Site Characterization for Radar Experiments

Abstract

This report describes a field characterization effort designed to furnish the data necessary to support the interpretation of products obtained by an airborne radar imaging mission. Three different types of small mines were precisely located relative to established benchmarks. The surface topography, surface composition, vegetation, and micrometeorology were also characterized. This was executed with sufficient precision so that modelers might characterize the clutter surrounding the objects (targets) imaged. Three 38-by 44-m plots were characterized by recording elevation differences as small as 1 cm for each of the three plots and 0.1 cm for three 1-m subplots within each of the larger plots. Roughness measurements at a scale likely to influence the radar returns were larger plots. Roughness measurements at a scale likely to influence the radar returns were calculated. Soil composition was determined, and the locations of samples are shown in reference to plot coordinates. Principal soil types were sampled for moisture content, specific gravity, and grain size distribution; dielectric measurements of permittivity of the three plots. Physical and floristic attributes of the vegetation communities present were determined using both field and laboratory methods.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1990
Accession Number
ADA230150

Entities

People

  • Katherine S. Long

Tags

Communities of Interest

  • Advanced Electronics
  • C4I
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Classification
  • Detection
  • Detectors
  • Engineers
  • Geometry
  • Grain Size
  • Literature Surveys
  • Massachusetts
  • Measurement
  • Meteorology
  • Millimeter Waves
  • Moisture Content
  • Plastic Explosives
  • Radar
  • Radar Imaging
  • Remote Sensing
  • Weather Stations

Fields of Study

  • Environmental science

Readers

  • Geodesy
  • Mathematics or Statistics
  • Wetland-Land-Environmental Management.