Author Type

Graduate Student

Date of Award

1997

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Roberts, Charles

Abstract

Satellite image processing should not be dismissed as a tool to monitor vegetation cover because of cost concerns or classification problems due to topographic extremes. Low cost imagery and image processing software's are available and the image ratio technique can be used to minimize classification problems due to topography. The Forestry Division of St. Vincent island has minimum resources and the island's topography varies from sea level to 1,324 meters. The plight of the endemic, endangered St. Vincent Parrot (Amazona guildingii) was used as a case study. An appropriate habitat monitoring technique was formulated for the Forestry Division so that it may better conserve the species. This technique employs 57 meter resolution imagery and the IDRISI software package. The resulting classification maps areas of habitat versus non-habitat. This technique of low cost, vegetation cover mapping can be used for many natural resource planning and interpretation applications throughout the Caribbean.

Extent

109 p.

Comments

Thesis (M.A.)--Florida Atlantic University, 1997.|Charles E. Schmidt College of Science|FAU Electronic Theses and Dissertations Collection|Thesis (M.A.)--Florida Atlantic University, 1997.

Identifier

FADT15487

Format

pdf

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