Terrestrial Geospatial Remote Assessment for Ingress Locations (Terrestrial GRAIL)

Abstract

The Terrestrial Geospatial Remote Assessment for Ingress Locations (GRAIL) portion of the Army Terrestrial Environmental Modeling and Intelligence System Science and Technology ObjectiveResearch (ARTEMIS STO-R) program was developed to use remote methods of terrain analysis to search for areas suitable for vehicle or aircraft maneuverability, based on slope, roughness, vegetation, soil type, and wetness, and to also perform direct classification of imagery based on soil strength. The product of the GRAIL project was a software program entitled GRAIL Tools. Using a series of filters, GRAIL Tools first eliminates areas of unsuitable slope, land use, obstacles, and vegetation. The algorithms for these filters, using both unsupervised and supervised classification approaches, were applied and trained by a limited amount of ground truth strength measurements to improve GRAIL Tools site selection capabilities. GRAIL Tools then searches for sites that meet geometric criteria for landing and drop zones, the final result being a map of potential landing and drop zones superimposed over satellite imagery. The first generation of GRAIL Tools has proven capable of identifying austere landing and drop zones using remote assessment techniques. GRAIL Tools has been integrated in to the U.S. Armys Situational Awareness Geospatially Enabled (SAGE) software platform.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2018
Accession Number
AD1081240

Entities

People

  • Sally A. Shoop
  • Wendy L. Wieder

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Counter WMD
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Civil Engineering
  • Computer Programs
  • Detection
  • Engineering
  • Engineers
  • Geography
  • Jet Propulsion
  • Machine Learning
  • Measurement
  • Military Operations
  • Military Science
  • Remote Sensing
  • Satellite Imaging
  • Supervised Machine Learning
  • Surface Properties

Readers

  • Distributed Systems and Data Platform Development
  • Explosive Engineering.
  • Geotechnical Engineering.

Technology Areas

  • Space
  • Space - Orbital Debris