Geobotanical Remote Sensing for Determination of Aggregate Source Material

Abstract

Aggregate source material suitable for facility and roadbed construction is often a very limited and highly valuable resource. The location of suitable source material is crucial to construction operations once facility requirements are established. The application of airborne and spaceborne remote sensing to terrain information requirements has proved attractive because of the rapid processing time and extensive spatial coverage associated with remotely gathered imagery. Source material identification may be improved by the remote sensing of vegetation associated with the material, particularly in areas of high vegetative cover. A research study employing remote sensing techniques was initiated to determine if vegetation could be used to discriminate parent materials for suitability as aggregate source material. Two test sites representing potential alluvial and residual source areas were selected in a semiarid region of Central California. Methods developed for the study included field observations of vegetation characteristics associated with the two parent material types along with the analysis of Thematic Mapper Simulator data flown over the test sites. The most useful images were those composites that included bands from two of the techniques (i.e., a Perpendicular Vegetation Index (PVI) band combined with principal components bands).

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1988
Accession Number
ADA205943

Entities

People

  • David Mouat
  • Jeff Myers
  • Timothy Minor

Organizations

  • Naval Facilities Engineering Service Center

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Acquisition
  • California
  • Civil Engineering
  • Construction
  • Construction Materials
  • Data Acquisition
  • Engineering
  • Environmental Protection
  • Geographic Regions
  • Geography
  • Image Processing
  • Materials
  • Plants
  • Remote Sensing
  • Simulators
  • United States
  • Vegetation

Readers

  • Computer Vision.
  • Systems Analysis and Design
  • Wetland-Land-Environmental Management.