorganisms
  • Models

Fields of Study

  • Environmental science

Readers

  • Agricultural Chemistry/Soil Science
  • Computational Modeling and Simulation
  • Sensor Fusion and Tracking Systems.