A REMOTE SENSING SURVEY OF AREAS IN CENTRAL COASTAL LOUISIANA. PART I - DISCUSSION.

Abstract

A remote sensing survey of selected areas in coastal Central Louisiana was conducted for the Office of Naval Research. Program objectives were to evaluate and compare the acquired conventional and nonconventional aerial photography and 8 to 14 micron infrared imagery as to their utility in detecting and delineating landforms, land/water contacts, vegetation types, and surface expressions of subsurface structure and features in a deltaic region. The survey areas are characterized by large expanses of marsh and swamp of Recent age dissected or bordered by relict streams flanked with firm, tillable levees; tidal bayous; man-made canals; and beaches and marsh-stranded beaches (i.e., cheniers). Pleistocene exposures, in the form of coastal terraces and upthrust salt-dome islands, also are present. Night coverage of the survey areas with an RS-7 infrared(IR) mapping system was obtained in addition to simultaneous IR and photographic coverage during daytime periods. Photographic films used in this program were: aerial panchromatic (standard black and white)/W12 filter; infrared aero (black and white IR)/W88A filter; aerial Ektachrome (standard color)/HF3 and 4 filters; and Ektachrome infrared aero (camouflage detection)/W12 filters. The RS-7 was filtered to detect only 8 to 14 micron wavelength radiation. Ground data was collected subsequent to the airborne operations to aid imagery analysis and feature identification. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1966
Accession Number
AD0808904

Entities

People

  • Jack R. Van Lopik

Organizations

  • Texas Instruments

Tags

DTIC Thesaurus Topics

  • Aerial Photography
  • Cameras
  • Detection
  • Landforms
  • Louisiana
  • Military Research
  • Photographic Equipment
  • Photographic Film
  • Photographic Materials
  • Photographic Recording Media
  • Photographs
  • Photography
  • Remote Sensing
  • Standards

Fields of Study

  • Environmental science

Readers

  • Computer Vision.
  • Riverine Ecology
  • Spectroscopy.