Coastal Remote Sensing Investigations. Volume 2. Beach Environment

Abstract

An algorithm was developed which first classifies beach sands into one of five mineralogical classifications, then estimates grain size and soil moisture using equations based on actual and AQUASAND data. This algorithm was evaluated using 'unknown' beach sand samples. The algorithm correctly identified the beach mineralogy in three out of the six cases, and the soil moisture estimates were in good agreement with the correctly predicted grain size. The algorithm was modified to classify airborne multispectral scanner data from two test sites (Lake Michigan and Panama City, Florida). This report also contains sections on the use of satellite data as inputs into the MOGS algorithm and the development of similar algorithms for soils other than sand.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1980
Accession Number
ADA095692

Entities

People

  • Eric S. Kasischke

Organizations

  • Environmental Research Institute of Michigan

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Detection
  • Detectors
  • Grain Size
  • Heat Energy
  • Measurement
  • Mineralogy
  • Moisture Content
  • Optical Properties
  • Physical Properties
  • Radar
  • Radiative Transfer
  • Refractive Index
  • Remote Sensing
  • Scattering
  • Synthetic Aperture Radar
  • United States

Readers

  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Computer Vision.
  • Geotechnical Engineering.

Technology Areas

  • Space