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 derived vegetative data of urban areas is normally classified into several classes of trees, fields, grass and bare soil using unsupervised and supervised classification methods. Normalized Difference Vegetation Indexes (NDVI) have traditionally been applied to agricultural satellite images to assess the health and maturity of commercial crops. When a NDVI is used to examine urban vegetation, many discrete data values are generated which can be differentiated into meaningful vegetation classes.

Extent

116 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

FADT15410

Format

pdf

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