Document


Title

Vegetation damage detection and assessment: the photographic approach
Document Type: Conference Paper
Author(s): P. A. Murtha
Publication Year: 1984

Cataloging Information

Keyword(s):
  • age classes
  • air quality
  • arthropods
  • bark
  • Canada
  • coniferous forests
  • conifers
  • crowns
  • diseases
  • foliage
  • forest management
  • hardwood forests
  • hardwoods
  • insects
  • photography
  • remote sensing
  • statistical analysis
  • wind
Record Maintained By:
Record Last Modified: June 1, 2018
FRAMES Record Number: 39108
Tall Timbers Record Number: 13740
TTRS Location Status: In-file
TTRS Call Number: Fire File DDW
TTRS Abstract Status: Okay, Fair use, Reproduced by permission

This bibliographic record was either created or modified by the Tall Timbers Research Station and Land Conservancy and is provided without charge to promote research and education in Fire Ecology. The E.V. Komarek Fire Ecology Database is the intellectual property of the Tall Timbers Research Station and Land Conservancy.

Description

The purpose of this paper is to discuss why and how the remote sensing photographic approach can be used in the detection and assessment of vegetation damage. The necessary attributes of the interpreter are mentioned, along with the need to clearly define and outline the objective(s) and desired result(s) of a project. The known manifestations of stresses are fundamental to the successful interpretation of data. Films, filters, and scale effects are discussed relative to their influence on the presentation of data. Finally, a recipe for the remote sensing photographic approach to vegetation damage detection and assessment is suggested. The Literature Cited contains a large number of references which serious users are urged to review

Citation:
Murtha, P. A. 1984. Vegetation damage detection and assessment: the photographic approach, Renewable resources management: applications of remote sensing: proceedings of the RNRF Symposion. Seattle, WA. American Society of Photogrammetry,Falls Church, VA. p. 337-352,