Remote Sensing of Aquatic Plants.

Abstract

This report summarizes a 3-year effort in evaluating the various available remote sensing methods for identification and assessment of expanses of aquatic plants. Both materials and techniques are examined for cost effectiveness and capability to sense aquatic plants on both the local and regional scales. Computer simulation of photographic responses was employed; Landsat, high-altitude photography, side-looking airborne radar, and low-altitude photography were examined to determine the capabilities of each for identifying and assessing aquatic plants. Results of the study revealed Landsat to be the most cost effective for regional surveys, although its coarse resolution would be limiting in some cases. High-quality, high-altitude false-color infrared film showed great potential for species identification. Model studies borne out by field demonstrations showed black-and-white infrared photography to have a strong potential for discriminating infested from uninfested areas, with less associated cost than when false-color infrared is used. False-color infrared does show the greatest potential for discriminating among species. Ground-truth information concerning a specific area aids materially in the mapping. Examples of photographs, maps, and cost analyses of two demonstration projects conducted at Lake Marion, South Carolina, and Lake Seminole Florida, are included. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1979
Accession Number
ADA081737

Entities

People

  • Katherine S. Long

Tags

Communities of Interest

  • Air Platforms
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Aerial Photography
  • Air Force Facilities
  • Air National Guard
  • Aquatic Plants
  • Cameras
  • Data Acquisition
  • Detection
  • Detectors
  • Electromagnetic Radiation
  • Ground Photographs
  • Photographic Materials
  • Photographs
  • Photography
  • Plants
  • Radar
  • Remote Sensing
  • Side Looking Radar

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Sensor Fusion and Tracking Systems.