You are here: Home
/ Publication Information
Title: Assessing urban forest canopy cover using airborne or satellite imagery
Author: Walton, Jeffrey T.; Nowak, David J.; Greenfield, Eric J.
Source: Arboriculture & Urban Forestry. 34(6): 334-340.
Publication Series: Scientific Journal (JRNL)
Description: With the availability of many sources of imagery and various digital classification techniques, assessing urban forest canopy cover is readily accessible to most urban forest managers. Understanding the capability and limitations of various types of imagery and classification methods is essential to interpreting canopy cover values. An overview of several remote sensing techniques used to assess urban forest canopy cover is presented. A case study comparing canopy cover percentages for Syracuse, New York, U.S. interprets the multiple values developed using different methods. Most methods produce relatively similar results, but the estimate based on the National Land Cover Database is much lower.
Keywords: remote sensing, urban tree canopy
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
- This publication may be available in hard copy. Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact Sharon Hobrla, firstname.lastname@example.org if you notice any errors which make this publication unusable.
XML: View XML
Walton, Jeffrey T.; Nowak, David J.; Greenfield, Eric J. 2008. Assessing urban forest canopy cover using airborne or satellite imagery. Arboriculture & Urban Forestry. 34(6): 334-340.
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility